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2020 – today
- 2025
[i88]David S. Hayden, Mao Ye, Timur Garipov, Gregory P. Meyer, Carl Vondrick, Zhao Chen, Yuning Chai, Eric M. Wolff, Siddhartha S. Srinivasa:
Generative Data Mining with Longtail-Guided Diffusion. CoRR abs/2502.01980 (2025)- [i87]Utkarsh Mall, Cheng Perng Phoo, Mia Chiquier, Bharath Hariharan, Kavita Bala, Carl Vondrick:
DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery. CoRR abs/2502.10060 (2025) - 2024
- [j8]Sachit Menon
, Ishaan Preetam Chandratreya, Carl Vondrick:
Task Bias in Contrastive Vision-Language Models. Int. J. Comput. Vis. 132(6): 2026-2040 (2024) - [c83]Tamar Fuhrmann, Marina A Lemee, Jonathan Pang, Je Seung You, Lydia B. Chilton, Carl Vondrick, Paulo Blikstein:
Seeing Science: Inquiry-Based Learning at Home Through Mobile Messaging System. IDC 2024: 794-799 - [c82]Ruoshi Liu, Alper Canberk, Shuran Song, Carl Vondrick:
Differentiable Robot Rendering. CoRL 2024: 117-129 - [c81]Junbang Liang, Ruoshi Liu, Ege Ozguroglu, Sruthi Sudhakar, Achal Dave, Pavel Tokmakov, Shuran Song, Carl Vondrick:
Dreamitate: Real-World Visuomotor Policy Learning via Video Generation. CoRL 2024: 3943-3960 - [c80]Ege Ozguroglu, Ruoshi Liu, Dídac Surís, Dian Chen, Achal Dave, Pavel Tokmakov, Carl Vondrick:
pix2gestalt: Amodal Segmentation by Synthesizing Wholes. CVPR 2024: 3931-3940 - [c79]Abdullah Hamdi, Luke Melas-Kyriazi, Jinjie Mai, Guocheng Qian, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi:
GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering. CVPR 2024: 19812-19822 - [c78]Alper Canberk, Maksym Bondarenko, Ege Ozguroglu, Ruoshi Liu, Carl Vondrick:
EraseDraw: Learning to Insert Objects by Erasing Them from Images. ECCV (79) 2024: 144-160 - [c77]Sumit Sarin, Utkarsh Mall, Purva Tendulkar, Carl Vondrick:
How Video Meetings Change Your Expression. ECCV (17) 2024: 158-175 - [c76]Mia Chiquier, Utkarsh Mall, Carl Vondrick:
Evolving Interpretable Visual Classifiers with Large Language Models. ECCV (64) 2024: 183-201 - [c75]Basile Van Hoorick, Rundi Wu, Ege Ozguroglu, Kyle Sargent, Ruoshi Liu, Pavel Tokmakov, Achal Dave, Changxi Zheng, Carl Vondrick:
Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis. ECCV (24) 2024: 313-331 - [c74]Sruthi Sudhakar, Ruoshi Liu, Basile Van Hoorick, Carl Vondrick, Richard S. Zemel:
Controlling the World by Sleight of Hand. ECCV (30) 2024: 414-430 - [c73]Sachit Menon, Richard S. Zemel, Carl Vondrick:
Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities. EMNLP 2024: 20016-20031 - [c72]Haozhe Chen, Junfeng Yang, Carl Vondrick, Chengzhi Mao:
INViTE: INterpret and Control Vision-Language Models with Text Explanations. ICLR 2024 - [c71]Utkarsh Mall, Cheng Perng Phoo, Meilin Kelsey Liu, Carl Vondrick, Bharath Hariharan, Kavita Bala:
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment. ICLR 2024 - [c70]Chengzhi Mao, Carl Vondrick, Hao Wang, Junfeng Yang:
Raidar: geneRative AI Detection viA Rewriting. ICLR 2024 - [c69]Rundi Wu, Ruoshi Liu, Carl Vondrick, Changxi Zheng:
Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape. ICLR 2024 - [c68]Haozhe Chen, Carl Vondrick, Chengzhi Mao:
SelfIE: Self-Interpretation of Large Language Model Embeddings. ICML 2024 - [c67]Ansel Blume, Khanh Duy Nguyen, Zhenhailong Wang, Yangyi Chen, Michal Shlapentokh-Rothman, Xiaomeng Jin, Jeonghwan Kim, Zhen Zhu, Jiateng Liu, Kuan-Hao Huang, Mankeerat Sidhu, Xuanming Zhang, Vivian Liu, Raunak Sinha, Te-Lin Wu, Abhay Zala, Elias Stengel-Eskin, Da Yin, Yao Xiao, Utkarsh Mall, Zhou Yu, Kai-Wei Chang, Camille Cobb, Karrie Karahalios, Lydia B. Chilton, Mohit Bansal, Nanyun Peng, Carl Vondrick, Derek Hoiem, Heng Ji:
MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System. ACM Multimedia 2024: 11252-11254 - [i86]Chengzhi Mao, Carl Vondrick, Hao Wang, Junfeng Yang:
Raidar: geneRative AI Detection viA Rewriting. CoRR abs/2401.12970 (2024) - [i85]Ege Ozguroglu, Ruoshi Liu, Dídac Surís, Dian Chen, Achal Dave, Pavel Tokmakov, Carl Vondrick:
pix2gestalt: Amodal Segmentation by Synthesizing Wholes. CoRR abs/2401.14398 (2024) - [i84]Abdullah Hamdi, Luke Melas-Kyriazi, Guocheng Qian, Jinjie Mai, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi:
GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering. CoRR abs/2402.10128 (2024) - [i83]Ruoshi Liu, Junbang Liang, Sruthi Sudhakar, Huy Ha, Cheng Chi, Shuran Song, Carl Vondrick:
PaperBot: Learning to Design Real-World Tools Using Paper. CoRR abs/2403.09566 (2024) - [i82]Haozhe Chen, Carl Vondrick, Chengzhi Mao:
SelfIE: Self-Interpretation of Large Language Model Embeddings. CoRR abs/2403.10949 (2024) - [i81]Mia Chiquier, Utkarsh Mall, Carl Vondrick:
Evolving Interpretable Visual Classifiers with Large Language Models. CoRR abs/2404.09941 (2024) - [i80]Basile Van Hoorick, Rundi Wu, Ege Ozguroglu, Kyle Sargent, Ruoshi Liu, Pavel Tokmakov, Achal Dave, Changxi Zheng, Carl Vondrick:
Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis. CoRR abs/2405.14868 (2024) - [i79]Sumit Sarin, Utkarsh Mall, Purva Tendulkar, Carl Vondrick:
How Video Meetings Change Your Expression. CoRR abs/2406.00955 (2024) - [i78]Amith Ananthram, Elias Stengel-Eskin, Carl Vondrick, Mohit Bansal, Kathleen R. McKeown:
See It from My Perspective: Diagnosing the Western Cultural Bias of Large Vision-Language Models in Image Understanding. CoRR abs/2406.11665 (2024) - [i77]Sachit Menon, Richard S. Zemel, Carl Vondrick:
Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities. CoRR abs/2406.14562 (2024) - [i76]Junbang Liang, Ruoshi Liu, Ege Ozguroglu, Sruthi Sudhakar, Achal Dave, Pavel Tokmakov, Shuran Song, Carl Vondrick:
Dreamitate: Real-World Visuomotor Policy Learning via Video Generation. CoRR abs/2406.16862 (2024) - [i75]Sruthi Sudhakar, Ruoshi Liu, Basile Van Hoorick, Carl Vondrick, Richard S. Zemel:
Controlling the World by Sleight of Hand. CoRR abs/2408.07147 (2024) - [i74]Alper Canberk, Maksym Bondarenko, Ege Ozguroglu, Ruoshi Liu, Carl Vondrick:
EraseDraw: Learning to Insert Objects by Erasing Them from Images. CoRR abs/2409.00522 (2024) - [i73]Ruoshi Liu, Alper Canberk, Shuran Song, Carl Vondrick:
Differentiable Robot Rendering. CoRR abs/2410.13851 (2024) - [i72]Ruoshi Liu, Huy Ha, Mengxue Hou, Shuran Song, Carl Vondrick:
Self-Improving Autonomous Underwater Manipulation. CoRR abs/2410.18969 (2024) - [i71]Arnold Caleb Asiimwe, Dídac Surís, Pranav Rajpurkar, Carl Vondrick:
MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting. CoRR abs/2412.02971 (2024) - 2023
- [c66]Chengzhi Mao, Revant Teotia, Amrutha Sundar, Sachit Menon, Junfeng Yang, Xin Wang, Carl Vondrick:
Doubly Right Object Recognition: A Why Prompt for Visual Rationales. CVPR 2023: 2722-2732 - [c65]Ruoshi Liu, Carl Vondrick:
Humans as Light Bulbs: 3D Human Reconstruction from Thermal Reflection. CVPR 2023: 12531-12542 - [c64]Basile Van Hoorick, Pavel Tokmakov, Simon Stent, Jie Li, Carl Vondrick:
Tracking Through Containers and Occluders in the Wild. CVPR 2023: 13802-13812 - [c63]Ruoshi Liu, Sachit Menon, Chengzhi Mao, Dennis Park, Simon Stent, Carl Vondrick:
What You Can Reconstruct from a Shadow. CVPR 2023: 17059-17068 - [c62]Purva Tendulkar, Dídac Surís, Carl Vondrick:
FLEX: Full-Body Grasping Without Full-Body Grasps. CVPR 2023: 21179-21189 - [c61]Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick:
Landscape Learning for Neural Network Inversion. ICCV 2023: 2239-2250 - [c60]Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai:
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. ICCV 2023: 8459-8469 - [c59]Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, Carl Vondrick:
Zero-1-to-3: Zero-shot One Image to 3D Object. ICCV 2023: 9264-9275 - [c58]Dídac Surís, Sachit Menon, Carl Vondrick:
ViperGPT: Visual Inference via Python Execution for Reasoning. ICCV 2023: 11854-11864 - [c57]Arjun Mani, Ishaan Preetam Chandratreya, Elliot Creager, Carl Vondrick, Richard S. Zemel:
SurfsUp: Learning Fluid Simulation for Novel Surfaces. ICCV 2023: 14179-14189 - [c56]Mia Chiquier, Carl Vondrick:
Muscles in Action. ICCV 2023: 22034-22044 - [c55]Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick:
Understanding Zero-shot Adversarial Robustness for Large-Scale Models. ICLR 2023 - [c54]Sachit Menon, Carl Vondrick:
Visual Classification via Description from Large Language Models. ICLR 2023 - [c53]Chengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi, Junfeng Yang, Hao Wang, Carl Vondrick:
Robust Perception through Equivariance. ICML 2023: 23852-23870 - [c52]Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi:
Objaverse-XL: A Universe of 10M+ 3D Objects. NeurIPS 2023 - [c51]Sungduk Yu, Walter M. Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah D. Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Christopher S. Bretherton, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Mark Taylor, Nathan M. Urban, Janni Yuval, Guang Zhang, Mike Pritchard:
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. NeurIPS 2023 - [i70]Scott Geng, Revant Teotia, Purva Tendulkar, Sachit Menon, Carl Vondrick:
Affective Faces for Goal-Driven Dyadic Communication. CoRR abs/2301.10939 (2023) - [i69]Dídac Surís, Sachit Menon, Carl Vondrick:
ViperGPT: Visual Inference via Python Execution for Reasoning. CoRR abs/2303.08128 (2023) - [i68]Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, Carl Vondrick:
Zero-1-to-3: Zero-shot One Image to 3D Object. CoRR abs/2303.11328 (2023) - [i67]Arjun Mani, Ishaan Preetam Chandratreya, Elliot Creager, Carl Vondrick, Richard S. Zemel:
SURFSUP: Learning Fluid Simulation for Novel Surfaces. CoRR abs/2304.06197 (2023) - [i66]Ruoshi Liu, Carl Vondrick:
Humans as Light Bulbs: 3D Human Reconstruction from Thermal Reflection. CoRR abs/2305.01652 (2023) - [i65]Basile Van Hoorick, Pavel Tokmakov, Simon Stent, Jie Li, Carl Vondrick:
Tracking through Containers and Occluders in the Wild. CoRR abs/2305.03052 (2023) - [i64]Rundi Wu, Ruoshi Liu, Carl Vondrick, Changxi Zheng:
Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape. CoRR abs/2305.15399 (2023) - [i63]Sungduk Yu, Walter M. Hannah, Liran Peng, Mohamed Aziz Bhouri, Ritwik Gupta, Jerry Lin, Björn Lütjens, Justus C. Will, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Anima Anandkumar, Noah D. Brenowitz, Veronika Eyring, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Carl Vondrick, Rose Yu, Laure Zanna, Ryan P. Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Gunnar Behrens, Christopher S. Bretherton, Julius J. M. Busecke, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Akshay Subramaniam, Mark A. Taylor, et al.:
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators. CoRR abs/2306.08754 (2023) - [i62]Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi:
Objaverse-XL: A Universe of 10M+ 3D Objects. CoRR abs/2307.05663 (2023) - [i61]Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai:
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. CoRR abs/2309.05810 (2023) - [i60]Haozhe Chen, Junfeng Yang, Carl Vondrick, Chengzhi Mao:
Interpreting and Controlling Vision Foundation Models via Text Explanations. CoRR abs/2310.10591 (2023) - [i59]Utkarsh Mall, Cheng Perng Phoo, Meilin Kelsey Liu, Carl Vondrick, Bharath Hariharan, Kavita Bala:
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment. CoRR abs/2312.06960 (2023) - 2022
- [j7]Boyuan Chen, Robert Kwiatkowski, Carl Vondrick, Hod Lipson:
Fully body visual self-modeling of robot morphologies. Sci. Robotics 7(68) (2022) - [c50]Xingyu Fu, Ben Zhou, Ishaan Preetam Chandratreya, Carl Vondrick, Dan Roth:
There's a Time and Place for Reasoning Beyond the Image. ACL (1) 2022: 1138-1149 - [c49]Basile Van Hoorick, Purva Tendulkar, Dídac Surís, Dennis Park, Simon Stent, Carl Vondrick:
Revealing Occlusions with 4D Neural Fields. CVPR 2022: 3001-3011 - [c48]Chengzhi Mao, Kevin Xia, James Wang, Hao Wang, Junfeng Yang, Elias Bareinboim, Carl Vondrick:
Causal Transportability for Visual Recognition. CVPR 2022: 7511-7521 - [c47]Dídac Surís, Carl Vondrick, Bryan C. Russell, Justin Salamon:
It's Time for Artistic Correspondence in Music and Video. CVPR 2022: 10554-10564 - [c46]Will Price, Carl Vondrick, Dima Damen:
UnweaveNet: Unweaving Activity Stories. CVPR 2022: 13760-13769 - [c45]Dídac Surís, Dave Epstein, Carl Vondrick:
Globetrotter: Connecting Languages by Connecting Images. CVPR 2022: 16453-16463 - [c44]Mia Chiquier, Chengzhi Mao, Carl Vondrick:
Real-Time Neural Voice Camouflage. ICLR 2022 - [c43]Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa:
Discrete Representations Strengthen Vision Transformer Robustness. ICLR 2022 - [c42]Hui Lu, Mia Chiquier, Carl Vondrick:
Private Multiparty Perception for Navigation. NeurIPS 2022 - [c41]Dídac Surís, Carl Vondrick:
Representing Spatial Trajectories as Distributions. NeurIPS 2022 - [c40]Sachit Menon, David M. Blei, Carl Vondrick:
Forget-me-not! Contrastive critics for mitigating posterior collapse. UAI 2022: 1360-1370 - [i58]Xingyu Fu, Ben Zhou, Ishaan Preetam Chandratreya, Carl Vondrick, Dan Roth:
There is a Time and Place for Reasoning Beyond the Image. CoRR abs/2203.00758 (2022) - [i57]Basile Van Hoorick, Purva Tendulkar, Didac Suris, Dennis Park, Simon Stent, Carl Vondrick:
Revealing Occlusions with 4D Neural Fields. CoRR abs/2204.10916 (2022) - [i56]Chengzhi Mao, Kevin Xia, James Wang, Hao Wang, Junfeng Yang, Elias Bareinboim, Carl Vondrick:
Causal Transportability for Visual Recognition. CoRR abs/2204.12363 (2022) - [i55]Didac Suris, Carl Vondrick, Bryan C. Russell, Justin Salamon:
It's Time for Artistic Correspondence in Music and Video. CoRR abs/2206.07148 (2022) - [i54]Ruoshi Liu, Sachit Menon, Chengzhi Mao, Dennis Park, Simon Stent, Carl Vondrick:
Shadows Shed Light on 3D Objects. CoRR abs/2206.08990 (2022) - [i53]Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick:
Landscape Learning for Neural Network Inversion. CoRR abs/2206.09027 (2022) - [i52]Sachit Menon, David M. Blei, Carl Vondrick:
Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse. CoRR abs/2207.09535 (2022) - [i51]Dídac Surís, Carl Vondrick:
Representing Spatial Trajectories as Distributions. CoRR abs/2210.01322 (2022) - [i50]Sachit Menon, Carl Vondrick:
Visual Classification via Description from Large Language Models. CoRR abs/2210.07183 (2022) - [i49]Purva Tendulkar, Dídac Surís, Carl Vondrick:
FLEX: Full-Body Grasping Without Full-Body Grasps. CoRR abs/2211.11903 (2022) - [i48]Hui Lu, Mia Chiquier, Carl Vondrick:
Private Multiparty Perception for Navigation. CoRR abs/2212.00912 (2022) - [i47]Mia Chiquier, Carl Vondrick:
Muscles in Action. CoRR abs/2212.02978 (2022) - [i46]Sachit Menon, Ishaan Preetam Chandratreya, Carl Vondrick:
Task Bias in Vision-Language Models. CoRR abs/2212.04412 (2022) - [i45]Chengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi, Junfeng Yang, Hao Wang, Carl Vondrick:
Robust Perception through Equivariance. CoRR abs/2212.06079 (2022) - [i44]Chengzhi Mao, Revant Teotia, Amrutha Sundar, Sachit Menon, Junfeng Yang, Xin Wang, Carl Vondrick:
Doubly Right Object Recognition: A Why Prompt for Visual Rationales. CoRR abs/2212.06202 (2022) - [i43]Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick:
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models. CoRR abs/2212.07016 (2022) - [i42]Lingyu Zhang, Chengzhi Mao, Junfeng Yang, Carl Vondrick:
Adversarially Robust Video Perception by Seeing Motion. CoRR abs/2212.07815 (2022) - 2021
- [c39]Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Lawrence Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer:
Towards a Unifying Framework for Formal Theories of Novelty. AAAI 2021: 15047-15052 - [c38]Boyuan Chen, Mia Chiquier, Hod Lipson, Carl Vondrick:
The Boombox: Visual Reconstruction from Acoustic Vibrations. CoRL 2021: 1067-1077 - [c37]Chengzhi Mao, Augustine Cha, Amogh Gupta, Hao Wang, Junfeng Yang, Carl Vondrick:
Generative Interventions for Causal Learning. CVPR 2021: 3947-3956 - [c36]Dave Epstein, Carl Vondrick:
Learning Goals From Failure. CVPR 2021: 11194-11204 - [c35]Didac Suris, Ruoshi Liu, Carl Vondrick:
Learning the Predictability of the Future. CVPR 2021: 12607-12617 - [c34]Chengzhi Mao, Mia Chiquier, Hao Wang, Junfeng Yang, Carl Vondrick:
Adversarial Attacks are Reversible with Natural Supervision. ICCV 2021: 641-651 - [c33]Basile Van Hoorick, Carl Vondrick:
Dissecting Image Crops. ICCV 2021: 9721-9730 - [c32]Haoyang Wen, Ying Lin, Tuan Manh Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Ren Fung, Piyush Mishra, Qing Lyu, Dídac Surís, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji:
RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. NAACL-HLT (Demonstrations) 2021: 133-143 - [i41]Dídac Surís, Ruoshi Liu, Carl Vondrick:
Learning the Predictability of the Future. CoRR abs/2101.01600 (2021) - [i40]Chengzhi Mao, Mia Chiquier, Hao Wang, Junfeng Yang, Carl Vondrick:
Adversarial Attacks are Reversible with Natural Supervision. CoRR abs/2103.14222 (2021) - [i39]Boyuan Chen, Mia Chiquier, Hod Lipson, Carl Vondrick:
The Boombox: Visual Reconstruction from Acoustic Vibrations. CoRR abs/2105.08052 (2021) - [i38]Boyuan Chen, Robert Kwiatkowski, Carl Vondrick, Hod Lipson:
Full-Body Visual Self-Modeling of Robot Morphologies. CoRR abs/2111.06389 (2021) - [i37]Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa:
Discrete Representations Strengthen Vision Transformer Robustness. CoRR abs/2111.10493 (2021) - [i36]Mia Chiquier, Chengzhi Mao, Carl Vondrick:
Real-Time Neural Voice Camouflage. CoRR abs/2112.07076 (2021) - [i35]Will Price, Carl Vondrick, Dima Damen:
UnweaveNet: Unweaving Activity Stories. CoRR abs/2112.10194 (2021) - 2020
- [j6]Mathew Monfort, Carl Vondrick, Aude Oliva, Alex Andonian, Bolei Zhou, Kandan Ramakrishnan, Sarah Adel Bargal, Tom Yan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund:
Moments in Time Dataset: One Million Videos for Event Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 502-508 (2020) - [c31]Dave Epstein, Boyuan Chen, Carl Vondrick:
Oops! Predicting Unintentional Action in Video. CVPR 2020: 916-926 - [c30]Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogério Feris, Carl Vondrick, Aude Oliva:
We Have So Much in Common: Modeling Semantic Relational Set Abstractions in Videos. ECCV (18) 2020: 18-34 - [c29]Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick:
Multitask Learning Strengthens Adversarial Robustness. ECCV (2) 2020: 158-174 - [c28]Dídac Surís, Dave Epstein, Heng Ji, Shih-Fu Chang, Carl Vondrick:
Learning to Learn Words from Visual Scenes. ECCV (29) 2020: 434-452 - [c27]Boyuan Chen, Shuran Song, Hod Lipson, Carl Vondrick:
Visual Hide and Seek. ALIFE 2020: 645-655 - [c26]Ruilin Xu, Rundi Wu, Yuko Ishiwaka, Carl Vondrick, Changxi Zheng:
Listening to Sounds of Silence for Speech Denoising. NeurIPS 2020 - [i34]Dave Epstein, Carl Vondrick:
Video Representations of Goals Emerge from Watching Failure. CoRR abs/2006.15657 (2020) - [i33]Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick:
Multitask Learning Strengthens Adversarial Robustness. CoRR abs/2007.07236 (2020) - [i32]Bo Wu, Haoyu Qin, Alireza Zareian, Carl Vondrick, Shih-Fu Chang:
Analogical Reasoning for Visually Grounded Language Acquisition. CoRR abs/2007.11668 (2020) - [i31]Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogério Feris, Carl Vondrick, Aude Oliva:
We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos. CoRR abs/2008.05596 (2020) - [i30]Ruilin Xu, Rundi Wu, Yuko Ishiwaka, Carl Vondrick, Changxi Zheng:
Listening to Sounds of Silence for Speech Denoising. CoRR abs/2010.12013 (2020) - [i29]Basile Van Hoorick, Carl Vondrick:
Dissecting Image Crops. CoRR abs/2011.11831 (2020) - [i28]Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Larry B. Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer:
A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion. CoRR abs/2012.04226 (2020) - [i27]Dídac Surís, Dave Epstein, Carl Vondrick:
Globetrotter: Unsupervised Multilingual Translation from Visual Alignment. CoRR abs/2012.04631 (2020) - [i26]Chengzhi Mao, Amogh Gupta, Augustine Cha, Hao Wang, Junfeng Yang, Carl Vondrick:
Generative Interventions for Causal Learning. CoRR abs/2012.12265 (2020)
2010 – 2019
- 2019
- [j5]Kexin Pei, Shiqi Wang, Yuchi Tian, Justin Whitehouse, Carl Vondrick, Yinzhi Cao, Baishakhi Ray, Suman Jana, Junfeng Yang:
Bringing Engineering Rigor to Deep Learning. ACM SIGOPS Oper. Syst. Rev. 53(1): 59-67 (2019) - [c25]Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid:
Relational Action Forecasting. CVPR 2019: 273-283 - [c24]Hassan Akbari, Svebor Karaman, Surabhi Bhargava, Brian Chen, Carl Vondrick, Shih-Fu Chang:
Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding. CVPR 2019: 12476-12486 - [c23]Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid:
VideoBERT: A Joint Model for Video and Language Representation Learning. ICCV 2019: 7463-7472 - [c22]Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray:
Metric Learning for Adversarial Robustness. NeurIPS 2019: 478-489 - [c21]Thibault Sellam, Kevin Lin, Ian Yiran Huang, Michelle Yang, Carl Vondrick, Eugene Wu:
DeepBase: Deep Inspection of Neural Networks. SIGMOD Conference 2019: 1117-1134 - [i25]Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid:
VideoBERT: A Joint Model for Video and Language Representation Learning. CoRR abs/1904.01766 (2019) - [i24]Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid:
Relational Action Forecasting. CoRR abs/1904.04231 (2019) - [i23]Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray:
Metric Learning for Adversarial Robustness. CoRR abs/1909.00900 (2019) - [i22]Boyuan Chen, Shuran Song, Hod Lipson, Carl Vondrick:
Visual Hide and Seek. CoRR abs/1910.07882 (2019) - [i21]Dave Epstein, Boyuan Chen, Carl Vondrick:
Oops! Predicting Unintentional Action in Video. CoRR abs/1911.11206 (2019) - [i20]Dídac Surís, Dave Epstein, Heng Ji, Shih-Fu Chang, Carl Vondrick:
Learning to Learn Words from Narrated Video. CoRR abs/1911.11237 (2019) - 2018
- [j4]Yusuf Aytar, Lluís Castrejón, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Cross-Modal Scene Networks. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2303-2314 (2018) - [c20]Chunhui Gu, Chen Sun, David A. Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik:
AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions. CVPR 2018: 6047-6056 - [c19]Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid:
Actor-Centric Relation Network. ECCV (11) 2018: 335-351 - [c18]Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy:
Tracking Emerges by Colorizing Videos. ECCV (13) 2018: 402-419 - [c17]Hang Zhao, Chuang Gan, Andrew Rouditchenko, Carl Vondrick, Josh H. McDermott, Antonio Torralba:
The Sound of Pixels. ECCV (1) 2018: 587-604 - [i19]Mathew Monfort, Bolei Zhou, Sarah Adel Bargal, Alex Andonian, Tom Yan, Kandan Ramakrishnan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund, Carl Vondrick, Aude Oliva:
Moments in Time Dataset: one million videos for event understanding. CoRR abs/1801.03150 (2018) - [i18]Hang Zhao, Chuang Gan, Andrew Rouditchenko, Carl Vondrick, Josh H. McDermott, Antonio Torralba:
The Sound of Pixels. CoRR abs/1804.03160 (2018) - [i17]Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy:
Tracking Emerges by Colorizing Videos. CoRR abs/1806.09594 (2018) - [i16]Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid:
Actor-Centric Relation Network. CoRR abs/1807.10982 (2018) - [i15]Thibault Sellam, Kevin Lin, Ian Yiran Huang, Michelle Yang, Carl Vondrick, Eugene Wu:
DeepBase: Deep Inspection of Neural Networks. CoRR abs/1808.04486 (2018) - [i14]Hassan Akbari, Svebor Karaman, Surabhi Bhargava, Brian Chen, Carl Vondrick, Shih-Fu Chang:
Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding. CoRR abs/1811.11683 (2018) - 2017
- [b1]Carl Vondrick:
Predictive vision. Massachusetts Institute of Technology, Cambridge, USA, 2017 - [c16]Carl Vondrick, Antonio Torralba:
Generating the Future with Adversarial Transformers. CVPR 2017: 2992-3000 - [c15]Adrià Recasens, Carl Vondrick, Aditya Khosla, Antonio Torralba:
Following Gaze in Video. ICCV 2017: 1444-1452 - [i13]Yusuf Aytar, Carl Vondrick, Antonio Torralba:
See, Hear, and Read: Deep Aligned Representations. CoRR abs/1706.00932 (2017) - 2016
- [j3]Xiangxin Zhu, Carl Vondrick, Charless C. Fowlkes, Deva Ramanan:
Do We Need More Training Data? Int. J. Comput. Vis. 119(1): 76-92 (2016) - [j2]Carl Vondrick, Aditya Khosla, Hamed Pirsiavash, Tomasz Malisiewicz, Antonio Torralba:
Visualizing Object Detection Features. Int. J. Comput. Vis. 119(2): 145-158 (2016) - [c14]Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Anticipating Visual Representations from Unlabeled Video. CVPR 2016: 98-106 - [c13]Lluís Castrejón, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Learning Aligned Cross-Modal Representations from Weakly Aligned Data. CVPR 2016: 2940-2949 - [c12]Carl Vondrick, Deniz Oktay, Hamed Pirsiavash, Antonio Torralba:
Predicting Motivations of Actions by Leveraging Text. CVPR 2016: 2997-3005 - [c11]Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Generating Videos with Scene Dynamics. NIPS 2016: 613-621 - [c10]Yusuf Aytar, Carl Vondrick, Antonio Torralba:
SoundNet: Learning Sound Representations from Unlabeled Video. NIPS 2016: 892-900 - [i12]Lluís Castrejón, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Learning Aligned Cross-Modal Representations from Weakly Aligned Data. CoRR abs/1607.07295 (2016) - [i11]Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Generating Videos with Scene Dynamics. CoRR abs/1609.02612 (2016) - [i10]Yusuf Aytar, Carl Vondrick, Antonio Torralba:
SoundNet: Learning Sound Representations from Unlabeled Video. CoRR abs/1610.09001 (2016) - [i9]Yusuf Aytar, Lluís Castrejón, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Cross-Modal Scene Networks. CoRR abs/1610.09003 (2016) - [i8]Benjamin Eysenbach, Carl Vondrick, Antonio Torralba:
Who is Mistaken? CoRR abs/1612.01175 (2016) - [i7]Adrià Recasens, Carl Vondrick, Aditya Khosla, Antonio Torralba:
Following Gaze Across Views. CoRR abs/1612.03094 (2016) - 2015
- [c9]Adrià Recasens, Aditya Khosla, Carl Vondrick, Antonio Torralba:
Where are they looking? NIPS 2015: 199-207 - [c8]Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba:
Learning visual biases from human imagination. NIPS 2015: 289-297 - [i6]Carl Vondrick, Aditya Khosla, Hamed Pirsiavash, Tomasz Malisiewicz, Antonio Torralba:
Visualizing Object Detection Features. CoRR abs/1502.05461 (2015) - [i5]Xiangxin Zhu, Carl Vondrick, Charless C. Fowlkes, Deva Ramanan:
Do We Need More Training Data? CoRR abs/1503.01508 (2015) - [i4]Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Anticipating the future by watching unlabeled video. CoRR abs/1504.08023 (2015) - 2014
- [c7]Hamed Pirsiavash, Carl Vondrick, Antonio Torralba:
Assessing the Quality of Actions. ECCV (6) 2014: 556-571 - [i3]Hamed Pirsiavash, Carl Vondrick, Antonio Torralba:
Inferring the Why in Images. CoRR abs/1406.5472 (2014) - [i2]Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba:
Acquiring Visual Classifiers from Human Imagination. CoRR abs/1410.4627 (2014) - 2013
- [j1]Carl Vondrick, Donald J. Patterson, Deva Ramanan:
Efficiently Scaling up Crowdsourced Video Annotation - A Set of Best Practices for High Quality, Economical Video Labeling. Int. J. Comput. Vis. 101(1): 184-204 (2013) - [c6]Carl Vondrick, Aditya Khosla, Tomasz Malisiewicz, Antonio Torralba:
HOGgles: Visualizing Object Detection Features. ICCV 2013: 1-8 - 2012
- [c5]Xiangxin Zhu, Carl Vondrick, Deva Ramanan, Charless C. Fowlkes:
Do We Need More Training Data or Better Models for Object Detection?. BMVC 2012: 1-11 - [i1]Carl Vondrick, Aditya Khosla, Tomasz Malisiewicz, Antonio Torralba:
Inverting and Visualizing Features for Object Detection. CoRR abs/1212.2278 (2012) - 2011
- [c4]Sangmin Oh, Anthony Hoogs, A. G. Amitha Perera, Naresh P. Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, J. K. Aggarwal, Hyungtae Lee, Larry S. Davis, Eran Swears, Xiaoyang Wang, Qiang Ji, Kishore K. Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit K. Roy-Chowdhury, Mita Desai:
AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video. AVSS 2011: 527-528 - [c3]Sangmin Oh, Anthony Hoogs, A. G. Amitha Perera, Naresh P. Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, J. K. Aggarwal, Hyungtae Lee, Larry S. Davis, Eran Swears, Xiaoyang Wang, Qiang Ji, Kishore K. Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit K. Roy-Chowdhury, Mita Desai:
A large-scale benchmark dataset for event recognition in surveillance video. CVPR 2011: 3153-3160 - [c2]Carl Vondrick, Deva Ramanan:
Video Annotation and Tracking with Active Learning. NIPS 2011: 28-36 - 2010
- [c1]Carl Vondrick, Deva Ramanan, Donald J. Patterson:
Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces. ECCV (4) 2010: 610-623
Coauthor Index
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