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ORCIDSilvio Savarese
Person information
- affiliation: Stanford University, Department of Computer Science, Stanford, CA, USA
- affiliation (2008 - 2013): University of Michigan, Department of Electrical and Computer Engineering, Ann Arbor, MI, USA
- affiliation (2005 - 2008): University of Illinois, Urbana-Champaign, IL, USA
- affiliation (PhD 2005): California Institute of Technology, Pasadena, CA, USA
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2020 – today
- 2024
[j31]Bokui Shen
, Zhenyu Jiang, Christopher Bongsoo Choy, Silvio Savarese, Leonidas J. Guibas, Anima Anandkumar, Yuke Zhu:
Action-conditional implicit visual dynamics for deformable object manipulation. Int. J. Robotics Res. 43(4): 437-455 (2024)- [j30]Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone:
Sample-efficient safety assurances using conformal prediction. Int. J. Robotics Res. 43(9): 1409-1424 (2024) - [c220]Itai Feigenbaum, Devansh Arpit, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese, Huan Wang:
Causal Layering via Conditional Entropy. CLeaR 2024: 1176-1191 - [c219]Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu:
HIVE: Harnessing Human Feedback for Instructional Visual Editing. CVPR 2024: 9026-9036 - [c218]Le Xue, Ning Yu, Shu Zhang, Artemis Panagopoulou, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding. CVPR 2024: 27081-27091 - [c217]Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong:
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. EACL (Findings) 2024: 2299-2315 - [c216]Artemis Panagopoulou, Le Xue, Ning Yu, Junnan Li, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles:
X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-Modal Reasoning. ECCV (45) 2024: 177-197 - [c215]Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai:
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations. ICLR 2024 - [c214]Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh R. N., Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. ICLR 2024 - [c213]Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo:
Unified Training of Universal Time Series Forecasting Transformers. ICML 2024 - [c212]Rachel Luo, Rohan Sinha, Yixiao Sun, Ali Hindy, Shengjia Zhao, Silvio Savarese, Edward Schmerling, Marco Pavone:
Online Distribution Shift Detection via Recency Prediction. ICRA 2024: 16251-16263 - [c211]Anas Awadalla, Le Xue, Oscar Lo, Manli Shu, Hannah Lee, Etash Guha, Sheng Shen, Mohamed Awadalla, Silvio Savarese, Caiming Xiong, Ran Xu, Yejin Choi, Ludwig Schmidt:
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens. NeurIPS 2024 - [c210]Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh R. N., Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong:
APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets. NeurIPS 2024 - [c209]Tianbao Xie, Danyang Zhang, Jixuan Chen, Xiaochuan Li, Siheng Zhao, Ruisheng Cao, Toh Jing Hua, Zhoujun Cheng, Dongchan Shin, Fangyu Lei, Yitao Liu, Yiheng Xu, Shuyan Zhou, Silvio Savarese, Caiming Xiong, Victor Zhong, Tao Yu:
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments. NeurIPS 2024 - [i186]Itai Feigenbaum, Devansh Arpit, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese:
Editing Arbitrary Propositions in LLMs without Subject Labels. CoRR abs/2401.07526 (2024) - [i185]Itai Feigenbaum, Devansh Arpit, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese:
Causal Layering via Conditional Entropy. CoRR abs/2401.10495 (2024) - [i184]Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo:
Unified Training of Universal Time Series Forecasting Transformers. CoRR abs/2402.02592 (2024) - [i183]Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese:
Text2Data: Low-Resource Data Generation with Textual Control. CoRR abs/2402.10941 (2024) - [i182]Jianguo Zhang, Tian Lan, Rithesh Murthy, Zhiwei Liu, Weiran Yao, Juntao Tan, Thai Hoang, Liangwei Yang, Yihao Feng, Zuxin Liu, Tulika Manoj Awalgaonkar, Juan Carlos Niebles, Silvio Savarese, Shelby Heinecke, Huan Wang, Caiming Xiong:
AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning. CoRR abs/2402.15506 (2024) - [i181]Zhiwei Liu, Weiran Yao, Jianguo Zhang, Liangwei Yang, Zuxin Liu, Juntao Tan, Prafulla Kumar Choubey, Tian Lan, Jason Wu, Huan Wang, Shelby Heinecke, Caiming Xiong, Silvio Savarese:
AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System. CoRR abs/2402.15538 (2024) - [i180]Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Wensi Ai, Benjamin Jose Martinez, Hang Yin, Michael Lingelbach, Minjune Hwang, Ayano Hiranaka, Sujay Garlanka, Arman Aydin, Sharon Lee, Jiankai Sun, Mona Anvari, Manasi Sharma, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Yunzhu Li, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei:
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1, 000 Everyday Activities and Realistic Simulation. CoRR abs/2403.09227 (2024) - [i179]Tianbao Xie, Danyang Zhang, Jixuan Chen, Xiaochuan Li, Siheng Zhao, Ruisheng Cao, Toh Jing Hua, Zhoujun Cheng, Dongchan Shin, Fangyu Lei, Yitao Liu, Yiheng Xu, Shuyan Zhou, Silvio Savarese, Caiming Xiong, Victor Zhong, Tao Yu:
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments. CoRR abs/2404.07972 (2024) - [i178]Rithesh Murthy, Liangwei Yang, Juntao Tan, Tulika Manoj Awalgaonkar, Yilun Zhou, Shelby Heinecke, Sachin Desai, Jason Wu, Ran Xu, Sarah Tan, Jianguo Zhang, Zhiwei Liu, Shirley Kokane, Zuxin Liu, Ming Zhu, Huan Wang, Caiming Xiong, Silvio Savarese:
MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases. CoRR abs/2406.10290 (2024) - [i177]Anas Awadalla, Le Xue, Oscar Lo, Manli Shu, Hannah Lee, Etash Kumar Guha, Matt Jordan, Sheng Shen, Mohamed Awadalla, Silvio Savarese, Caiming Xiong, Ran Xu, Yejin Choi, Ludwig Schmidt:
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens. CoRR abs/2406.11271 (2024) - [i176]Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh Murthy, Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong:
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets. CoRR abs/2406.18518 (2024) - [i175]Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo:
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness. CoRR abs/2407.02518 (2024) - [i174]Yilun Zhou, Caiming Xiong, Silvio Savarese, Chien-Sheng Wu:
Shared Imagination: LLMs Hallucinate Alike. CoRR abs/2407.16604 (2024) - [i173]Tian Lan, Huan Wang, Caiming Xiong, Silvio Savarese:
Enabling High Data Throughput Reinforcement Learning on GPUs: A Domain Agnostic Framework for Data-Driven Scientific Research. CoRR abs/2408.00930 (2024) - [i172]Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh Murthy, Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong:
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. CoRR abs/2408.07060 (2024) - [i171]Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR abs/2408.08872 (2024) - [i170]Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong:
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations. CoRR abs/2408.12590 (2024) - [i169]Jianguo Zhang, Tian Lan, Ming Zhu, Zuxin Liu, Thai Hoang, Shirley Kokane, Weiran Yao, Juntao Tan, Akshara Prabhakar, Haolin Chen, Zhiwei Liu, Yihao Feng, Tulika Manoj Awalgaonkar, Rithesh Murthy, Eric Hu, Zeyuan Chen, Ran Xu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
xLAM: A Family of Large Action Models to Empower AI Agent Systems. CoRR abs/2409.03215 (2024) - [i168]Xuan-Phi Nguyen, Shrey Pandit, Senthil Purushwalkam, Austin Xu, Hailin Chen, Yifei Ming, Zixuan Ke, Silvio Savarese, Caiming Xong, Shafiq Joty:
SFR-RAG: Towards Contextually Faithful LLMs. CoRR abs/2409.09916 (2024) - [i167]Taha Aksu, Gerald Woo, Juncheng Liu, Xu Liu, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo:
GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation. CoRR abs/2410.10393 (2024) - [i166]Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo:
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts. CoRR abs/2410.10469 (2024) - [i165]Michael S. Ryoo, Honglu Zhou, Shrikant Kendre, Can Qin, Le Xue, Manli Shu, Silvio Savarese, Ran Xu, Caiming Xiong, Juan Carlos Niebles:
xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs. CoRR abs/2410.16267 (2024) - [i164]Zhiwei Liu, Weiran Yao, Jianguo Zhang, Rithesh Murthy, Liangwei Yang, Zuxin Liu, Tian Lan, Ming Zhu, Juntao Tan, Shirley Kokane, Thai Hoang, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent. CoRR abs/2410.18528 (2024) - [i163]Antonio A. Ginart, Naveen Kodali, Jason Lee, Caiming Xiong, Silvio Savarese, John Emmons:
Asynchronous Tool Usage for Real-Time Agents. CoRR abs/2410.21620 (2024) - [i162]Kung-Hsiang Huang, Akshara Prabhakar, Sidharth Dhawan, Yixin Mao, Huan Wang, Silvio Savarese, Caiming Xiong, Philippe Laban, Chien-Sheng Wu:
CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments. CoRR abs/2411.02305 (2024) - [i161]Haolin Chen, Yihao Feng, Zuxin Liu, Weiran Yao, Akshara Prabhakar, Shelby Heinecke, Ricky Ho, Phil Mui, Silvio Savarese, Caiming Xiong, Huan Wang:
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding. CoRR abs/2411.04282 (2024) - [i160]Jierui Li, Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo:
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models. CoRR abs/2411.04329 (2024) - [i159]Anas Awadalla, Le Xue, Manli Shu, An Yan, Jun Wang, Senthil Purushwalkam, Sheng Shen, Hannah Lee, Oscar Lo, Jae Sung Park, Etash Guha, Silvio Savarese, Ludwig Schmidt, Yejin Choi, Caiming Xiong, Ran Xu:
BLIP3-KALE: Knowledge Augmented Large-Scale Dense Captions. CoRR abs/2411.07461 (2024) - [i158]Ye Liu, Rui Meng, Shafiq Joty, Silvio Savarese, Caiming Xiong, Yingbo Zhou, Semih Yavuz:
CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval. CoRR abs/2411.12644 (2024) - [i157]Yun Peng, Akhilesh Deepak Gotmare, Michael Lyu, Caiming Xiong, Silvio Savarese, Doyen Sahoo:
PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback. CoRR abs/2412.03578 (2024) - [i156]Zixian Ma, Jianguo Zhang, Zhiwei Liu, Jieyu Zhang, Juntao Tan, Manli Shu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Caiming Xiong, Ranjay Krishna, Silvio Savarese:
TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action. CoRR abs/2412.05479 (2024) - [i155]Jieyu Zhang, Le Xue, Linxin Song, Jun Wang, Weikai Huang, Manli Shu, An Yan, Zixian Ma, Juan Carlos Niebles, Silvio Savarese, Caiming Xiong, Zeyuan Chen, Ranjay Krishna, Ran Xu:
ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models. CoRR abs/2412.07012 (2024) - [i154]Artemis Panagopoulou, Honglu Zhou, Silvio Savarese, Caiming Xiong, Chris Callison-Burch, Mark Yatskar, Juan Carlos Niebles:
ViUniT: Visual Unit Tests for More Robust Visual Programming. CoRR abs/2412.08859 (2024) - 2023
- [j29]Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang:
Merlion: End-to-End Machine Learning for Time Series. J. Mach. Learn. Res. 24: 226:1-226:6 (2023) - [j28]Roberto Martín-Martín, Mihir Patel, Hamid Rezatofighi, Abhijeet Shenoi, JunYoung Gwak, Eric Frankel, Amir Sadeghian, Silvio Savarese:
JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6748-6765 (2023) - [j27]Tran Thien Dat Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Ba-Tuong Vo, Silvio Savarese, Ian D. Reid:
How Trustworthy are Performance Evaluations for Basic Vision Tasks? IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8538-8552 (2023) - [c208]Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi:
LAVIS: A One-stop Library for Language-Vision Intelligence. ACL (demo) 2023: 31-41 - [c207]Jiacheng Xu, Caiming Xiong, Silvio Savarese, Yingbo Zhou:
Best-k Search Algorithm for Neural Text Generation. ACL (1) 2023: 12385-12401 - [c206]Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Chengshu Li, Emily Jin, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín:
Modeling Dynamic Environments with Scene Graph Memory. AAMAS 2023: 2851-2853 - [c205]Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding. CVPR 2023: 1179-1189 - [c204]Honglu Zhou, Roberto Martín-Martín, Mubbasir Kapadia, Silvio Savarese, Juan Carlos Niebles:
Procedure-Aware Pretraining for Instructional Video Understanding. CVPR 2023: 10727-10738 - [c203]Bo Pang, Erik Nijkamp, Wojciech Kryscinski, Silvio Savarese, Yingbo Zhou, Caiming Xiong:
Long Document Summarization with Top-down and Bottom-up Inference. EACL (Findings) 2023: 1237-1254 - [c202]Junnan Li, Silvio Savarese, Steven C. H. Hoi:
Masked Unsupervised Self-training for Label-free Image Classification. ICLR 2023 - [c201]Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong:
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis. ICLR 2023 - [c200]Trevor Scott Standley, Ruohan Gao, Dawn Chen, Jiajun Wu, Silvio Savarese:
An Extensible Multi-modal Multi-task Object Dataset with Materials. ICLR 2023 - [c199]Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín:
Modeling Dynamic Environments with Scene Graph Memory. ICML 2023: 17976-17993 - [c198]Junnan Li, Dongxu Li, Silvio Savarese, Steven C. H. Hoi:
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models. ICML 2023: 19730-19742 - [c197]Ruohan Gao, Hao Li, Gokul Dharan, Zhuzhu Wang, Chengshu Li, Fei Xia, Silvio Savarese, Li Fei-Fei, Jiajun Wu:
Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear. ICRA 2023: 704-711 - [c196]Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu:
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. NeurIPS 2023 - [c195]Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. SIGDIAL 2023: 509-518 - [i153]Junnan Li, Dongxu Li, Silvio Savarese, Steven C. H. Hoi:
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models. CoRR abs/2301.12597 (2023) - [i152]Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu:
HIVE: Harnessing Human Feedback for Instructional Visual Editing. CoRR abs/2303.09618 (2023) - [i151]Honglu Zhou, Roberto Martín-Martín, Mubbasir Kapadia, Silvio Savarese, Juan Carlos Niebles:
Procedure-Aware Pretraining for Instructional Video Understanding. CoRR abs/2303.18230 (2023) - [i150]Qian Cheng, Doyen Sahoo, Amrita Saha, Wenzhuo Yang, Chenghao Liu, Gerald Woo, Manpreet Singh, Silvio Savarese, Steven C. H. Hoi:
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges. CoRR abs/2304.04661 (2023) - [i149]Erik Nijkamp, Hiroaki Hayashi, Caiming Xiong, Silvio Savarese, Yingbo Zhou:
CodeGen2: Lessons for Training LLMs on Programming and Natural Languages. CoRR abs/2305.02309 (2023) - [i148]Le Xue, Ning Yu, Shu Zhang, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding. CoRR abs/2305.08275 (2023) - [i147]Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu:
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. CoRR abs/2305.11147 (2023) - [i146]Trevor Standley, Ruohan Gao, Dawn Chen, Jiajun Wu, Silvio Savarese:
An Extensible Multimodal Multi-task Object Dataset with Materials. CoRR abs/2305.14352 (2023) - [i145]Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Chengshu Li, Emily Jin, Ruohan Zhang, Fei-Fei Li, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín:
Modeling Dynamic Environments with Scene Graph Memory. CoRR abs/2305.17537 (2023) - [i144]Ruohan Gao, Hao Li, Gokul Dharan, Zhuzhu Wang, Chengshu Li, Fei Xia, Silvio Savarese, Li Fei-Fei, Jiajun Wu:
Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear. CoRR abs/2306.00923 (2023) - [i143]Rithesh Murthy, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
REX: Rapid Exploration and eXploitation for AI Agents. CoRR abs/2307.08962 (2023) - [i142]Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong:
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. CoRR abs/2307.10172 (2023) - [i141]Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh Murthy, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. CoRR abs/2308.02151 (2023) - [i140]Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, Rithesh Murthy, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents. CoRR abs/2308.05960 (2023) - [i139]Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. CoRR abs/2308.08169 (2023) - [i138]Erik Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang, Congying Xia, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, Senthil Purushwalkam, Tong Niu, Wojciech Kryscinski, Lidiya Murakhovs'ka, Prafulla Kumar Choubey, Alexander R. Fabbri, Ye Liu, Rui Meng, Lifu Tu, Meghana Bhat, Chien-Sheng Wu, Silvio Savarese, Yingbo Zhou, Shafiq Joty, Caiming Xiong:
XGen-7B Technical Report. CoRR abs/2309.03450 (2023) - [i137]Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai:
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations. CoRR abs/2310.10616 (2023) - [i136]Tao Sun, Yan Hao, Shengyu Huang, Silvio Savarese, Konrad Schindler, Marc Pollefeys, Iro Armeni:
Nothing Stands Still: A Spatiotemporal Benchmark on 3D Point Cloud Registration Under Large Geometric and Temporal Change. CoRR abs/2311.09346 (2023) - [i135]Artemis Panagopoulou, Le Xue, Ning Yu, Junnan Li, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles:
X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning. CoRR abs/2311.18799 (2023) - 2022
- [c194]Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Michael Lingelbach, Jiankai Sun, Mona Anvari, Minjune Hwang, Manasi Sharma, Arman Aydin, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei:
BEHAVIOR-1K: A Benchmark for Embodied AI with 1, 000 Everyday Activities and Realistic Simulation. CoRL 2022: 80-93 - [c193]Mahsa Ehsanpour, Fatemeh Sadat Saleh, Silvio Savarese, Ian D. Reid, Hamid Rezatofighi:
JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection. CVPR 2022: 20951-20960 - [c192]Anthony Meng Huat Tiong, Junnan Li, Boyang Li, Silvio Savarese, Steven C. H. Hoi:
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training. EMNLP (Findings) 2022: 951-967 - [c191]Lyne P. Tchapmi, Trishiet Ray, Micael Tchapmi, Bokui Shen, Roberto Martin Martin, Silvio Savarese:
Generating Procedural 3D materials from Images using Neural Networks. IVSP 2022: 32-40 - [c190]Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven Chu-Hong Hoi:
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning. NeurIPS 2022 - [c189]Bokui Shen, Zhenyu Jiang, Christopher B. Choy, Silvio Savarese, Leonidas J. Guibas, Anima Anandkumar, Yuke Zhu:
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation. Robotics: Science and Systems 2022 - [c188]Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone:
Local calibration: metrics and recalibration. UAI 2022: 1286-1295 - [c187]Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone:
Sample-Efficient Safety Assurances Using Conformal Prediction. WAFR 2022: 149-169 - [i134]Bokui Shen, Zhenyu Jiang, Christopher B. Choy, Leonidas J. Guibas, Silvio Savarese, Anima Anandkumar, Yuke Zhu:
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation. CoRR abs/2203.06856 (2022) - [i133]Bo Pang, Erik Nijkamp, Wojciech Kryscinski, Silvio Savarese, Yingbo Zhou, Caiming Xiong:
Long Document Summarization with Top-down and Bottom-up Inference. CoRR abs/2203.07586 (2022) - [i132]Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong:
A Conversational Paradigm for Program Synthesis. CoRR abs/2203.13474 (2022) - [i131]Wenzhuo Yang, Hung Le, Silvio Savarese, Steven C. H. Hoi:
OmniXAI: A Library for Explainable AI. CoRR abs/2206.01612 (2022) - [i130]Junnan Li, Silvio Savarese, Steven C. H. Hoi:
Masked Unsupervised Self-training for Zero-shot Image Classification. CoRR abs/2206.02967 (2022) - [i129]Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven C. H. Hoi:
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning. CoRR abs/2207.01780 (2022) - [i128]JunYoung Gwak, Silvio Savarese, Jeannette Bohg:
Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking. CoRR abs/2208.10056 (2022) - [i127]Dongxu Li, Junnan Li, Hung Le, Guangsen Wang, Silvio Savarese, Steven C. H. Hoi:
LAVIS: A Library for Language-Vision Intelligence. CoRR abs/2209.09019 (2022) - [i126]Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu:
Retrospectives on the Embodied AI Workshop. CoRR abs/2210.06849 (2022) - [i125]Anthony Meng Huat Tiong, Junnan Li, Boyang Li, Silvio Savarese, Steven C. H. Hoi:
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training. CoRR abs/2210.08773 (2022) - [i124]Rachel Luo, Rohan Sinha, Ali Hindy, Shengjia Zhao, Silvio Savarese, Edward Schmerling, Marco Pavone:
Online Distribution Shift Detection via Recency Prediction. CoRR abs/2211.09916 (2022) - [i123]Jiacheng Xu, Caiming Xiong, Silvio Savarese, Yingbo Zhou:
Best-k Search Algorithm for Neural Text Generation. CoRR abs/2211.11924 (2022) - [i122]Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP: Learning Unified Representation of Language, Image and Point Cloud for 3D Understanding. CoRR abs/2212.05171 (2022) - 2021
- [j26]Douwe van der Wal, Iny Jhun, Israa Laklouk, Jeffrey J. Nirschl, Lara Richer, Rebecca Rojansky, Talent Theparee, Joshua Wheeler, Jörg Sander, Felix Y. Feng, Osama Mohamad, Silvio Savarese, Richard Socher, Andre Esteva:
Biological data annotation via a human-augmenting AI-based labeling system. npj Digit. Medicine 4 (2021) - [c186]Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Elliott Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese:
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks. CoRL 2021: 455-465 - [c185]Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Elliott Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei:
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments. CoRL 2021: 477-490 - [c184]Chen Wang, Claudia Pérez-D'Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese:
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration. CoRL 2021: 1279-1290 - [c183]Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn:
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation. CoRL 2021: 1303-1315 - [c182]Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martín-Martín:
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation. CoRL 2021: 1367-1378 - [c181]Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín:
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation. CoRL 2021: 1678-1690 - [c180]Kevin Chen, Junshen K. Chen, Jo Chuang, Marynel Vázquez, Silvio Savarese:
Topological Planning With Transformers for Vision-and-Language Navigation. CVPR 2021: 11276-11286 - [c179]Vida Adeli, Mahsa Ehsanpour, Ian D. Reid, Juan Carlos Niebles, Silvio Savarese, Ehsan Adeli, Hamid Rezatofighi:
TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild. ICCV 2021: 13370-13380 - [c178]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Adaptive Procedural Task Generation for Hard-Exploration Problems. ICLR 2021 - [c177]Claudia Pérez-D'Arpino, Can Liu, Patrick Goebel, Roberto Martín-Martín, Silvio Savarese:
Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning. ICRA 2021: 1140-1146 - [c176]Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese:
ReLMoGen: Integrating Motion Generation in Reinforcement Learning for Mobile Manipulation. ICRA 2021: 4583-4590 - [c175]Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Deep Affordance Foresight: Planning Through What Can Be Done in the Future. ICRA 2021: 6206-6213 - [c174]Arthur Allshire, Roberto Martín-Martín, Charles Lin, Shawn Manuel, Silvio Savarese, Animesh Garg:
LASER: Learning a Latent Action Space for Efficient Reinforcement Learning. ICRA 2021: 6650-6656 - [c173]Albert Tung, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
Learning Multi-Arm Manipulation Through Collaborative Teleoperation. ICRA 2021: 9212-9219 - [c172]Andrey Kurenkov, Roberto Martín-Martín, Jeffrey Ichnowski, Ken Goldberg, Silvio Savarese:
Semantic and Geometric Modeling with Neural Message Passing in 3D Scene Graphs for Hierarchical Mechanical Search. ICRA 2021: 11227-11233 - [c171]Noriaki Hirose, Shun Taguchi, Fei Xia, Roberto Martín-Martín, Kosuke Tahara, Masanori Ishigaki, Silvio Savarese:
Probabilistic Visual Navigation with Bidirectional Image Prediction. IROS 2021: 1539-1546 - [c170]Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Claudia Pérez-D'Arpino, Shyamal Buch, Sanjana Srivastava, Lyne Tchapmi, Micael Tchapmi, Kent Vainio, Josiah Wong, Li Fei-Fei, Silvio Savarese:
iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes. IROS 2021: 7520-7527 - [c169]Chen Wang, Rui Wang, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Danfei Xu:
Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control. IROS 2021: 8913-8920 - [c168]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Discovering Generalizable Skills via Automated Generation of Diverse Tasks. Robotics: Science and Systems 2021 - [i121]Agrim Gupta, Silvio Savarese, Surya Ganguli, Li Fei-Fei:
Embodied Intelligence via Learning and Evolution. CoRR abs/2102.02202 (2021) - [i120]Rachel Luo, Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai, Shengjia Zhao, Stefano Ermon:
Localized Calibration: Metrics and Recalibration. CoRR abs/2102.10809 (2021) - [i119]Chen Wang, Rui Wang, Danfei Xu, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese:
Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control. CoRR abs/2103.00375 (2021) - [i118]Cat P. Le, Mohammadreza Soltani, Robert J. Ravier, Trevor Standley, Silvio Savarese, Vahid Tarokh:
Neural Architecture Search From Fréchet Task Distance. CoRR abs/2103.12827 (2021) - [i117]Arthur Allshire, Roberto Martín-Martín, Charles Lin, Shawn Manuel, Silvio Savarese, Animesh Garg:
LASER: Learning a Latent Action Space for Efficient Reinforcement Learning. CoRR abs/2103.15793 (2021) - [i116]Vida Adeli, Mahsa Ehsanpour, Ian D. Reid, Juan Carlos Niebles, Silvio Savarese, Ehsan Adeli, Hamid Rezatofighi:
TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild. CoRR abs/2104.04029 (2021) - [i115]Mahsa Ehsanpour, Fatemeh Sadat Saleh, Silvio Savarese, Ian D. Reid, Hamid Rezatofighi:
JRDB-Act: A Large-scale Multi-modal Dataset for Spatio-temporal Action, Social Group and Activity Detection. CoRR abs/2106.08827 (2021) - [i114]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Discovering Generalizable Skills via Automated Generation of Diverse Tasks. CoRR abs/2106.13935 (2021) - [i113]Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese:
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks. CoRR abs/2108.03272 (2021) - [i112]Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín:
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation. CoRR abs/2108.03298 (2021) - [i111]Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei:
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments. CoRR abs/2108.03332 (2021) - [i110]Chen Wang, Claudia Pérez-D'Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese:
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration. CoRR abs/2108.06038 (2021) - [i109]Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn:
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation. CoRR abs/2109.01115 (2021) - [i108]Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang:
Merlion: A Machine Learning Library for Time Series. CoRR abs/2109.09265 (2021) - [i107]Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone:
Sample-Efficient Safety Assurances using Conformal Prediction. CoRR abs/2109.14082 (2021) - [i106]Josiah Wong, Albert Tung, Andrey Kurenkov, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Roberto Martín-Martín:
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation. CoRR abs/2112.05251 (2021) - 2020
- [j25]Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese:
Learning task-oriented grasping for tool manipulation from simulated self-supervision. Int. J. Robotics Res. 39(2-3) (2020) - [j24]Mason Swofford, John Peruzzi, Nathan Tsoi, Sydney Thompson, Roberto Martín-Martín, Silvio Savarese, Marynel Vázquez:
Improving Social Awareness Through DANTE: Deep Affinity Network for Clustering Conversational Interactants. Proc. ACM Hum. Comput. Interact. 4(CSCW): 020:1-020:23 (2020) - [j23]Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese:
Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments. IEEE Robotics Autom. Lett. 5(2): 713-720 (2020) - [j22]Michelle A. Lee, Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg:
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks. IEEE Trans. Robotics 36(3): 582-596 (2020) - [c167]Bryan Chen, Alexander Sax, Francis Lewis, Iro Armeni, Silvio Savarese, Amir Zamir, Jitendra Malik, Lerrel Pinto:
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation. CoRL 2020: 2328-2346 - [c166]JunYoung Gwak, Christopher B. Choy, Silvio Savarese:
Generative Sparse Detection Networks for 3D Single-Shot Object Detection. ECCV (4) 2020: 297-313 - [c165]Suraj Nair, Silvio Savarese, Chelsea Finn:
Goal-Aware Prediction: Learning to Model What Matters. ICML 2020: 7207-7219 - [c164]Trevor Standley, Amir Zamir, Dawn Chen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Which Tasks Should Be Learned Together in Multi-task Learning? ICML 2020: 9120-9132 - [c163]Ajay Mandlekar, Fabio Ramos, Byron Boots, Silvio Savarese, Li Fei-Fei, Animesh Garg, Dieter Fox:
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. ICRA 2020: 4414-4420 - [c162]Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
KETO: Learning Keypoint Representations for Tool Manipulation. ICRA 2020: 7278-7285 - [c161]Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu:
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints. ICRA 2020: 10059-10066 - [c160]Andrey Kurenkov, Joseph Taglic, Rohun Kulkarni, Marcus Dominguez-Kuhne, Animesh Garg, Roberto Martín-Martín, Silvio Savarese:
Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter. IROS 2020: 8408-8414 - [c159]Kevin Chen, Marynel Vázquez, Silvio Savarese:
Localizing Against Drawn Maps via Spline-Based Registration. IROS 2020: 8521-8526 - [c158]Abhijeet Shenoi, Mihir Patel, JunYoung Gwak, Patrick Goebel, Amir Sadeghian, Hamid Rezatofighi, Roberto Martín-Martín, Silvio Savarese:
JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset. IROS 2020: 10335-10342 - [c157]Michelle A. Lee, Brent Yi, Roberto Martín-Martín, Silvio Savarese, Jeannette Bohg:
Multimodal Sensor Fusion with Differentiable Filters. IROS 2020: 10444-10451 - [c156]Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Silvio Savarese, Li Fei-Fei:
GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations. Robotics: Science and Systems 2020 - [p4]Pasquale Coscia, Lamberto Ballan, Francesco A. N. Palmieri, Alexandre Alahi, Silvio Savarese:
Linear Artificial Forces for Human Dynamics in Complex Contexts. Neural Approaches to Dynamics of Signal Exchanges 2020: 21-33 - [i105]Abhijeet Shenoi, Mihir Patel, JunYoung Gwak, Patrick Goebel, Amir Sadeghian, Hamid Rezatofighi, Roberto Martin Martin, Silvio Savarese:
JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset. CoRR abs/2002.08397 (2020) - [i104]Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Silvio Savarese, Li Fei-Fei:
Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations. CoRR abs/2003.06085 (2020) - [i103]Noriaki Hirose, Shun Taguchi, Fei Xia, Roberto Martín-Martín, Yasumasa Tahara, Masanori Ishigaki, Silvio Savarese:
Probabilistic Visual Navigation with Bidirectional Image Prediction. CoRR abs/2003.09224 (2020) - [i102]JunYoung Gwak, Christopher B. Choy, Silvio Savarese:
Generative Sparse Detection Networks for 3D Single-shot Object Detection. CoRR abs/2006.12356 (2020) - [i101]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Adaptive Procedural Task Generation for Hard-Exploration Problems. CoRR abs/2007.00350 (2020) - [i100]Suraj Nair, Silvio Savarese, Chelsea Finn:
Goal-Aware Prediction: Learning to Model What Matters. CoRR abs/2007.07170 (2020) - [i99]Hamid Rezatofighi, Tran Thien Dat Nguyen, Ba-Ngu Vo, Ba-Tuong Vo, Silvio Savarese, Ian D. Reid:
How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks? CoRR abs/2008.03533 (2020) - [i98]Andrey Kurenkov, Joseph Taglic, Rohun Kulkarni, Marcus Dominguez-Kuhne, Animesh Garg, Roberto Martín-Martín, Silvio Savarese:
Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter. CoRR abs/2008.06073 (2020) - [i97]Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese:
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation. CoRR abs/2008.07792 (2020) - [i96]Rachel Luo, Shengjia Zhao, Jiaming Song, Jonathan Kuck, Stefano Ermon, Silvio Savarese:
Privacy Preserving Recalibration under Domain Shift. CoRR abs/2008.09643 (2020) - [i95]Claudia Pérez-D'Arpino, Can Liu, Patrick Goebel, Roberto Martín-Martín, Silvio Savarese:
Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning. CoRR abs/2010.08600 (2020) - [i94]Michelle A. Lee, Brent Yi, Roberto Martín-Martín, Silvio Savarese, Jeannette Bohg:
Multimodal Sensor Fusion with Differentiable Filters. CoRR abs/2010.13021 (2020) - [i93]Bryan Chen, Alexander Sax, Gene Lewis, Iro Armeni, Silvio Savarese, Amir Zamir, Jitendra Malik, Lerrel Pinto:
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation. CoRR abs/2011.06698 (2020) - [i92]Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Deep Affordance Foresight: Planning Through What Can Be Done in the Future. CoRR abs/2011.08424 (2020) - [i91]Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Shyamal Buch, Claudia D'Arpino, Sanjana Srivastava, Lyne P. Tchapmi, Micael E. Tchapmi, Kent Vainio, Li Fei-Fei, Silvio Savarese:
iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes. CoRR abs/2012.02924 (2020) - [i90]Andrey Kurenkov, Roberto Martín-Martín, Jeffrey Ichnowski, Ken Goldberg, Silvio Savarese:
Semantic and Geometric Modeling with Neural Message Passing in 3D Scene Graphs for Hierarchical Mechanical Search. CoRR abs/2012.04060 (2020) - [i89]Kevin Chen, Junshen K. Chen, Jo Chuang, Marynel Vázquez, Silvio Savarese:
Topological Planning with Transformers for Vision-and-Language Navigation. CoRR abs/2012.05292 (2020) - [i88]Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
Human-in-the-Loop Imitation Learning using Remote Teleoperation. CoRR abs/2012.06733 (2020) - [i87]Albert Tung, Josiah Wong, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
Learning Multi-Arm Manipulation Through Collaborative Teleoperation. CoRR abs/2012.06738 (2020)
2010 – 2019
- 2019
- [j21]Noriaki Hirose, Amir Sadeghian, Fei Xia, Roberto Martín-Martín, Silvio Savarese:
VUNet: Dynamic Scene View Synthesis for Traversability Estimation Using an RGB Camera. IEEE Robotics Autom. Lett. 4(2): 2062-2069 (2019) - [j20]Noriaki Hirose, Fei Xia, Roberto Martín-Martín, Amir Sadeghian, Silvio Savarese:
Deep Visual MPC-Policy Learning for Navigation. IEEE Robotics Autom. Lett. 4(4): 3184-3191 (2019) - [c155]Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation. CoRL 2019: 42-52 - [c154]Chengshu Li, Fei Xia, Roberto Martín-Martín, Silvio Savarese:
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators. CoRL 2019: 603-616 - [c153]Andrey Kurenkov, Ajay Mandlekar, Roberto Martin Martin, Silvio Savarese, Animesh Garg:
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers. CoRL 2019: 717-734 - [c152]Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Zamir, Silvio Savarese, Leonidas J. Guibas, Jitendra Malik:
Learning to Navigate Using Mid-Level Visual Priors. CoRL 2019: 791-812 - [c151]Lyne P. Tchapmi, Vineet Kosaraju, Hamid Rezatofighi, Ian D. Reid, Silvio Savarese:
TopNet: Structural Point Cloud Decoder. CVPR 2019: 383-392 - [c150]Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese:
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. CVPR 2019: 538-547 - [c149]Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian D. Reid, Silvio Savarese:
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression. CVPR 2019: 658-666 - [c148]Amir Sadeghian, Vineet Kosaraju, Ali Sadeghian, Noriaki Hirose, Hamid Rezatofighi, Silvio Savarese:
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints. CVPR 2019: 1349-1358 - [c147]Christopher B. Choy, JunYoung Gwak, Silvio Savarese:
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks. CVPR 2019: 3075-3084 - [c146]Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martin Martin, Cewu Lu, Li Fei-Fei, Silvio Savarese:
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion. CVPR 2019: 3343-3352 - [c145]De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles:
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration. CVPR 2019: 8565-8574 - [c144]Brandon Oselio, Alfred O. Hero III, Amir Sadeghian, Silvio Savarese:
Time-Varying Interaction Estimation Using Ensemble Methods. DSW 2019: 69-75 - [c143]William B. Shen, Danfei Xu, Yuke Zhu, Li Fei-Fei, Leonidas J. Guibas, Silvio Savarese:
Situational Fusion of Visual Representation for Visual Navigation. ICCV 2019: 2881-2890 - [c142]Iro Armeni, Zhi-Yang He, Amir Zamir, JunYoung Gwak, Jitendra Malik, Martin Fischer, Silvio Savarese:
3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera. ICCV 2019: 5663-5672 - [c141]Michael Danielczuk, Andrey Kurenkov, Ashwin Balakrishna, Matthew Matl, David Wang, Roberto Martín-Martín, Animesh Garg, Silvio Savarese, Ken Goldberg:
Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter. ICRA 2019: 1614-1621 - [c140]Ashwini Pokle, Roberto Martín-Martín, Patrick Goebel, Vincent Chow, Hans M. Ewald, Junwei Yang, Zhenkai Wang, Amir Sadeghian, Dorsa Sadigh, Silvio Savarese, Marynel Vázquez:
Deep Local Trajectory Replanning and Control for Robot Navigation. ICRA 2019: 5815-5822 - [c139]Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg:
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks. ICRA 2019: 8943-8950 - [c138]Amir Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Taskonomy: Disentangling Task Transfer Learning. IJCAI 2019: 6241-6245 - [c137]Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner, Silvio Savarese, Jeannette Bohg, Animesh Garg:
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks. IROS 2019: 1010-1017 - [c136]Ajay Mandlekar, Jonathan Booher, Max Spero, Albert Tung, Anchit Gupta, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. IROS 2019: 1048-1055 - [c135]De-An Huang, Danfei Xu, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei, Juan Carlos Niebles:
Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning. IROS 2019: 2635-2642 - [c134]John Emmons, Sadjad Fouladi, Ganesh Ananthanarayanan, Shivaram Venkataraman, Silvio Savarese, Keith Winstein:
Cracking open the DNN black-box: Video Analytics with DNNs across the Camera-Cloud Boundary. HotEdgeVideo@MobiCom 2019: 27-32 - [c133]Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín, Ian D. Reid, Hamid Rezatofighi, Silvio Savarese:
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks. NeurIPS 2019: 137-146 - [c132]Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Regression Planning Networks. NeurIPS 2019: 1317-1327 - [c131]Kevin Chen, Juan Pablo de Vicente, Gabriel Sepulveda, Fei Xia, Alvaro Soto, Marynel Vázquez, Silvio Savarese:
A Behavioral Approach to Visual Navigation with Graph Localization Networks. Robotics: Science and Systems 2019 - [i86]Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, Silvio Savarese:
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion. CoRR abs/1901.04780 (2019) - [i85]Seyed Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian D. Reid, Silvio Savarese:
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression. CoRR abs/1902.09630 (2019) - [i84]Kevin Chen, Juan Pablo de Vicente, Gabriel Sepulveda, Fei Xia, Alvaro Soto, Marynel Vázquez, Silvio Savarese:
A Behavioral Approach to Visual Navigation with Graph Localization Networks. CoRR abs/1903.00445 (2019) - [i83]Michael Danielczuk, Andrey Kurenkov, Ashwin Balakrishna, Matthew Matl, David Wang, Roberto Martín-Martín, Animesh Garg, Silvio Savarese, Ken Goldberg:
Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter. CoRR abs/1903.01588 (2019) - [i82]Noriaki Hirose, Fei Xia, Roberto Martín-Martín, Amir Sadeghian, Silvio Savarese:
Deep Visual MPC-Policy Learning for Navigation. CoRR abs/1903.02749 (2019) - [i81]Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese:
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. CoRR abs/1903.03878 (2019) - [i80]Jingfan Wang, Lyne P. Tchapmi, Arvind P. Ravikumar, Mike McGuire, Clay S. Bell, Daniel Zimmerle, Silvio Savarese, Adam R. Brandt:
Machine Vision for Natural Gas Methane Emissions Detection Using an Infrared Camera. CoRR abs/1904.08500 (2019) - [i79]Christopher B. Choy, JunYoung Gwak, Silvio Savarese:
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks. CoRR abs/1904.08755 (2019) - [i78]Ashwini Pokle, Roberto Martín-Martín, Patrick Goebel, Vincent Chow, Hans M. Ewald, Junwei Yang, Zhenkai Wang, Amir Sadeghian, Dorsa Sadigh, Silvio Savarese, Marynel Vázquez:
Deep Local Trajectory Replanning and Control for Robot Navigation. CoRR abs/1905.05279 (2019) - [i77]Trevor Standley, Amir Zamir, Dawn Chen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Which Tasks Should Be Learned Together in Multi-task Learning? CoRR abs/1905.07553 (2019) - [i76]Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner, Silvio Savarese, Jeannette Bohg, Animesh Garg:
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks. CoRR abs/1906.08880 (2019) - [i75]Brandon Oselio, Amir Sadeghian, Silvio Savarese, Alfred O. Hero III:
Time-Varying Interaction Estimation Using Ensemble Methods. CoRR abs/1906.10746 (2019) - [i74]Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín, Ian D. Reid, Seyed Hamid Rezatofighi, Silvio Savarese:
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks. CoRR abs/1907.03395 (2019) - [i73]Mason Swofford, John Charles Peruzzi, Marynel Vázquez, Roberto Martín-Martín, Silvio Savarese:
DANTE: Deep Affinity Network for Clustering Conversational Interactants. CoRR abs/1907.12910 (2019) - [i72]Michelle A. Lee, Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg:
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks. CoRR abs/1907.13098 (2019) - [i71]De-An Huang, Danfei Xu, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei, Juan Carlos Niebles:
Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning. CoRR abs/1908.06769 (2019) - [i70]William B. Shen, Danfei Xu, Yuke Zhu, Leonidas J. Guibas, Li Fei-Fei, Silvio Savarese:
Situational Fusion of Visual Representation for Visual Navigation. CoRR abs/1908.09073 (2019) - [i69]Andrey Kurenkov, Ajay Mandlekar, Roberto Martin Martin, Silvio Savarese, Animesh Garg:
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers. CoRR abs/1909.04121 (2019) - [i68]Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, Li Fei-Fei:
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning. CoRR abs/1909.12989 (2019) - [i67]Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Regression Planning Networks. CoRR abs/1909.13072 (2019) - [i66]Suraj Nair, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Causal Induction from Visual Observations for Goal Directed Tasks. CoRR abs/1910.01751 (2019) - [i65]Iro Armeni, Zhi-Yang He, JunYoung Gwak, Amir R. Zamir, Martin Fischer, Jitendra Malik, Silvio Savarese:
3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera. CoRR abs/1910.02527 (2019) - [i64]Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu:
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints. CoRR abs/1910.10750 (2019) - [i63]Chengshu Li, Fei Xia, Roberto Martin Martin, Silvio Savarese:
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators. CoRR abs/1910.11432 (2019) - [i62]Roberto Martín-Martín, Hamid Rezatofighi, Abhijeet Shenoi, Mihir Patel, JunYoung Gwak, Nathan Dass, Alan Federman, Patrick Goebel, Silvio Savarese:
JRDB: A Dataset and Benchmark for Visual Perception for Navigation in Human Environments. CoRR abs/1910.11792 (2019) - [i61]Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
KETO: Learning Keypoint Representations for Tool Manipulation. CoRR abs/1910.11977 (2019) - [i60]Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation. CoRR abs/1910.13395 (2019) - [i59]Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese:
Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments. CoRR abs/1910.14442 (2019) - [i58]David Golub, Roberto Martín-Martín, Ahmed El-Kishky, Silvio Savarese:
Leveraging Pretrained Image Classifiers for Language-Based Segmentation. CoRR abs/1911.00830 (2019) - [i57]Ajay Mandlekar, Jonathan Booher, Max Spero, Albert Tung, Anchit Gupta, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity. CoRR abs/1911.04052 (2019) - [i56]Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Zamir, Silvio Savarese, Leonidas J. Guibas, Jitendra Malik:
Learning to Navigate Using Mid-Level Visual Priors. CoRR abs/1912.11121 (2019) - 2018
- [j19]Pasquale Coscia, Francesco Castaldo, Francesco A. N. Palmieri, Alexandre Alahi, Silvio Savarese, Lamberto Ballan:
Long-term path prediction in urban scenarios using circular distributions. Image Vis. Comput. 69: 81-91 (2018) - [j18]Chenxia Wu, Jiemi Zhang, Ozan Sener, Bart Selman, Silvio Savarese, Ashutosh Saxena:
Watch-n-Patch: Unsupervised Learning of Actions and Relations. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 467-481 (2018) - [c130]Kevin Chen, Christopher B. Choy, Manolis Savva, Angel X. Chang, Thomas A. Funkhouser, Silvio Savarese:
Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings. ACCV (3) 2018: 100-116 - [c129]Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, Li Fei-Fei:
SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark. CoRL 2018: 767-782 - [c128]Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, Silvio Savarese, Li Fei-Fei:
ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation. CoRL 2018: 879-893 - [c127]Kuan Fang, Te-Lin Wu, Daniel Yang, Silvio Savarese, Joseph J. Lim:
Demo2Vec: Reasoning Object Affordances From Online Videos. CVPR 2018: 2139-2147 - [c126]Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi:
Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks. CVPR 2018: 2255-2264 - [c125]Amir R. Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Taskonomy: Disentangling Task Transfer Learning. CVPR 2018: 3712-3722 - [c124]Shuran Song, Andy Zeng, Angel X. Chang, Manolis Savva, Silvio Savarese, Thomas A. Funkhouser:
Im2Pano3D: Extrapolating 360° Structure and Semantics Beyond the Field of View. CVPR 2018: 3847-3856 - [c123]Riccardo Volpi, Pietro Morerio, Silvio Savarese, Vittorio Murino:
Adversarial Feature Augmentation for Unsupervised Domain Adaptation. CVPR 2018: 5495-5504 - [c122]John Lambert, Ozan Sener, Silvio Savarese:
Deep Learning Under Privileged Information Using Heteroscedastic Dropout. CVPR 2018: 8886-8895 - [c121]Fei Xia, Amir R. Zamir, Zhi-Yang He, Alexander Sax, Jitendra Malik, Silvio Savarese:
Gibson Env: Real-World Perception for Embodied Agents. CVPR 2018: 9068-9079 - [c120]Amir Sadeghian, Ferdinand Legros, Maxime Voisin, Ricky Vesel, Alexandre Alahi, Silvio Savarese:
CAR-Net: Clairvoyant Attentive Recurrent Network. ECCV (11) 2018: 162-180 - [c119]Xiaoxue Zang, Ashwini Pokle, Marynel Vázquez, Kevin Chen, Juan Carlos Niebles, Alvaro Soto, Silvio Savarese:
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation. EMNLP 2018: 2657-2666 - [c118]Xiaoxue Zang, Marynel Vázquez, Juan Carlos Niebles, Alvaro Soto, Silvio Savarese:
Behavioral Indoor Navigation With Natural Language Directions. HRI (Companion) 2018: 283-284 - [c117]Ozan Sener, Silvio Savarese:
Active Learning for Convolutional Neural Networks: A Core-Set Approach. ICLR (Poster) 2018 - [c116]Danfei Xu, Suraj Nair, Yuke Zhu, Julian Gao, Animesh Garg, Li Fei-Fei, Silvio Savarese:
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks. ICRA 2018: 1-8 - [c115]Kuan Fang, Yunfei Bai, Stefan Hinterstoisser, Silvio Savarese, Mrinal Kalakrishnan:
Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation. ICRA 2018: 3516-3523 - [c114]Noriaki Hirose, Amir Sadeghian, Marynel Vázquez, Patrick Goebel, Silvio Savarese:
GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation. IROS 2018: 3044-3051 - [c113]Riccardo Volpi, Hongseok Namkoong, Ozan Sener, John C. Duchi, Vittorio Murino, Silvio Savarese:
Generalizing to Unseen Domains via Adversarial Data Augmentation. NeurIPS 2018: 5339-5349 - [c112]Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese:
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision. Robotics: Science and Systems 2018 - [c111]Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese:
Recurrent Autoregressive Networks for Online Multi-object Tracking. WACV 2018: 466-475 - [c110]Andrey Kurenkov, Jingwei Ji, Animesh Garg, Viraj Mehta, JunYoung Gwak, Christopher B. Choy, Silvio Savarese:
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image. WACV 2018: 858-866 - [i55]Noriaki Hirose, Amir Sadeghian, Marynel Vázquez, Patrick Goebel, Silvio Savarese:
GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation. CoRR abs/1803.03254 (2018) - [i54]Kevin Chen, Christopher B. Choy, Manolis Savva, Angel X. Chang, Thomas A. Funkhouser, Silvio Savarese:
Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings. CoRR abs/1803.08495 (2018) - [i53]Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi:
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks. CoRR abs/1803.10892 (2018) - [i52]Amir R. Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Taskonomy: Disentangling Task Transfer Learning. CoRR abs/1804.08328 (2018) - [i51]John Lambert, Ozan Sener, Silvio Savarese:
Deep Learning under Privileged Information Using Heteroscedastic Dropout. CoRR abs/1805.11614 (2018) - [i50]Riccardo Volpi, Hongseok Namkoong, Ozan Sener, John C. Duchi, Vittorio Murino, Silvio Savarese:
Generalizing to Unseen Domains via Adversarial Data Augmentation. CoRR abs/1805.12018 (2018) - [i49]Amir Sadeghian, Vineet Kosaraju, Ali Sadeghian, Noriaki Hirose, Silvio Savarese:
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints. CoRR abs/1806.01482 (2018) - [i48]Noriaki Hirose, Amir Sadeghian, Fei Xia, Silvio Savarese:
GONet++: Traversability Estimation via Dynamic Scene View Synthesis. CoRR abs/1806.08864 (2018) - [i47]Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese:
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision. CoRR abs/1806.09266 (2018) - [i46]De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles:
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration. CoRR abs/1807.03480 (2018) - [i45]Fei Xia, Amir R. Zamir, Zhi-Yang He, Alexander Sax, Jitendra Malik, Silvio Savarese:
Gibson Env: Real-World Perception for Embodied Agents. CoRR abs/1808.10654 (2018) - [i44]Xiaoxue Zang, Ashwini Pokle, Marynel Vázquez, Kevin Chen, Juan Carlos Niebles, Alvaro Soto, Silvio Savarese:
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation. CoRR abs/1810.00663 (2018) - [i43]Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg:
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks. CoRR abs/1810.10191 (2018) - [i42]Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, Silvio Savarese, Li Fei-Fei:
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation. CoRR abs/1811.02790 (2018) - [i41]Lin Sun, Kui Jia, Yuejia Shen, Silvio Savarese, Dit-Yan Yeung, Bertram E. Shi:
Coupled Recurrent Network (CRN). CoRR abs/1812.10071 (2018) - [i40]Alexander Sax, Bradley Emi, Amir Zamir, Leonidas J. Guibas, Silvio Savarese, Jitendra Malik:
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Active Tasks. CoRR abs/1812.11971 (2018) - 2017
- [c109]JunYoung Gwak, Christopher B. Choy, Manmohan Chandraker, Animesh Garg, Silvio Savarese:
Weakly Supervised 3D Reconstruction with Adversarial Constraint. 3DV 2017: 263-272 - [c108]Lyne P. Tchapmi, Christopher B. Choy, Iro Armeni, JunYoung Gwak, Silvio Savarese:
SEGCloud: Semantic Segmentation of 3D Point Clouds. 3DV 2017: 537-547 - [c107]Rachel Luo, Ozan Sener, Silvio Savarese:
Scene Semantic Reconstruction from Egocentric RGB-D-Thermal Videos. 3DV 2017: 593-602 - [c106]Trevor Standley, Ozan Sener, Dawn Chen, Silvio Savarese:
image2mass: Estimating the Mass of an Object from Its Image. CoRL 2017: 324-333 - [c105]Amir R. Zamir, Te-Lin Wu, Lin Sun, William B. Shen, Bertram E. Shi, Jitendra Malik, Silvio Savarese:
Feedback Networks. CVPR 2017: 1808-1817 - [c104]Timur M. Bagautdinov, Alexandre Alahi, François Fleuret, Pascal Fua, Silvio Savarese:
Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition. CVPR 2017: 3425-3434 - [c103]Dinghuang Ji, Junghyun Kwon, Max McFarland, Silvio Savarese:
Deep View Morphing. CVPR 2017: 7092-7100 - [c102]Amir Sadeghian, Alexandre Alahi, Silvio Savarese:
Tracking the Untrackable: Learning to Track Multiple Cues with Long-Term Dependencies. ICCV 2017: 300-311 - [c101]Lin Sun, Kui Jia, Kevin Chen, Dit-Yan Yeung, Bertram E. Shi, Silvio Savarese:
Lattice Long Short-Term Memory for Human Action Recognition. ICCV 2017: 2166-2175 - [c100]Alexandre Alahi, Judson Wilson, Li Fei-Fei, Silvio Savarese:
Unsupervised camera localization in crowded spaces. ICRA 2017: 2666-2673 - [c99]Ajay Mandlekar, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese:
Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations. IROS 2017: 3932-3939 - [c98]James Harrison, Animesh Garg, Boris Ivanovic, Yuke Zhu, Silvio Savarese, Li Fei-Fei, Marco Pavone:
AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems. ISRR 2017: 437-453 - [c97]Yu Xiang, Wongun Choi, Yuanqing Lin, Silvio Savarese:
Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection. WACV 2017: 924-933 - [p3]Vittorio Murino, Marco Cristani, Shishir Shah, Silvio Savarese:
The Group and Crowd Analysis Interdisciplinary Challenge. Group and Crowd Behavior for Computer Vision 2017: 1-11 - [p2]Alexandre Alahi, Vignesh Ramanathan, Kratarth Goel, Alexandre Robicquet, Amir A. Sadeghian, Li Fei-Fei, Silvio Savarese:
Learning to Predict Human Behavior in Crowded Scenes. Group and Crowd Behavior for Computer Vision 2017: 183-207 - [e1]Vittorio Murino, Marco Cristani, Shishir Shah, Silvio Savarese:
Group and Crowd Behavior for Computer Vision, 1st Edition. Academic Press 2017, ISBN 978-0-12-809276-7 [contents] - [i39]Amir Sadeghian, Alexandre Alahi, Silvio Savarese:
Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependencies. CoRR abs/1701.01909 (2017) - [i38]Iro Armeni, Sasha Sax, Amir R. Zamir, Silvio Savarese:
Joint 2D-3D-Semantic Data for Indoor Scene Understanding. CoRR abs/1702.01105 (2017) - [i37]Dinghuang Ji, Junghyun Kwon, Max McFarland, Silvio Savarese:
Deep View Morphing. CoRR abs/1703.02168 (2017) - [i36]JunYoung Gwak, Christopher B. Choy, Animesh Garg, Manmohan Chandraker, Silvio Savarese:
Weakly Supervised Generative Adversarial Networks for 3D Reconstruction. CoRR abs/1705.10904 (2017) - [i35]James Harrison, Animesh Garg, Boris Ivanovic, Yuke Zhu, Silvio Savarese, Li Fei-Fei, Marco Pavone:
ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems. CoRR abs/1707.04674 (2017) - [i34]Ozan Sener, Silvio Savarese:
A Geometric Approach to Active Learning for Convolutional Neural Networks. CoRR abs/1708.00489 (2017) - [i33]Lin Sun, Kui Jia, Kevin Chen, Dit-Yan Yeung, Bertram E. Shi, Silvio Savarese:
Lattice Long Short-Term Memory for Human Action Recognition. CoRR abs/1708.03958 (2017) - [i32]Andrey Kurenkov, Jingwei Ji, Animesh Garg, Viraj Mehta, JunYoung Gwak, Christopher B. Choy, Silvio Savarese:
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image. CoRR abs/1708.04672 (2017) - [i31]Noriaki Hirose, Amir Sadeghian, Patrick Goebel, Silvio Savarese:
To Go or Not To Go? A Near Unsupervised Learning Approach For Robot Navigation. CoRR abs/1709.05439 (2017) - [i30]Danfei Xu, Suraj Nair, Yuke Zhu, Julian Gao, Animesh Garg, Li Fei-Fei, Silvio Savarese:
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks. CoRR abs/1710.01813 (2017) - [i29]Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor S. Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P. Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Häne, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qixing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas A. Funkhouser, Hao Su, Leonidas J. Guibas:
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55. CoRR abs/1710.06104 (2017) - [i28]Lyne P. Tchapmi, Christopher B. Choy, Iro Armeni, JunYoung Gwak, Silvio Savarese:
SEGCloud: Semantic Segmentation of 3D Point Clouds. CoRR abs/1710.07563 (2017) - [i27]Amir R. Zamir, Tilman Wekel, Pulkit Agrawal, Colin Wei, Jitendra Malik, Silvio Savarese:
Generic 3D Representation via Pose Estimation and Matching. CoRR abs/1710.08247 (2017) - [i26]Kuan Fang, Yu Xiang, Silvio Savarese:
Recurrent Autoregressive Networks for Online Multi-Object Tracking. CoRR abs/1711.02741 (2017) - [i25]Riccardo Volpi, Pietro Morerio, Silvio Savarese, Vittorio Murino:
Adversarial Feature Augmentation for Unsupervised Domain Adaptation. CoRR abs/1711.08561 (2017) - [i24]Amir Sadeghian, Ferdinand Legros, Maxime Voisin, Ricky Vesel, Alexandre Alahi, Silvio Savarese:
CAR-Net: Clairvoyant Attentive Recurrent Network. CoRR abs/1711.10061 (2017) - [i23]Shuran Song, Andy Zeng, Angel X. Chang, Manolis Savva, Silvio Savarese, Thomas A. Funkhouser:
Im2Pano3D: Extrapolating 360 Structure and Semantics Beyond the Field of View. CoRR abs/1712.04569 (2017) - 2016
- [j17]David Held, Jesse Levinson, Sebastian Thrun, Silvio Savarese:
Robust real-time tracking combining 3D shape, color, and motion. Int. J. Robotics Res. 35(1-3): 30-49 (2016) - [c96]Saumitro Dasgupta, Kuan Fang, Kevin Chen, Silvio Savarese:
DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes. CVPR 2016: 616-624 - [c95]Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, Silvio Savarese:
Social LSTM: Human Trajectory Prediction in Crowded Spaces. CVPR 2016: 961-971 - [c94]Iro Armeni, Ozan Sener, Amir R. Zamir, Helen Jiang, Ioannis K. Brilakis, Martin Fischer, Silvio Savarese:
3D Semantic Parsing of Large-Scale Indoor Spaces. CVPR 2016: 1534-1543 - [c93]Hyun Oh Song, Yu Xiang, Stefanie Jegelka, Silvio Savarese:
Deep Metric Learning via Lifted Structured Feature Embedding. CVPR 2016: 4004-4012 - [c92]Ashesh Jain, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena:
Structural-RNN: Deep Learning on Spatio-Temporal Graphs. CVPR 2016: 5308-5317 - [c91]Carolina Redondo-Cabrera, Roberto Javier López-Sastre, Yu Xiang, Tinne Tuytelaars, Silvio Savarese:
Pose Estimation Errors, the Ultimate Diagnosis. ECCV (7) 2016: 118-134 - [c90]Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher B. Choy, Hao Su, Roozbeh Mottaghi, Leonidas J. Guibas, Silvio Savarese:
ObjectNet3D: A Large Scale Database for 3D Object Recognition. ECCV (8) 2016: 160-176 - [c89]Amir R. Zamir, Tilman Wekel, Pulkit Agrawal, Colin Wei, Jitendra Malik, Silvio Savarese:
Generic 3D Representation via Pose Estimation and Matching. ECCV (3) 2016: 535-553 - [c88]Alexandre Robicquet, Amir Sadeghian, Alexandre Alahi, Silvio Savarese:
Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes. ECCV (8) 2016: 549-565 - [c87]Christopher B. Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, Silvio Savarese:
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction. ECCV (8) 2016: 628-644 - [c86]Lamberto Ballan, Francesco Castaldo, Alexandre Alahi, Francesco Palmieri, Silvio Savarese:
Knowledge Transfer for Scene-Specific Motion Prediction. ECCV (1) 2016: 697-713 - [c85]David Held, Sebastian Thrun, Silvio Savarese:
Learning to Track at 100 FPS with Deep Regression Networks. ECCV (1) 2016: 749-765 - [c84]Pasquale Coscia, Francesco Castaldo, Francesco A. N. Palmieri, Lamberto Ballan, Alexandre Alahi, Silvio Savarese:
Point-based path prediction from polar histograms. FUSION 2016: 1961-1967 - [c83]David Held, Sebastian Thrun, Silvio Savarese:
Robust single-view instance recognition. ICRA 2016: 2152-2159 - [c82]Chenxia Wu, Jiemi Zhang, Bart Selman, Silvio Savarese, Ashutosh Saxena:
Watch-Bot: Unsupervised learning for reminding humans of forgotten actions. ICRA 2016: 2479-2486 - [c81]Ozan Sener, Hyun Oh Song, Ashutosh Saxena, Silvio Savarese:
Learning Transferrable Representations for Unsupervised Domain Adaptation. NIPS 2016: 2110-2118 - [c80]Christopher B. Choy, JunYoung Gwak, Silvio Savarese, Manmohan Krishna Chandraker:
Universal Correspondence Network. NIPS 2016: 2406-2414 - [c79]David Held, Devin Guillory, Brice Rebsamen, Sebastian Thrun, Silvio Savarese:
A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues. Robotics: Science and Systems 2016 - [i22]Alexandre Robicquet, Alexandre Alahi, Amir Sadeghian, Bryan Anenberg, John Doherty, Eli Wu, Silvio Savarese:
Forecasting Social Navigation in Crowded Complex Scenes. CoRR abs/1601.00998 (2016) - [i21]Ozan Sener, Hyun Oh Song, Ashutosh Saxena, Silvio Savarese:
Unsupervised Transductive Domain Adaptation. CoRR abs/1602.03534 (2016) - [i20]Chenxia Wu, Jiemi Zhang, Ozan Sener, Bart Selman, Silvio Savarese, Ashutosh Saxena:
Watch-n-Patch: Unsupervised Learning of Actions and Relations. CoRR abs/1603.03541 (2016) - [i19]Lamberto Ballan, Francesco Castaldo, Alexandre Alahi, Francesco Palmieri, Silvio Savarese:
Knowledge Transfer for Scene-specific Motion Prediction. CoRR abs/1603.06987 (2016) - [i18]Christopher B. Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, Silvio Savarese:
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction. CoRR abs/1604.00449 (2016) - [i17]David Held, Sebastian Thrun, Silvio Savarese:
Learning to Track at 100 FPS with Deep Regression Networks. CoRR abs/1604.01802 (2016) - [i16]Yu Xiang, Wongun Choi, Yuanqing Lin, Silvio Savarese:
Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection. CoRR abs/1604.04693 (2016) - [i15]Ozan Sener, Amir Roshan Zamir, Chenxia Wu, Silvio Savarese, Ashutosh Saxena:
Unsupervised Semantic Action Discovery from Video Collections. CoRR abs/1605.03324 (2016) - [i14]Christopher B. Choy, JunYoung Gwak, Silvio Savarese, Manmohan Chandraker:
Universal Correspondence Network. CoRR abs/1606.03558 (2016) - [i13]Chenxia Wu, Jiemi Zhang, Ashutosh Saxena, Silvio Savarese:
Human Centred Object Co-Segmentation. CoRR abs/1606.03774 (2016) - [i12]Timur M. Bagautdinov, Alexandre Alahi, François Fleuret, Pascal Fua, Silvio Savarese:
Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition. CoRR abs/1611.09078 (2016) - [i11]Amir R. Zamir, Te-Lin Wu, Lin Sun, William B. Shen, Jitendra Malik, Silvio Savarese:
Feedback Networks. CoRR abs/1612.09508 (2016) - 2015
- [j16]Wongun Choi, Yu-Wei Chao, Caroline Pantofaru, Silvio Savarese:
Indoor Scene Understanding with Geometric and Semantic Contexts. Int. J. Comput. Vis. 112(2): 204-220 (2015) - [j15]Mani Golparvar Fard, Feniosky Peña-Mora, Silvio Savarese:
Automated Progress Monitoring Using Unordered Daily Construction Photographs and IFC-Based Building Information Models. J. Comput. Civ. Eng. 29(1) (2015) - [j14]Gaurav Pandey, James R. McBride, Silvio Savarese, Ryan M. Eustice:
Automatic Extrinsic Calibration of Vision and Lidar by Maximizing Mutual Information. J. Field Robotics 32(5): 696-722 (2015) - [c78]Roozbeh Mottaghi, Yu Xiang, Silvio Savarese:
A coarse-to-fine model for 3D pose estimation and sub-category recognition. CVPR 2015: 418-426 - [c77]Yu Xiang, Wongun Choi, Yuanqing Lin, Silvio Savarese:
Data-driven 3D Voxel Patterns for object category recognition. CVPR 2015: 1903-1911 - [c76]Christopher Bongsoo Choy, Michael Stark, Sam Corbett-Davies, Silvio Savarese:
Enriching object detection with 2D-3D registration and continuous viewpoint estimation. CVPR 2015: 2512-2520 - [c75]Chenxia Wu, Jiemi Zhang, Silvio Savarese, Ashutosh Saxena:
Watch-n-patch: Unsupervised understanding of actions and relations. CVPR 2015: 4362-4370 - [c74]Ozan Sener, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena:
Unsupervised Semantic Parsing of Video Collections. ICCV 2015: 4480-4488 - [c73]Tian Lan, Yuke Zhu, Amir Roshan Zamir, Silvio Savarese:
Action Recognition by Hierarchical Mid-Level Action Elements. ICCV 2015: 4552-4560 - [c72]Yu Xiang, Alexandre Alahi, Silvio Savarese:
Learning to Track: Online Multi-object Tracking by Decision Making. ICCV 2015: 4705-4713 - [c71]Francesco Castaldo, Amir Zamir, Roland Angst, Francesco Palmieri, Silvio Savarese:
Semantic Cross-View Matching. ICCV Workshops 2015: 1044-1052 - [i10]Roozbeh Mottaghi, Yu Xiang, Silvio Savarese:
A Coarse-to-Fine Model for 3D Pose Estimation and Sub-category Recognition. CoRR abs/1504.02764 (2015) - [i9]Ozan Sener, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena:
Unsupervised Semantic Parsing of Video Collections. CoRR abs/1506.08438 (2015) - [i8]David Held, Sebastian Thrun, Silvio Savarese:
Deep Learning for Single-View Instance Recognition. CoRR abs/1507.08286 (2015) - [i7]Tian Lan, Yuke Zhu, Amir Roshan Zamir, Silvio Savarese:
Action Recognition by Hierarchical Mid-level Action Elements. CoRR abs/1508.07654 (2015) - [i6]Francesco Castaldo, Amir Zamir, Roland Angst, Francesco Palmieri, Silvio Savarese:
Semantic Cross-View Matching. CoRR abs/1511.00098 (2015) - [i5]Ashesh Jain, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena:
Structural-RNN: Deep Learning on Spatio-Temporal Graphs. CoRR abs/1511.05298 (2015) - [i4]Hyun Oh Song, Yu Xiang, Stefanie Jegelka, Silvio Savarese:
Deep Metric Learning via Lifted Structured Feature Embedding. CoRR abs/1511.06452 (2015) - [i3]Angel X. Chang, Thomas A. Funkhouser, Leonidas J. Guibas, Pat Hanrahan, Qi-Xing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, Fisher Yu:
ShapeNet: An Information-Rich 3D Model Repository. CoRR abs/1512.03012 (2015) - [i2]Chenxia Wu, Jiemi Zhang, Bart Selman, Silvio Savarese, Ashutosh Saxena:
Watch-Bot: Unsupervised Learning for Reminding Humans of Forgotten Actions. CoRR abs/1512.04208 (2015) - 2014
- [j13]Wongun Choi, Silvio Savarese:
Understanding Collective Activitiesof People from Videos. IEEE Trans. Pattern Anal. Mach. Intell. 36(6): 1242-1257 (2014) - [j12]Min Sun, Byung-soo Kim, Pushmeet Kohli, Silvio Savarese:
Relating Things and Stuff via ObjectProperty Interactions. IEEE Trans. Pattern Anal. Mach. Intell. 36(7): 1370-1383 (2014) - [c70]Laura Leal-Taixé, Michele Fenzi, Alina Kuznetsova, Bodo Rosenhahn, Silvio Savarese:
Learning an Image-Based Motion Context for Multiple People Tracking. CVPR 2014: 3542-3549 - [c69]Yu Xiang, Changkyu Song, Roozbeh Mottaghi, Silvio Savarese:
Monocular Multiview Object Tracking with 3D Aspect Parts. ECCV (6) 2014: 220-235 - [c68]Wongun Choi, Yu-Wei Chao, Caroline Pantofaru, Silvio Savarese:
Discovering Groups of People in Images. ECCV (4) 2014: 417-433 - [c67]Tian Lan, Tsung-Chuan Chen, Silvio Savarese:
A Hierarchical Representation for Future Action Prediction. ECCV (3) 2014: 689-704 - [c66]Roni Mittelman, Benjamin Kuipers, Silvio Savarese, Honglak Lee:
Structured Recurrent Temporal Restricted Boltzmann Machines. ICML 2014: 1647-1655 - [c65]Gaurav Pandey, James R. McBride, Silvio Savarese, Ryan M. Eustice:
Toward mutual information based place recognition. ICRA 2014: 3185-3192 - [c64]David Held, Jesse Levinson, Sebastian Thrun, Silvio Savarese:
Combining 3D Shape, Color, and Motion for Robust Anytime Tracking. Robotics: Science and Systems 2014 - [c63]Yu Xiang, Roozbeh Mottaghi, Silvio Savarese:
Beyond PASCAL: A benchmark for 3D object detection in the wild. WACV 2014: 75-82 - [c62]Sid Ying-Ze Bao, Axel Furlan, Li Fei-Fei, Silvio Savarese:
Understanding the 3D layout of a cluttered room from multiple images. WACV 2014: 690-697 - [r2]Min Sun, Silvio Savarese:
Model-Based Object Recognition. Computer Vision, A Reference Guide 2014: 488-492 - [r1]Silvio Savarese:
Shape from Specularities. Computer Vision, A Reference Guide 2014: 726-729 - [i1]Xu Chen, Alfred O. Hero III, Silvio Savarese:
Shrinkage Optimized Directed Information using Pictorial Structures for Action Recognition. CoRR abs/1404.3312 (2014) - 2013
- [j11]Min Sun, Shyam Sunder Kumar, Gary R. Bradski, Silvio Savarese:
Object detection, shape recovery, and 3D modelling by depth-encoded hough voting. Comput. Vis. Image Underst. 117(9): 1190-1202 (2013) - [j10]Byung-soo Kim, Jae Young Park, Anna C. Gilbert, Silvio Savarese:
Hierarchical classification of images by sparse approximation. Image Vis. Comput. 31(12): 982-991 (2013) - [j9]Wongun Choi, Caroline Pantofaru, Silvio Savarese:
A General Framework for Tracking Multiple People from a Moving Camera. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1577-1591 (2013) - [c61]Axel Furlan, Stephen D. Miller, Domenico G. Sorrenti, Li Fei-Fei, Silvio Savarese:
Free your Camera: 3D Indoor Scene Understanding from Arbitrary Camera Motion. BMVC 2013 - [c60]Jason Clemons, Andrea Pellegrini, Silvio Savarese, Todd M. Austin:
EVA: An efficient vision architecture for mobile systems. CASES 2013: 13:1-13:10 - [c59]Wongun Choi, Yu-Wei Chao, Caroline Pantofaru, Silvio Savarese:
Understanding Indoor Scenes Using 3D Geometric Phrases. CVPR 2013: 33-40 - [c58]Roni Mittelman, Honglak Lee, Benjamin Kuipers, Silvio Savarese:
Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines. CVPR 2013: 476-483 - [c57]Sid Ying-Ze Bao, Manmohan Chandraker, Yuanqing Lin, Silvio Savarese:
Dense Object Reconstruction with Semantic Priors. CVPR 2013: 1264-1271 - [c56]Byung-soo Kim, Shili Xu, Silvio Savarese:
Accurate Localization of 3D Objects from RGB-D Data Using Segmentation Hypotheses. CVPR 2013: 3182-3189 - [c55]Min Sun, Wan Huang, Silvio Savarese:
Find the Best Path: An Efficient and Accurate Classifier for Image Hierarchies. ICCV 2013: 265-272 - [c54]Byung-soo Kim, Pushmeet Kohli, Silvio Savarese:
3D Scene Understanding by Voxel-CRF. ICCV 2013: 1425-1432 - [c53]Ryan Tokola, Wongun Choi, Silvio Savarese:
Breaking the Chain: Liberation from the Temporal Markov Assumption for Tracking Human Poses. ICCV 2013: 2424-2431 - [c52]Yu Xiang, Silvio Savarese:
Object Detection by 3D Aspectlets and Occlusion Reasoning. ICCV Workshops 2013: 530-537 - [c51]Yu-Wei Chao, Wongun Choi, Caroline Pantofaru, Silvio Savarese:
Layout Estimation of Highly Cluttered Indoor Scenes Using Geometric and Semantic Cues. ICIAP (2) 2013: 489-499 - [c50]Giorgio Gemignani, Wongun Choi, Alessio Ferone, Alfredo Petrosino, Silvio Savarese:
A Bayesian Approach to Tracking Learning Detection. ICIAP (1) 2013: 803-812 - [c49]Valeria Garro, Andrea Fusiello, Silvio Savarese:
Label transfer exploiting three-dimensional structure for semantic segmentation. MIRAGE 2013: 16:1-16:7 - 2012
- [j8]Min Sun, Sid Ying-Ze Bao, Silvio Savarese:
Object Detection using Geometrical Context Feedback. Int. J. Comput. Vis. 100(2): 154-169 (2012) - [j7]Xu Chen, Alfred O. Hero III, Silvio Savarese:
Multimodal Video Indexing and Retrieval Using Directed Information. IEEE Trans. Multim. 14(1): 3-16 (2012) - [c48]Gaurav Pandey, James R. McBride, Silvio Savarese, Ryan M. Eustice:
Automatic Targetless Extrinsic Calibration of a 3D Lidar and Camera by Maximizing Mutual Information. AAAI 2012: 2053-2059 - [c47]Min Sun, Murali Telaprolu, Honglak Lee, Silvio Savarese:
An efficient branch-and-bound algorithm for optimal human pose estimation. CVPR 2012: 1616-1623 - [c46]Sid Ying-Ze Bao, Mohit Bagra, Yu-Wei Chao, Silvio Savarese:
Semantic structure from motion with points, regions, and objects. CVPR 2012: 2703-2710 - [c45]Shyam Sunder Kumar, Min Sun, Silvio Savarese:
Mobile object detection through client-server based vote transfer. CVPR 2012: 3290-3297 - [c44]Yu Xiang, Silvio Savarese:
Estimating the aspect layout of object categories. CVPR 2012: 3410-3417 - [c43]Sid Ying-Ze Bao, Yu Xiang, Silvio Savarese:
Object Co-detection. ECCV (1) 2012: 86-101 - [c42]Wongun Choi, Silvio Savarese:
A Unified Framework for Multi-target Tracking and Collective Activity Recognition. ECCV (4) 2012: 215-230 - [c41]Byung-soo Kim, Min Sun, Pushmeet Kohli, Silvio Savarese:
Relating Things and Stuff by High-Order Potential Modeling. ECCV Workshops (3) 2012: 293-304 - [c40]Jason Clemons, Sid Ying-Ze Bao, Silvio Savarese, Todd M. Austin, Vinay Sharma:
MVSS: Michigan Visual Sonification System. ESPA 2012: 143-146 - [c39]Gaurav Pandey, James R. McBride, Silvio Savarese, Ryan M. Eustice:
Toward mutual information based automatic registration of 3D point clouds. IROS 2012: 2698-2704 - [c38]Min Sun, Murali Telaprolu, Honglak Lee, Silvio Savarese:
Efficient and Exact MAP-MRF Inference using Branch and Bound. AISTATS 2012: 1134-1142 - 2011
- [b1]Derek Hoiem, Silvio Savarese:
Representations and Techniques for 3D Object Recognition and Scene Interpretation. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2011, ISBN 978-3-031-00429-2 - [j6]Sid Ying-Ze Bao, Min Sun, Silvio Savarese:
Toward coherent object detection and scene layout understanding. Image Vis. Comput. 29(9): 569-579 (2011) - [c37]Min Sun, Shyam Sunder Kumar, Gary R. Bradski, Silvio Savarese:
Toward Automatic 3D Generic Object Modeling from One Single Image. 3DIMPVT 2011: 9-16 - [c36]Byung-soo Kim, Jae Young Park, Anush Mohan, Anna C. Gilbert, Silvio Savarese:
Hierarchical Classification of Images by Sparse Approximation. BMVC 2011: 1-11 - [c35]Sid Ying-Ze Bao, Silvio Savarese:
Semantic structure from motion. CVPR 2011: 2025-2032 - [c34]Jingen Liu, Mubarak Shah, Benjamin Kuipers, Silvio Savarese:
Cross-view action recognition via view knowledge transfer. CVPR 2011: 3209-3216 - [c33]Wongun Choi, Khuram Shahid, Silvio Savarese:
Learning context for collective activity recognition. CVPR 2011: 3273-3280 - [c32]Jingen Liu, Benjamin Kuipers, Silvio Savarese:
Recognizing human actions by attributes. CVPR 2011: 3337-3344 - [c31]Jason Clemons, Andrew Jones, Robert Perricone, Silvio Savarese, Todd M. Austin:
EFFEX: an embedded processor for computer vision based feature extraction. DAC 2011: 1020-1025 - [c30]Min Sun, Silvio Savarese:
Articulated part-based model for joint object detection and pose estimation. ICCV 2011: 723-730 - [c29]Liang Mei, Jingen Liu, Alfred O. Hero III, Silvio Savarese:
Robust object pose estimation via statistical manifold modeling. ICCV 2011: 967-974 - [c28]Mani Golparvar Fard, Feniosky Peña-Mora, Silvio Savarese:
Monitoring changes of 3D building elements from unordered photo collections. ICCV Workshops 2011: 249-256 - [c27]Sid Ying-Ze Bao, Mohit Bagra, Silvio Savarese:
Semantic structure from motion with object and point interactions. ICCV Workshops 2011: 982-989 - [c26]Roberto Javier López-Sastre, Tinne Tuytelaars, Silvio Savarese:
Deformable part models revisited: A performance evaluation for object category pose estimation. ICCV Workshops 2011: 1052-1059 - [c25]Wongun Choi, Caroline Pantofaru, Silvio Savarese:
Detecting and tracking people using an RGB-D camera via multiple detector fusion. ICCV Workshops 2011: 1076-1083 - [c24]Gaurav Pandey, Silvio Savarese, James R. McBride, Ryan M. Eustice:
Visually bootstrapped generalized ICP. ICRA 2011: 2660-2667 - [c23]Jason Clemons, Haishan Zhu, Silvio Savarese, Todd M. Austin:
MEVBench: A mobile computer vision benchmarking suite. IISWC 2011: 91-102 - [c22]Sid Ying-Ze Bao, Silvio Savarese:
Semantic Structure from Motion: A Novel Framework for Joint Object Recognition and 3D Reconstruction. Theoretical Foundations of Computer Vision 2011: 376-397 - 2010
- [j5]Ioannis K. Brilakis, Manolis I. A. Lourakis, Rafael Sacks, Silvio Savarese, Symeon E. Christodoulou, Jochen Teizer, Atefe Makhmalbaf:
Toward automated generation of parametric BIMs based on hybrid video and laser scanning data. Adv. Eng. Informatics 24(4): 456-465 (2010) - [c21]Min Sun, Yingze Bao, Silvio Savarese:
Object Detection with Geometrical Context Feedback Loop. BMVC 2010: 1-11 - [c20]Sid Ying-Ze Bao, Min Sun, Silvio Savarese:
Toward coherent object detection and scene layout understanding. CVPR 2010: 65-72 - [c19]Wongun Choi, Silvio Savarese:
Multiple Target Tracking in World Coordinate with Single, Minimally Calibrated Camera. ECCV (4) 2010: 553-567 - [c18]Min Sun, Gary R. Bradski, Bing-Xin Xu, Silvio Savarese:
Depth-Encoded Hough Voting for Joint Object Detection and Shape Recovery. ECCV (5) 2010: 658-671 - [p1]Silvio Savarese, Li Fei-Fei:
Multi-view Object Categorization and Pose Estimation. Computer Vision: Detection, Recognition and Reconstruction 2010: 205-231
2000 – 2009
- 2009
- [j4]Silvio Savarese, Tinne Tuytelaars, Luc Van Gool:
Special issue on 3D representation for object and scene recognition. Comput. Vis. Image Underst. 113(12): 1181-1182 (2009) - [j3]Mani Golparvar Fard, Feniosky Peña-Mora, Silvio Savarese:
Application of D4AR - A 4-Dimensional augmented reality model for automating construction progress monitoring data collection, processing and communication. J. Inf. Technol. Constr. 14: 129-153 (2009) - [c17]Liang Mei, Min Sun, Kevin M. Carter, Alfred O. Hero III, Silvio Savarese:
Unsupervised Object Pose Classification from Short Video Sequences. BMVC 2009: 1-12 - [c16]Min Sun, Hao Su, Silvio Savarese, Li Fei-Fei:
A multi-view probabilistic model for 3D object classes. CVPR 2009: 1247-1254 - [c15]Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese:
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories. ICCV 2009: 213-220 - [c14]Paritosh Gupta, Sai Sankalp Arrabolu, Mathew Brown, Silvio Savarese:
Video scene categorization by 3D hierarchical histogram matching. ICCV 2009: 1655-1662 - [c13]Wongun Choi, Khuram Shahid, Silvio Savarese:
What are they doing? : Collective activity classification using spatio-temporal relationship among people. ICCV Workshops 2009: 1282-1289 - 2008
- [c12]Silvio Savarese, Li Fei-Fei:
View Synthesis for Recognizing Unseen Poses of Object Classes. ECCV (3) 2008: 602-615 - 2007
- [j2]Silvio Savarese, Marco Andreetto, Holly E. Rushmeier, Fausto Bernardini, Pietro Perona:
3D Reconstruction by Shadow Carving: Theory and Practical Evaluation. Int. J. Comput. Vis. 71(3): 305-336 (2007) - [c11]Andrey DelPozo, Silvio Savarese:
Detecting Specular Surfaces on Natural Images. CVPR 2007 - [c10]Silvio Savarese, Li Fei-Fei:
3D generic object categorization, localization and pose estimation. ICCV 2007: 1-8 - 2006
- [c9]Marco Andreetto, Silvio Savarese, Pietro Perona:
Carving from Ray-Tracing Constraints: IRT-Carving. 3DPVT 2006: 49-56 - [c8]Silvio Savarese, John M. Winn, Antonio Criminisi:
Discriminative Object Class Models of Appearance and Shape by Correlatons. CVPR (2) 2006: 2033-2040 - 2005
- [j1]Silvio Savarese, Min Chen, Pietro Perona:
Local Shape from Mirror Reflections. Int. J. Comput. Vis. 64(1): 31-67 (2005) - 2004
- [c7]Silvio Savarese, Li Fei-Fei, Pietro Perona:
What do reflections tell us about the shape of a mirror? APGV 2004: 115-118 - [c6]Silvio Savarese, Min Chen, Pietro Perona:
Recovering Local Shape of a Mirror Surface from Reflection of a Regular Grid. ECCV (3) 2004: 468-481 - 2002
- [c5]Silvio Savarese, Holly E. Rushmeier, Fausto Bernardini, Pietro Perona:
Implementation of a Shadow Carving System for Shape Capture. 3DPVT 2002: 12-23 - [c4]Silvio Savarese, Min Chen, Pietro Perona:
Second Order Local Analysis for 3D Reconstruction of Specular Surfaces. 3DPVT 2002: 356-361 - [c3]Silvio Savarese, Pietro Perona:
Local Analysis for 3D Reconstruction of Specular Surfaces - Part II. ECCV (2) 2002: 759-774 - 2001
- [c2]Silvio Savarese, Pietro Perona:
Local Analysis for 3D Reconstruction of Specular Surfaces. CVPR (2) 2001: 738-745 - [c1]Silvio Savarese, Holly E. Rushmeier, Fausto Bernardini, Pietro Perona:
Shadow Carving. ICCV 2001: 190-197
Coauthor Index
Sid Ying-Ze Bao
aka: Yingze Bao
aka: Yingze Bao
Christopher B. Choy
aka: Christopher Bongsoo Choy
aka: Christopher Bongsoo Choy
[i180] [c206] [c199] [c197] [i145] [i144] [c194] [i126] [c186] [c185] [c184] [c182] [c181] [c178] [c175] [c173] [c170] [c169] [c168] [i121] [i119] [i114] [i113] [i112] [i111] [i110] [i106] [j25] [j22] [c163] [c162] [c161] [c156] [i104] [i101] [i92] [i91] [i88] [i87] [c155] [c150] [c146] [c145] [c143] [c139] [c136] [c135] [c132] [i86] [i81] [i72] [i71] [i70] [i68] [i67] [i66] [i64] [i61] [i60] [i57] [c129] [c128] [c126] [c116] [c112] [i53] [i47] [i46] [i43] [i42] [c100] [c99] [c98] [p2] [i35] [i30] [c95] [c62] [c61] [p1] [c16] [c15] [c12] [c10] [c7]
Steven C. H. Hoi
aka: Steven Chu-Hong Hoi
aka: Steven Chu-Hong Hoi
Roberto Martin Martin
aka: Roberto Martín-Martín
aka: Roberto Martín-Martín
[c218] [i180] [j28] [c206] [c205] [c204] [c199] [i151] [i148] [i145] [c194] [c191] [i126] [i122] [c186] [c185] [c182] [c181] [c177] [c176] [c175] [c174] [c173] [c172] [c171] [c170] [i117] [i113] [i112] [i111] [i106] [j24] [j23] [c161] [c160] [c158] [c157] [c156] [i105] [i104] [i103] [i98] [i97] [i95] [i94] [i92] [i91] [i90] [i88] [i87] [j21] [j20] [c154] [c153] [c146] [c141] [c140] [c137] [c133] [c132] [i86] [i83] [i82] [i78] [i76] [i74] [i73] [i69] [i67] [i64] [i63] [i62] [i59] [i58]
Seyed Hamid Rezatofighi
aka: Hamid Rezatofighi
aka: Hamid Rezatofighi
Amir Sadeghian
aka: Amir A. Sadeghian
aka: Amir A. Sadeghian
Bokui Shen
aka: William B. Shen
aka: William B. Shen
[c220] [c219] [c218] [c217] [c216] [c215] [c214] [c213] [c211] [c210] [c209] [i186] [i185] [i184] [i183] [i182] [i181] [i179] [i178] [i177] [i176] [i175] [i174] [i173] [i172] [i171] [i170] [i169] [i167] [i166] [i165] [i164] [i163] [i162] [i161] [i160] [i159] [i158] [i157] [i156] [i155] [i154] [j29] [c207] [c205] [c203] [c201] [c196] [c195] [i152] [i149] [i148] [i147] [i143] [i142] [i141] [i140] [i139] [i138] [i137] [i135] [c188] [i133] [i132] [i123] [i122] [i120] [i108]
[j31] [c189] [i134] [c181] [c178] [c175] [c173] [c168] [i114] [i112] [j25] [j22] [c162] [c161] [i101] [i92] [i88] [i87] [c155] [c146] [c145] [c143] [c139] [c136] [c135] [c132] [i86] [i72] [i71] [i70] [i68] [i67] [i66] [i64] [i61] [i60] [i57] [c129] [c128] [c116] [c112] [i47] [i46] [i43] [i42] [c99] [c98] [i35] [i30] [c73] [i7]
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