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2020 – today
- 2024
[j5]Haochen Shi
, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu:
RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks. Int. J. Robotics Res. 43(4): 533-549 (2024)- [c41]Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber:
Partial-View Object View Synthesis via Filtering Inversion. 3DV 2024: 453-463 - [c40]Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu:
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. CVPR 2024: 22401-22412 - [c39]Licheng Zhong, Hong-Xing Yu, Jiajun Wu, Yunzhu Li:
Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians. ECCV (2) 2024: 407-423 - [c38]Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji:
Executable Code Actions Elicit Better LLM Agents. ICML 2024 - [c37]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [i40]Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji:
Executable Code Actions Elicit Better LLM Agents. CoRR abs/2402.01030 (2024) - [i39]Hanxiao Jiang, Binghao Huang, Ruihai Wu, Zhuoran Li, Shubham Garg, Hooshang Nayyeri, Shenlong Wang, Yunzhu Li:
RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation. CoRR abs/2402.15487 (2024) - [i38]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) - [i37]Licheng Zhong, Hong-Xing Yu, Jiajun Wu, Yunzhu Li:
Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians. CoRR abs/2403.09434 (2024) - [i36]Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu:
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. CoRR abs/2405.09546 (2024) - [i35]Bo Ai, Stephen Tian, Haochen Shi, Yixuan Wang, Cheston Tan, Yunzhu Li, Jiajun Wu:
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing. CoRR abs/2407.01418 (2024) - [i34]Kaifeng Zhang, Baoyu Li, Kris Hauser, Yunzhu Li:
AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation. CoRR abs/2407.07889 (2024) - [i33]Zhenfang Chen, Shilong Dong, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
Compositional Physical Reasoning of Objects and Events from Videos. CoRR abs/2408.02687 (2024) - [i32]Wenlong Huang, Chen Wang, Yunzhu Li, Ruohan Zhang, Li Fei-Fei:
ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation. CoRR abs/2409.01652 (2024) - 2023
- [j4]Junfang Bao, Jianli Li, Chunyu Qu, Yunzhu Li:
Multi-Node Motion Estimation Method Based on B-Spline of Array Position and Orientation System. Remote. Sens. 15(11): 2892 (2023) - [j3]Zherong Pan, Andy Zeng, Yunzhu Li, Jingjin Yu, Kris Hauser:
Algorithms and Systems for Manipulating Multiple Objects. IEEE Trans. Robotics 39(1): 2-20 (2023) - [c36]Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell:
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks. CoRL 2023: 358-373 - [c35]Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei:
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models. CoRL 2023: 540-562 - [c34]Haochen Shi, Huazhe Xu, Samuel Clarke, Yunzhu Li, Jiajun Wu:
RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools. CoRL 2023: 642-660 - [c33]Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel Yamins, Yunzhu Li, Hsiao-Yu Tung:
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. CVPR Workshops 2023: 3625-3635 - [c32]Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu:
Multi-Object Manipulation via Object-Centric Neural Scattering Functions. CVPR 2023: 9021-9031 - [c31]Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu:
The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects. CVPR 2023: 17276-17286 - [c30]Yunzhu Li, Rongrong Fu:
Research on the Design of Weighing Scale Based on Health Management During Pregnancy. HCI (24) 2023: 389-406 - [c29]Lirui Wang, Kaiqing Zhang, Yunzhu Li, Yonglong Tian, Russ Tedrake:
Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision? ICLR 2023 - [c28]Ziang Liu, Genggeng Zhou, Jeff He, Tobia Marcucci, Fei-Fei Li, Jiajun Wu, Yunzhu Li:
Model-Based Control with Sparse Neural Dynamics. NeurIPS 2023 - [c27]Haotian Xue, Antonio Torralba, Josh Tenenbaum, Dan Yamins, Yunzhu Li, Hsiao-Yu Tung:
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. NeurIPS 2023 - [c26]Yixuan Wang, Yunzhu Li, Katherine Driggs Campbell, Li Fei-Fei, Jiajun Wu:
Dynamic-Resolution Model Learning for Object Pile Manipulation. Robotics: Science and Systems 2023 - [i31]Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber:
Partial-View Object View Synthesis via Filtered Inversion. CoRR abs/2304.00673 (2023) - [i30]Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel L. K. Yamins, Yunzhu Li, Hsiao-Yu Tung:
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. CoRR abs/2304.11470 (2023) - [i29]Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu:
The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects. CoRR abs/2306.00956 (2023) - [i28]Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu:
Multi-Object Manipulation via Object-Centric Neural Scattering Functions. CoRR abs/2306.08748 (2023) - [i27]Haochen Shi, Huazhe Xu, Samuel Clarke, Yunzhu Li, Jiajun Wu:
RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools. CoRR abs/2306.14447 (2023) - [i26]Yixuan Wang, Yunzhu Li, Katherine Driggs Campbell, Li Fei-Fei, Jiajun Wu:
Dynamic-Resolution Model Learning for Object Pile Manipulation. CoRR abs/2306.16700 (2023) - [i25]Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei:
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models. CoRR abs/2307.05973 (2023) - [i24]Yixuan Wang, Zhuoran Li, Mingtong Zhang, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li:
D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation. CoRR abs/2309.16118 (2023) - [i23]Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell:
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks. CoRR abs/2309.16873 (2023) - [i22]Ziang Liu, Genggeng Zhou, Jeff He, Tobia Marcucci, Li Fei-Fei, Jiajun Wu, Yunzhu Li:
Model-Based Control with Sparse Neural Dynamics. CoRR abs/2312.12791 (2023) - 2022
- [b1]Yunzhu Li:
Learning Structured World Models From and For Physical Interactions. MIT, USA, 2022 - [c25]Lujie Yang, Kaiqing Zhang, Alexandre Amice, Yunzhu Li, Russ Tedrake:
Discrete Approximate Information States in Partially Observable Environments. ACC 2022: 1406-1413 - [c24]Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held:
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. CoRL 2022: 1640-1651 - [c23]Danny Driess, Zhiao Huang, Yunzhu Li, Russ Tedrake, Marc Toussaint:
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields. CoRL 2022: 1755-1768 - [c22]Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos. ICLR 2022 - [c21]Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan:
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools. ICLR 2022 - [c20]Joseph DelPreto, Chao Liu, Yiyue Luo, Michael Foshey, Yunzhu Li, Antonio Torralba, Wojciech Matusik, Daniela Rus:
ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment. NeurIPS 2022 - [c19]Danny Driess, Ingmar Schubert, Pete Florence, Yunzhu Li, Marc Toussaint:
Reinforcement Learning with Neural Radiance Fields. NeurIPS 2022 - [c18]Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu:
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks. Robotics: Science and Systems 2022 - [i21]Danny Driess, Zhiao Huang, Yunzhu Li, Russ Tedrake, Marc Toussaint:
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields. CoRR abs/2202.11855 (2022) - [i20]Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan:
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools. CoRR abs/2203.17275 (2022) - [i19]Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos. CoRR abs/2205.01089 (2022) - [i18]Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu:
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks. CoRR abs/2205.02909 (2022) - [i17]Danny Driess, Ingmar Schubert, Peter R. Florence, Yunzhu Li, Marc Toussaint:
Reinforcement Learning with Neural Radiance Fields. CoRR abs/2206.01634 (2022) - [i16]Lirui Wang, Kaiqing Zhang, Yunzhu Li, Yonglong Tian, Russ Tedrake:
Does Decentralized Learning with Non-IID Unlabeled Data Benefit from Self Supervision? CoRR abs/2210.10947 (2022) - [i15]Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held:
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. CoRR abs/2210.15751 (2022) - 2021
- [c17]Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba:
3D Neural Scene Representations for Visuomotor Control. CoRL 2021: 112-123 - [c16]Yiyue Luo, Yunzhu Li, Michael Foshey, Wan Shou, Pratyusha Sharma, Tomás Palacios, Antonio Torralba, Wojciech Matusik:
Intelligent Carpet: Inferring 3D Human Pose From Tactile Signals. CVPR 2021: 11255-11265 - [c15]Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba:
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. IROS 2021: 2874-2881 - [i14]Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba:
3D Neural Scene Representations for Visuomotor Control. CoRR abs/2107.04004 (2021) - [i13]Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba:
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. CoRR abs/2109.04378 (2021) - 2020
- [j2]Tianyuan Liu, Yunzhu Li, Yonghui Xie, Di Zhang:
Deep Learning for Nanofluid Field Reconstruction in Experimental Analysis. IEEE Access 8: 64692-64706 (2020) - [c14]Lucas Manuelli, Yunzhu Li, Peter R. Florence, Russ Tedrake:
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning. CoRL 2020: 693-710 - [c13]Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba:
Learning Compositional Koopman Operators for Model-Based Control. ICLR 2020 - [c12]Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum:
CLEVRER: Collision Events for Video Representation and Reasoning. ICLR 2020 - [c11]Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel Yamins, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba:
Visual Grounding of Learned Physical Models. ICML 2020: 5927-5936 - [c10]Meiyan Xie, Yunzhu Li, Yunzhe Xue, Lauren Huntress, William Beckerman, Saum A. Rahimi, Justin W. Ady, Usman W. Roshan:
Two-stage and dual-decoder convolutional U-Net ensembles for reliable vessel and plaque segmentation in carotid ultrasound images. ICMLA 2020: 1376-1381 - [c9]Daniel Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Josh Tenenbaum, Daniel L. K. Yamins:
Learning Physical Graph Representations from Visual Scenes. NeurIPS 2020 - [c8]Yunzhu Li, Antonio Torralba, Anima Anandkumar, Dieter Fox, Animesh Garg:
Causal Discovery in Physical Systems from Videos. NeurIPS 2020 - [i12]Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel L. K. Yamins, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba:
Visual Grounding of Learned Physical Models. CoRR abs/2004.13664 (2020) - [i11]Daniel M. Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins:
Learning Physical Graph Representations from Visual Scenes. CoRR abs/2006.12373 (2020) - [i10]Yunzhu Li, Antonio Torralba, Animashree Anandkumar, Dieter Fox, Animesh Garg:
Causal Discovery in Physical Systems from Videos. CoRR abs/2007.00631 (2020) - [i9]Lucas Manuelli, Yunzhu Li, Peter R. Florence, Russ Tedrake:
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning. CoRR abs/2009.05085 (2020)
2010 – 2019
- 2019
- [j1]Subramanian Sundaram, Petr Kellnhofer, Yunzhu Li, Jun-Yan Zhu, Antonio Torralba, Wojciech Matusik:
Learning the signatures of the human grasp using a scalable tactile glove. Nat. 569(7758): 698-702 (2019) - [c7]Meiyan Xie, Yunzhu Li, Yunzhe Xue, Randy Shafritz, Saum A. Rahimi, Justin W. Ady, Usman W. Roshan:
Vessel lumen segmentation in internal carotid artery ultrasounds with deep convolutional neural networks. BIBM 2019: 2393-2398 - [c6]Yunzhu Li, Jun-Yan Zhu, Russ Tedrake, Antonio Torralba:
Connecting Touch and Vision via Cross-Modal Prediction. CVPR 2019: 10609-10618 - [c5]Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B. Tenenbaum, Antonio Torralba:
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids. ICLR (Poster) 2019 - [c4]Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Joshua B. Tenenbaum, Antonio Torralba, Russ Tedrake:
Propagation Networks for Model-Based Control Under Partial Observation. ICRA 2019: 1205-1211 - [i8]Yunzhu Li, Jun-Yan Zhu, Russ Tedrake, Antonio Torralba:
Connecting Touch and Vision via Cross-Modal Prediction. CoRR abs/1906.06322 (2019) - [i7]Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum:
CLEVRER: CoLlision Events for Video REpresentation and Reasoning. CoRR abs/1910.01442 (2019) - [i6]Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba:
Learning Compositional Koopman Operators for Model-Based Control. CoRR abs/1910.08264 (2019) - 2018
- [i5]Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Joshua B. Tenenbaum, Antonio Torralba, Russ Tedrake:
Propagation Networks for Model-Based Control Under Partial Observation. CoRR abs/1809.11169 (2018) - [i4]Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B. Tenenbaum, Antonio Torralba:
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids. CoRR abs/1810.01566 (2018) - 2017
- [c3]Yunzhu Li, Andre Esteva, Brett Kuprel, Roberto A. Novoa, Justin Ko, Sebastian Thrun:
Skin Cancer Detection and Tracking Using Data Synthesis and Deep Learning. AAAI Workshops 2017 - [c2]Yunzhu Li, Jiaming Song, Stefano Ermon:
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations. NIPS 2017: 3812-3822 - [i3]Yunzhu Li, Jiaming Song, Stefano Ermon:
Inferring The Latent Structure of Human Decision-Making from Raw Visual Inputs. CoRR abs/1703.08840 (2017) - 2016
- [c1]Yunzhu Li, Benyuan Sun, Tianfu Wu, Yizhou Wang:
Face Detection with End-to-End Integration of a ConvNet and a 3D Model. ECCV (3) 2016: 420-436 - [i2]Yunzhu Li, Benyuan Sun, Tianfu Wu, Yizhou Wang, Wen Gao:
Face Detection with End-to-End Integration of a ConvNet and a 3D Model. CoRR abs/1606.00850 (2016) - [i1]Yunzhu Li, Andre Esteva, Brett Kuprel, Roberto A. Novoa, Justin Ko, Sebastian Thrun:
Skin Cancer Detection and Tracking using Data Synthesis and Deep Learning. CoRR abs/1612.01074 (2016)
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-11-18 20:46 CET by the dblp team
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