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ORCIDJitendra Malik
Person information
- affiliation: University of California, Berkeley, USA
- award (2016): ACM - AAAI Allen Newell Award
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2020 – today
- 2024
[j52]Ilija Radosavovic
, Tete Xiao, Bike Zhang, Trevor Darrell, Jitendra Malik, Koushil Sreenath:
Real-world humanoid locomotion with reinforcement learning. Sci. Robotics 9(89) (2024)- [c271]Georgios Pavlakos, Dandan Shan, Ilija Radosavovic, Angjoo Kanazawa, David Fouhey, Jitendra Malik:
Reconstructing Hands in 3D with Transformers. CVPR 2024: 9826-9836 - [c270]Chen Zhao, Shuming Liu, Karttikeya Mangalam, Guocheng Qian, Fatimah Zohra, Abdulmohsen Alghannam, Jitendra Malik, Bernard Ghanem:
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning. CVPR 2024: 15835-15844 - [c269]Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbeláez, Gedas Bertasius, Dima Damen, Jakob Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard A. Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shout, Michael Wray:
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CVPR 2024: 19383-19400 - [c268]Yutong Bai, Xinyang Geng, Karttikeya Mangalam, Amir Bar, Alan L. Yuille, Trevor Darrell, Jitendra Malik, Alexei A. Efros:
Sequential Modeling Enables Scalable Learning for Large Vision Models. CVPR 2024: 22861-22872 - [c267]Neerja Thakkar, Karttikeya Mangalam, Andrea Bajcsy, Jitendra Malik:
Adaptive Human Trajectory Prediction via Latent Corridors. ECCV (38) 2024: 297-314 - [c266]Xavier Puig, Eric Undersander, Andrew Szot, Mikael Dallaire Cote, Tsung-Yen Yang, Ruslan Partsey, Ruta Desai, Alexander Clegg, Michal Hlavac, So Yeon Min, Vladimir Vondrus, Théophile Gervet, Vincent-Pierre Berges, John M. Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrishnan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Akshara Rai, Roozbeh Mottaghi:
Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots. ICLR 2024 - [c265]Thomas Tian, Chenfeng Xu, Masayoshi Tomizuka, Jitendra Malik, Andrea Bajcsy:
What Matters to You? Towards Visual Representation Alignment for Robot Learning. ICLR 2024 - [c264]Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam:
xT: Nested Tokenization for Larger Context in Large Images. ICML 2024 - [c263]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 - [c262]Andrea Bajcsy, Antonio Loquercio, Ashish Kumar, Jitendra Malik:
Learning Vision-based Pursuit-Evasion Robot Policies. ICRA 2024: 9197-9204 - [c261]Huang Huang, Antonio Loquercio, Ashish Kumar, Neerja Thakkar, Ken Goldberg, Jitendra Malik:
Manipulator as a Tail: Promoting Dynamic Stability for Legged Locomotion. ICRA 2024: 9712-9719 - [c260]Jordan Lekeufack, Anastasios N. Angelopoulos, Andrea Bajcsy, Michael I. Jordan, Jitendra Malik:
Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions. ICRA 2024: 11668-11675 - [c259]Huang Huang, Satvik Sharma, Antonio Loquercio, Anastasios Angelopoulos, Ken Goldberg, Jitendra Malik:
Conformal Policy Learning for Sensorimotor Control under Distribution Shifts. ICRA 2024: 16285-16291 - [c258]Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein:
Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction. NAACL-HLT (Findings) 2024: 1113-1123 - [i185]Chen Zhao, Shuming Liu, Karttikeya Mangalam, Guocheng Qian, Fatimah Zohra, Abdulmohsen Alghannam, Jitendra Malik, Bernard Ghanem:
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning. CoRR abs/2401.04105 (2024) - [i184]Boyi Li, Jathushan Rajasegaran, Yossi Gandelsman, Alexei A. Efros, Jitendra Malik:
Synthesizing Moving People with 3D Control. CoRR abs/2401.10889 (2024) - [i183]Ilija Radosavovic, Bike Zhang, Baifeng Shi, Jathushan Rajasegaran, Sarthak Kamat, Trevor Darrell, Koushil Sreenath, Jitendra Malik:
Humanoid Locomotion as Next Token Prediction. CoRR abs/2402.19469 (2024) - [i182]Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam:
xT: Nested Tokenization for Larger Context in Large Images. CoRR abs/2403.01915 (2024) - [i181]Toru Lin, Zhao-Heng Yin, Haozhi Qi, Pieter Abbeel, Jitendra Malik:
Twisting Lids Off with Two Hands. CoRR abs/2403.02338 (2024) - [i180]Pierre Boyeau, Anastasios N. Angelopoulos, Nir Yosef, Jitendra Malik, Michael I. Jordan:
AutoEval Done Right: Using Synthetic Data for Model Evaluation. CoRR abs/2403.07008 (2024) - [i179]Jane Wu, Georgios Pavlakos, Georgia Gkioxari, Jitendra Malik:
Reconstructing Hand-Held Objects in 3D. CoRR abs/2404.06507 (2024) - [i178]Toru Lin, Yu Zhang, Qiyang Li, Haozhi Qi, Brent Yi, Sergey Levine, Jitendra Malik:
Learning Visuotactile Skills with Two Multifingered Hands. CoRR abs/2404.16823 (2024) - [i177]Jessica Yin, Haozhi Qi, Jitendra Malik, James H. Pikul, Mark Yim, Tess Lee Hellebrekers:
Learning In-Hand Translation Using Tactile Skin With Shear and Normal Force Sensing. CoRR abs/2407.07885 (2024) - [i176]Jun Wang, Ying Yuan, Haichuan Che, Haozhi Qi, Yi Ma, Jitendra Malik, Xiaolong Wang:
Lessons from Learning to Spin "Pens". CoRR abs/2407.18902 (2024) - [i175]Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone:
Wolf: Captioning Everything with a World Summarization Framework. CoRR abs/2407.18908 (2024) - [i174]Vongani H. Maluleke, Lea Müller, Jathushan Rajasegaran, Georgios Pavlakos, Shiry Ginosar, Angjoo Kanazawa, Jitendra Malik:
Synergy and Synchrony in Couple Dances. CoRR abs/2409.04440 (2024) - [i173]Himanshu Gaurav Singh, Antonio Loquercio, Carmelo Sferrazza, Jane Wu, Haozhi Qi, Pieter Abbeel, Jitendra Malik:
Hand-Object Interaction Pretraining from Videos. CoRR abs/2409.08273 (2024) - [i172]Dingqi Zhang, Antonio Loquercio, Jerry Tang, Ting-Hao Wang, Jitendra Malik, Mark W. Mueller:
A Learning-based Quadcopter Controller with Extreme Adaptation. CoRR abs/2409.12949 (2024) - 2023
- [j51]Théophile Gervet, Soumith Chintala, Dhruv Batra, Jitendra Malik, Devendra Singh Chaplot:
Navigating to objects in the real world. Sci. Robotics 8(79) (2023) - [c257]Ilija Radosavovic, Baifeng Shi, Letian Fu, Ken Goldberg, Trevor Darrell, Jitendra Malik:
Robot Learning with Sensorimotor Pre-training. CoRL 2023: 683-693 - [c256]Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik:
General In-hand Object Rotation with Vision and Touch. CoRL 2023: 2549-2564 - [c255]Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Christoph Feichtenhofer, Jitendra Malik:
On the Benefits of 3D Pose and Tracking for Human Action Recognition. CVPR 2023: 640-649 - [c254]Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari:
Multiview Compressive Coding for 3D Reconstruction. CVPR 2023: 9065-9075 - [c253]Vickie Ye, Georgios Pavlakos, Jitendra Malik, Angjoo Kanazawa:
Decoupling Human and Camera Motion from Videos in the Wild. CVPR 2023: 21222-21232 - [c252]Jacob Krantz, Théophile Gervet, Karmesh Yadav, Austin S. Wang, Chris Paxton, Roozbeh Mottaghi, Dhruv Batra, Jitendra Malik, Stefan Lee, Devendra Singh Chaplot:
Navigating to Objects Specified by Images. ICCV 2023: 10882-10891 - [c251]Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, Jitendra Malik:
Humans in 4D: Reconstructing and Tracking Humans with Transformers. ICCV 2023: 14737-14748 - [c250]Jiayuan Gu, Devendra Singh Chaplot, Hao Su, Jitendra Malik:
Multi-skill Mobile Manipulation for Object Rearrangement. ICLR 2023 - [c249]Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer:
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. ICML 2023: 29441-29454 - [c248]Dingqi Zhang, Antonio Loquercio, Xiangyu Wu, Ashish Kumar, Jitendra Malik, Mark W. Mueller:
Learning a Single Near-hover Position Controller for Vastly Different Quadcopters. ICRA 2023: 1263-1269 - [c247]Antonio Loquercio, Ashish Kumar, Jitendra Malik:
Learning Visual Locomotion with Cross-Modal Supervision. ICRA 2023: 7295-7302 - [c246]Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer:
MAViL: Masked Audio-Video Learners. NeurIPS 2023 - [c245]Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer:
Speculative Decoding with Big Little Decoder. NeurIPS 2023 - [c244]Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Tingfan Wu, Jay Vakil, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier:
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? NeurIPS 2023 - [c243]Karttikeya Mangalam, Raiymbek Akshulakov, Jitendra Malik:
EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding. NeurIPS 2023 - [i171]Jasmine Collins, Anqi Liang, Jitendra Malik, Hao Zhang, Frédéric Devernay:
CA2T-Net: Category-Agnostic 3D Articulation Transfer from Single Image. CoRR abs/2301.02232 (2023) - [i170]Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari:
Multiview Compressive Coding for 3D Reconstruction. CoRR abs/2301.08247 (2023) - [i169]Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik:
Reversible Vision Transformers. CoRR abs/2302.04869 (2023) - [i168]Sehoon Kim, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer:
Big Little Transformer Decoder. CoRR abs/2302.07863 (2023) - [i167]Vickie Ye, Georgios Pavlakos, Jitendra Malik, Angjoo Kanazawa:
Decoupling Human and Camera Motion from Videos in the Wild. CoRR abs/2302.12827 (2023) - [i166]Ilija Radosavovic, Tete Xiao, Bike Zhang, Trevor Darrell, Jitendra Malik, Koushil Sreenath:
Learning Humanoid Locomotion with Transformers. CoRR abs/2303.03381 (2023) - [i165]Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier:
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? CoRR abs/2303.18240 (2023) - [i164]Jacob Krantz, Théophile Gervet, Karmesh Yadav, Austin S. Wang, Chris Paxton, Roozbeh Mottaghi, Dhruv Batra, Jitendra Malik, Stefan Lee, Devendra Singh Chaplot:
Navigating to Objects Specified by Images. CoRR abs/2304.01192 (2023) - [i163]Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Christoph Feichtenhofer, Jitendra Malik:
On the Benefits of 3D Pose and Tracking for Human Action Recognition. CoRR abs/2304.01199 (2023) - [i162]Huang Huang, Antonio Loquercio, Ashish Kumar, Neerja Thakkar, Ken Goldberg, Jitendra Malik:
More Than an Arm: Using a Manipulator as a Tail for Enhanced Stability in Legged Locomotion. CoRR abs/2305.01648 (2023) - [i161]Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, Jitendra Malik:
Humans in 4D: Reconstructing and Tracking Humans with Transformers. CoRR abs/2305.20091 (2023) - [i160]Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer:
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. CoRR abs/2306.00989 (2023) - [i159]Ilija Radosavovic, Baifeng Shi, Letian Fu, Ken Goldberg, Trevor Darrell, Jitendra Malik:
Robot Learning with Sensorimotor Pre-training. CoRR abs/2306.10007 (2023) - [i158]Du Tran, Jitendra Malik:
Learning Space-Time Semantic Correspondences. CoRR abs/2306.10208 (2023) - [i157]Karttikeya Mangalam, Raiymbek Akshulakov, Jitendra Malik:
EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding. CoRR abs/2308.09126 (2023) - [i156]Andrea Bajcsy, Antonio Loquercio, Ashish Kumar, Jitendra Malik:
Learning Vision-based Pursuit-Evasion Robot Policies. CoRR abs/2308.16185 (2023) - [i155]Haozhi Qi, Brent Yi, Sudharshan Suresh, Mike Lambeta, Yi Ma, Roberto Calandra, Jitendra Malik:
General In-Hand Object Rotation with Vision and Touch. CoRR abs/2309.09979 (2023) - [i154]Jordan Lekeufack, Anastasios N. Angelopoulos, Andrea Bajcsy, Michael I. Jordan, Jitendra Malik:
Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions. CoRR abs/2310.05921 (2023) - [i153]Ran Tian, Chenfeng Xu, Masayoshi Tomizuka, Jitendra Malik, Andrea Bajcsy:
What Matters to You? Towards Visual Representation Alignment for Robot Learning. CoRR abs/2310.07932 (2023) - [i152]Boyi Li, Philipp Wu, Pieter Abbeel, Jitendra Malik:
Interactive Task Planning with Language Models. CoRR abs/2310.10645 (2023) - [i151]Xavier Puig, Eric Undersander, Andrew Szot, Mikael Dallaire Cote, Tsung-Yen Yang, Ruslan Partsey, Ruta Desai, Alexander William Clegg, Michal Hlavac, So Yeon Min, Vladimir Vondrus, Théophile Gervet, Vincent-Pierre Berges, John M. Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrishnan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Akshara Rai, Roozbeh Mottaghi:
Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots. CoRR abs/2310.13724 (2023) - [i150]Huang Huang, Satvik Sharma, Antonio Loquercio, Anastasios Angelopoulos, Ken Goldberg, Jitendra Malik:
Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts. CoRR abs/2311.01457 (2023) - [i149]Matthew Chang, Théophile Gervet, Mukul Khanna, Sriram Yenamandra, Dhruv Shah, So Yeon Min, Kavit Shah, Chris Paxton, Saurabh Gupta, Dhruv Batra, Roozbeh Mottaghi, Jitendra Malik, Devendra Singh Chaplot:
GOAT: GO to Any Thing. CoRR abs/2311.06430 (2023) - [i148]Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, et al.:
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CoRR abs/2311.18259 (2023) - [i147]Yutong Bai, Xinyang Geng, Karttikeya Mangalam, Amir Bar, Alan L. Yuille, Trevor Darrell, Jitendra Malik, Alexei A. Efros:
Sequential Modeling Enables Scalable Learning for Large Vision Models. CoRR abs/2312.00785 (2023) - [i146]Georgios Pavlakos, Dandan Shan, Ilija Radosavovic, Angjoo Kanazawa, David Fouhey, Jitendra Malik:
Reconstructing Hands in 3D with Transformers. CoRR abs/2312.05251 (2023) - [i145]Neerja Thakkar, Karttikeya Mangalam, Andrea Bajcsy, Jitendra Malik:
Adaptive Human Trajectory Prediction via Latent Corridors. CoRR abs/2312.06653 (2023) - [i144]Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joseph Ortiz, Mustafa Mukadam:
Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation. CoRR abs/2312.13469 (2023) - 2022
- [j50]Shubham Tulsiani, Tinghui Zhou, Alexei A. Efros, Jitendra Malik:
Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8754-8765 (2022) - [c242]Ananye Agarwal, Ashish Kumar, Jitendra Malik, Deepak Pathak:
Legged Locomotion in Challenging Terrains using Egocentric Vision. CoRL 2022: 403-415 - [c241]Ilija Radosavovic, Tete Xiao, Stephen James, Pieter Abbeel, Jitendra Malik, Trevor Darrell:
Real-World Robot Learning with Masked Visual Pre-training. CoRL 2022: 416-426 - [c240]Haozhi Qi, Ashish Kumar, Roberto Calandra, Yi Ma, Jitendra Malik:
In-Hand Object Rotation via Rapid Motor Adaptation. CoRL 2022: 1722-1732 - [c239]Georgios Pavlakos, Jitendra Malik, Angjoo Kanazawa:
Human Mesh Recovery from Multiple Shots. CVPR 2022: 1475-1485 - [c238]Zipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak:
Coupling Vision and Proprioception for Navigation of Legged Robots. CVPR Workshops 2022: 1894-1904 - [c237]Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik:
Tracking People by Predicting 3D Appearance, Location and Pose. CVPR 2022: 2730-2739 - [c236]Weiyao Wang, Matt Feiszli, Heng Wang, Jitendra Malik, Du Tran:
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity. CVPR 2022: 4412-4422 - [c235]Zipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak:
Coupling Vision and Proprioception for Navigation of Legged Robots. CVPR Workshops 2022: 4620-4630 - [c234]Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer:
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection. CVPR 2022: 4794-4804 - [c233]Shubham Goel, Georgia Gkioxari, Jitendra Malik:
Differentiable Stereopsis: Meshes from multiple views using differentiable rendering. CVPR 2022: 8625-8634 - [c232]Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik:
Reversible Vision Transformers. CVPR 2022: 10820-10830 - [c231]Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer:
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition. CVPR 2022: 13577-13587 - [c230]Zipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak:
Coupling Vision and Proprioception for Navigation of Legged Robots. CVPR 2022: 17252-17262 - [c229]Santhosh Kumar Ramakrishnan, Devendra Singh Chaplot, Ziad Al-Halah, Jitendra Malik, Kristen Grauman:
PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning. CVPR 2022: 18868-18878 - [c228]Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR 2022: 18973-18990 - [c227]Jasmine Collins, Shubham Goel, Kenan Deng, Achleshwar Luthra, Leon Xu, Erhan Gundogdu, Xi Zhang, Tomas F. Yago Vicente, Thomas Dideriksen, Himanshu Arora, Matthieu Guillaumin, Jitendra Malik:
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding. CVPR 2022: 21094-21104 - [c226]Anastasios N. Angelopoulos, Amit Pal Singh Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano:
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging. ICML 2022: 717-730 - [c225]Ashish Kumar, Zhongyu Li, Jun Zeng, Deepak Pathak, Koushil Sreenath, Jitendra Malik:
Adapting Rapid Motor Adaptation for Bipedal Robots. IROS 2022: 1161-1168 - [c224]Sehoon Kim, Amir Gholami, Albert E. Shaw, Nicholas Lee, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Kurt Keutzer:
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition. NeurIPS 2022 - [i143]Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer:
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition. CoRR abs/2201.08383 (2022) - [i142]Santhosh Kumar Ramakrishnan, Devendra Singh Chaplot, Ziad Al-Halah, Jitendra Malik, Kristen Grauman:
PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning. CoRR abs/2201.10029 (2022) - [i141]Anastasios N. Angelopoulos, Amit P. S. Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano:
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging. CoRR abs/2202.05265 (2022) - [i140]Tete Xiao, Ilija Radosavovic, Trevor Darrell, Jitendra Malik:
Masked Visual Pre-training for Motor Control. CoRR abs/2203.06173 (2022) - [i139]Weiyao Wang, Matt Feiszli, Heng Wang, Jitendra Malik, Du Tran:
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity. CoRR abs/2204.06107 (2022) - [i138]Ashish Kumar, Zhongyu Li, Jun Zeng, Deepak Pathak, Koushil Sreenath, Jitendra Malik:
Adapting Rapid Motor Adaptation for Bipedal Robots. CoRR abs/2205.15299 (2022) - [i137]Sehoon Kim, Amir Gholami, Albert E. Shaw, Nicholas Lee, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Kurt Keutzer:
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition. CoRR abs/2206.00888 (2022) - [i136]Jiayuan Gu, Devendra Singh Chaplot, Hao Su, Jitendra Malik:
Multi-skill Mobile Manipulation for Object Rearrangement. CoRR abs/2209.02778 (2022) - [i135]Dingqi Zhang, Antonio Loquercio, Xiangyu Wu, Ashish Kumar, Jitendra Malik, Mark W. Mueller:
A Zero-Shot Adaptive Quadcopter Controller. CoRR abs/2209.09232 (2022) - [i134]William S. Peebles, Ilija Radosavovic, Tim Brooks, Alexei A. Efros, Jitendra Malik:
Learning to Learn with Generative Models of Neural Network Checkpoints. CoRR abs/2209.12892 (2022) - [i133]Ilija Radosavovic, Tete Xiao, Stephen James, Pieter Abbeel, Jitendra Malik, Trevor Darrell:
Real-World Robot Learning with Masked Visual Pre-training. CoRR abs/2210.03109 (2022) - [i132]Haozhi Qi, Ashish Kumar, Roberto Calandra, Yi Ma, Jitendra Malik:
In-Hand Object Rotation via Rapid Motor Adaptation. CoRR abs/2210.04887 (2022) - [i131]Antonio Loquercio, Ashish Kumar, Jitendra Malik:
Learning Visual Locomotion with Cross-Modal Supervision. CoRR abs/2211.03785 (2022) - [i130]Ananye Agarwal, Ashish Kumar, Jitendra Malik, Deepak Pathak:
Legged Locomotion in Challenging Terrains using Egocentric Vision. CoRR abs/2211.07638 (2022) - [i129]Austin Patel, Andrew Wang, Ilija Radosavovic, Jitendra Malik:
Learning to Imitate Object Interactions from Internet Videos. CoRR abs/2211.13225 (2022) - [i128]Jacob Krantz, Stefan Lee, Jitendra Malik, Dhruv Batra, Devendra Singh Chaplot:
Instance-Specific Image Goal Navigation: Training Embodied Agents to Find Object Instances. CoRR abs/2211.15876 (2022) - [i127]Théophile Gervet, Soumith Chintala, Dhruv Batra, Jitendra Malik, Devendra Singh Chaplot:
Navigating to Objects in the Real World. CoRR abs/2212.00922 (2022) - [i126]Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer:
MAViL: Masked Audio-Video Learners. CoRR abs/2212.08071 (2022) - [i125]Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein:
Does unsupervised grammar induction need pixels? CoRR abs/2212.10564 (2022) - 2021
- [j49]Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik, Michael I. Jordan:
Distribution-free, Risk-controlling Prediction Sets. J. ACM 68(6): 43:1-43:34 (2021) - [c223]Zipeng Fu, Ashish Kumar, Jitendra Malik, Deepak Pathak:
Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots. CoRL 2021: 928-937 - [c222]Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer:
Multiscale Vision Transformers. ICCV 2021: 6804-6815 - [c221]Ainaz Eftekhar, Alexander Sax, Jitendra Malik, Amir Zamir:
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans. ICCV 2021: 10766-10776 - [c220]Zhe Cao, Ilija Radosavovic, Angjoo Kanazawa, Jitendra Malik:
Reconstructing Hand-Object Interactions in the Wild. ICCV 2021: 12397-12406 - [c219]Karttikeya Mangalam, Yang An, Harshayu Girase, Jitendra Malik:
From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting. ICCV 2021: 15213-15222 - [c218]Anastasios Nikolas Angelopoulos, Stephen Bates, Michael I. Jordan, Jitendra Malik:
Uncertainty Sets for Image Classifiers using Conformal Prediction. ICLR 2021 - [c217]Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik:
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks. ICLR 2021 - [c216]Devendra Singh Chaplot, Deepak Pathak, Jitendra Malik:
Differentiable Spatial Planning using Transformers. ICML 2021: 1484-1495 - [c215]Ilija Radosavovic, Xiaolong Wang, Lerrel Pinto, Jitendra Malik:
State-Only Imitation Learning for Dexterous Manipulation. IROS 2021: 7865-7871 - [c214]Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer:
PyTorchVideo: A Deep Learning Library for Video Understanding. ACM Multimedia 2021: 3783-3786 - [c213]Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John M. Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel X. Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra:
Habitat 2.0: Training Home Assistants to Rearrange their Habitat. NeurIPS 2021: 251-266 - [c212]Devendra Singh Chaplot, Murtaza Dalal, Saurabh Gupta, Jitendra Malik, Ruslan Salakhutdinov:
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency. NeurIPS 2021: 13086-13098 - [c211]Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero-Soriano, Michal Drozdzal:
Active 3D Shape Reconstruction from Vision and Touch. NeurIPS 2021: 16064-16078 - [c210]Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik:
Tracking People with 3D Representations. NeurIPS 2021: 23703-23713 - [c209]Ashish Kumar, Zipeng Fu, Deepak Pathak, Jitendra Malik:
RMA: Rapid Motor Adaptation for Legged Robots. Robotics: Science and Systems 2021 - [i124]Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik, Michael I. Jordan:
Distribution-Free, Risk-Controlling Prediction Sets. CoRR abs/2101.02703 (2021) - [i123]Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer:
Multiscale Vision Transformers. CoRR abs/2104.11227 (2021) - [i122]Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John M. Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel X. Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra:
Habitat 2.0: Training Home Assistants to Rearrange their Habitat. CoRR abs/2106.14405 (2021) - [i121]Ashish Kumar, Zipeng Fu, Deepak Pathak, Jitendra Malik:
RMA: Rapid Motor Adaptation for Legged Robots. CoRR abs/2107.04034 (2021) - [i120]Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal:
Active 3D Shape Reconstruction from Vision and Touch. CoRR abs/2107.09584 (2021) - [i119]Ainaz Eftekhar, Alexander Sax, Roman Bachmann, Jitendra Malik, Amir Zamir:
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans. CoRR abs/2110.04994 (2021) - [i118]Shubham Goel, Georgia Gkioxari, Jitendra Malik:
Differentiable Stereopsis: Meshes from multiple views using differentiable rendering. CoRR abs/2110.05472 (2021) - [i117]Jasmine Collins, Shubham Goel, Achleshwar Luthra, Leon Xu, Kenan Deng, Xi Zhang, Tomas F. Yago Vicente, Himanshu Arora, Thomas Dideriksen, Matthieu Guillaumin, Jitendra Malik:
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding. CoRR abs/2110.06199 (2021) - [i116]Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR abs/2110.07058 (2021) - [i115]Zipeng Fu, Ashish Kumar, Jitendra Malik, Deepak Pathak:
Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots. CoRR abs/2111.01674 (2021) - [i114]Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik:
Tracking People with 3D Representations. CoRR abs/2111.07868 (2021) - [i113]Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer:
PyTorchVideo: A Deep Learning Library for Video Understanding. CoRR abs/2111.09887 (2021) - [i112]Devendra Singh Chaplot, Murtaza Dalal, Saurabh Gupta, Jitendra Malik, Ruslan Salakhutdinov:
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency. CoRR abs/2112.01001 (2021) - [i111]Devendra Singh Chaplot, Deepak Pathak, Jitendra Malik:
Differentiable Spatial Planning using Transformers. CoRR abs/2112.01010 (2021) - [i110]Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer:
Improved Multiscale Vision Transformers for Classification and Detection. CoRR abs/2112.01526 (2021) - [i109]Zipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak:
Coupling Vision and Proprioception for Navigation of Legged Robots. CoRR abs/2112.02094 (2021) - [i108]Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik:
Tracking People by Predicting 3D Appearance, Location & Pose. CoRR abs/2112.04477 (2021) - 2020
- [j48]Saurabh Gupta, Varun Tolani, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik:
Cognitive Mapping and Planning for Visual Navigation. Int. J. Comput. Vis. 128(5): 1311-1330 (2020) - [j47]Ke Li, Shichong Peng, Tianhao Zhang, Jitendra Malik:
Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation. Int. J. Comput. Vis. 128(10): 2607-2628 (2020) - [j46]Christian Häne, Shubham Tulsiani, Jitendra Malik:
Hierarchical Surface Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1348-1361 (2020) - [c208]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 - [c207]Amir R. Zamir, Alexander Sax, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas:
Robust Learning Through Cross-Task Consistency. CVPR 2020: 11194-11203 - [c206]Jason Y. Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, Angjoo Kanazawa:
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild. ECCV (12) 2020: 34-51 - [c205]Shubham Goel, Angjoo Kanazawa, Jitendra Malik:
Shape and Viewpoint Without Keypoints. ECCV (15) 2020: 88-104 - [c204]Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz:
Inclusive GAN: Improving Data and Minority Coverage in Generative Models. ECCV (22) 2020: 377-393 - [c203]Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, Jitendra Malik:
Long-Term Human Motion Prediction with Scene Context. ECCV (1) 2020: 387-404 - [c202]Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas J. Guibas, Jitendra Malik:
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks. ECCV (3) 2020: 698-714 - [c201]Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon:
It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction. ECCV (2) 2020: 759-776 - [c200]Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik:
Deep Isometric Learning for Visual Recognition. ICML 2020: 7824-7835 - [c199]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 - [c198]Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal:
3D Shape Reconstruction from Vision and Touch. NeurIPS 2020 - [i107]Fanyi Xiao, Yong Jae Lee, Kristen Grauman, Jitendra Malik, Christoph Feichtenhofer:
Audiovisual SlowFast Networks for Video Recognition. CoRR abs/2001.08740 (2020) - [i106]Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon:
It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction. CoRR abs/2004.02025 (2020) - [i105]Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz:
Inclusive GAN: Improving Data and Minority Coverage in Generative Models. CoRR abs/2004.03355 (2020) - [i104]Ke Li, Shichong Peng, Tianhao Zhang, Jitendra Malik:
Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation. CoRR abs/2004.03590 (2020) - [i103]Ilija Radosavovic, Xiaolong Wang, Lerrel Pinto, Jitendra Malik:
State-Only Imitation Learning for Dexterous Manipulation. CoRR abs/2004.04650 (2020) - [i102]Amir R. Zamir, Alexander Sax, Teresa Yeo, Oguzhan Fatih Kar, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas:
Robust Learning Through Cross-Task Consistency. CoRR abs/2006.04096 (2020) - [i101]Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik:
Deep Isometric Learning for Visual Recognition. CoRR abs/2006.16992 (2020) - [i100]Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, Jitendra Malik:
Long-term Human Motion Prediction with Scene Context. CoRR abs/2007.03672 (2020) - [i99]Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal:
3D Shape Reconstruction from Vision and Touch. CoRR abs/2007.03778 (2020) - [i98]Shubham Goel, Angjoo Kanazawa, Jitendra Malik:
Shape and Viewpoint without Keypoints. CoRR abs/2007.10982 (2020) - [i97]Jason Y. Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, Angjoo Kanazawa:
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild. CoRR abs/2007.15649 (2020) - [i96]Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik:
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks. CoRR abs/2008.02265 (2020) - [i95]Anastasios Angelopoulos, Stephen Bates, Jitendra Malik, Michael I. Jordan:
Uncertainty Sets for Image Classifiers using Conformal Prediction. CoRR abs/2009.14193 (2020) - [i94]Jonathan T. Barron, Jitendra Malik:
Shape, Illumination, and Reflectance from Shading. CoRR abs/2010.03592 (2020) - [i93]Dhruv Batra, Angel X. Chang, Sonia Chernova, Andrew J. Davison, Jia Deng, Vladlen Koltun, Sergey Levine, Jitendra Malik, Igor Mordatch, Roozbeh Mottaghi, Manolis Savva, Hao Su:
Rearrangement: A Challenge for Embodied AI. CoRR abs/2011.01975 (2020) - [i92]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) - [i91]Ke Li, Shichong Peng, Kailas Vodrahalli, Jitendra Malik:
Better Knowledge Retention through Metric Learning. CoRR abs/2011.13149 (2020) - [i90]Karttikeya Mangalam, Yang An, Harshayu Girase, Jitendra Malik:
From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting. CoRR abs/2012.01526 (2020) - [i89]Georgios Pavlakos, Jitendra Malik, Angjoo Kanazawa:
Human Mesh Recovery from Multiple Shots. CoRR abs/2012.09843 (2020) - [i88]Zhe Cao, Ilija Radosavovic, Angjoo Kanazawa, Jitendra Malik:
Reconstructing Hand-Object Interactions in the Wild. CoRR abs/2012.09856 (2020)
2010 – 2019
- 2019
- [c197]Somil Bansal, Varun Tolani, Saurabh Gupta, Jitendra Malik, Claire J. Tomlin:
Combining Optimal Control and Learning for Visual Navigation in Novel Environments. CoRL 2019: 420-429 - [c196]Ashish Kumar, Saurabh Gupta, Jitendra Malik:
Learning Navigation Subroutines from Egocentric Videos. CoRL 2019: 617-626 - [c195]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 - [c194]Shiry Ginosar, Amir Bar, Gefen Kohavi, Caroline Chan, Andrew Owens, Jitendra Malik:
Learning Individual Styles of Conversational Gesture. CVPR 2019: 3497-3506 - [c193]Zhe Cao, Abhishek Kar, Christian Hane, Jitendra Malik:
Learning Independent Object Motion From Unlabelled Stereoscopic Videos. CVPR 2019: 5594-5603 - [c192]Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, Jitendra Malik:
Learning 3D Human Dynamics From Video. CVPR 2019: 5614-5623 - [c191]Yedid Hoshen, Ke Li, Jitendra Malik:
Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors. CVPR 2019: 5811-5819 - [c190]Ke Li, Tianhao Zhang, Jitendra Malik:
Diverse Image Synthesis From Semantic Layouts via Conditional IMLE. ICCV 2019: 4219-4228 - [c189]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 - [c188]Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He:
SlowFast Networks for Video Recognition. ICCV 2019: 6201-6210 - [c187]Jason Y. Zhang, Panna Felsen, Angjoo Kanazawa, Jitendra Malik:
Predicting 3D Human Dynamics From Video. ICCV 2019: 7113-7122 - [c186]Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin:
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. ICCV 2019: 9206-9215 - [c185]Manolis Savva, Jitendra Malik, Devi Parikh, Dhruv Batra, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun:
Habitat: A Platform for Embodied AI Research. ICCV 2019: 9338-9346 - [c184]Georgia Gkioxari, Justin Johnson, Jitendra Malik:
Mesh R-CNN. ICCV 2019: 9784-9794 - [c183]Amir Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Taskonomy: Disentangling Task Transfer Learning. IJCAI 2019: 6241-6245 - [c182]Ke Li, Tianhao Zhang, Jitendra Malik:
Approximate Feature Collisions in Neural Nets. NeurIPS 2019: 15816-15824 - [i87]Zhe Cao, Abhishek Kar, Christian Häne, Jitendra Malik:
Learning Independent Object Motion from Unlabelled Stereoscopic Videos. CoRR abs/1901.01971 (2019) - [i86]Jianqiao Wangni, Ke Li, Jianbo Shi, Jitendra Malik:
Trajectory Normalized Gradients for Distributed Optimization. CoRR abs/1901.08227 (2019) - [i85]Somil Bansal, Varun Tolani, Saurabh Gupta, Jitendra Malik, Claire J. Tomlin:
Combining Optimal Control and Learning for Visual Navigation in Novel Environments. CoRR abs/1903.02531 (2019) - [i84]Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra:
Habitat: A Platform for Embodied AI Research. CoRR abs/1904.01201 (2019) - [i83]Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin:
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. CoRR abs/1904.03239 (2019) - [i82]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) - [i81]Ashish Kumar, Saurabh Gupta, Jitendra Malik:
Learning Navigation Subroutines by Watching Videos. CoRR abs/1905.12612 (2019) - [i80]Georgia Gkioxari, Jitendra Malik, Justin Johnson:
Mesh R-CNN. CoRR abs/1906.02739 (2019) - [i79]Shiry Ginosar, Amir Bar, Gefen Kohavi, Caroline Chan, Andrew Owens, Jitendra Malik:
Learning Individual Styles of Conversational Gesture. CoRR abs/1906.04160 (2019) - [i78]Jason Y. Zhang, Panna Felsen, Angjoo Kanazawa, Jitendra Malik:
Predicting 3D Human Dynamics from Video. CoRR abs/1908.04781 (2019) - [i77]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) - [i76]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) - [i75]Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas J. Guibas, Jitendra Malik:
Side-Tuning: Network Adaptation via Additive Side Networks. CoRR abs/1912.13503 (2019) - 2018
- [j45]Roberto Calandra, Andrew Owens, Dinesh Jayaraman, Justin Lin, Wenzhen Yuan, Jitendra Malik, Edward H. Adelson, Sergey Levine:
More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch. IEEE Robotics Autom. Lett. 3(4): 3300-3307 (2018) - [j44]Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, Sergey Levine:
SFV: reinforcement learning of physical skills from videos. ACM Trans. Graph. 37(6): 178 (2018) - [c181]Shubham Tulsiani, Saurabh Gupta, David F. Fouhey, Alexei A. Efros, Jitendra Malik:
Factoring Shape, Pose, and Layout From the 2D Image of a 3D Scene. CVPR 2018: 302-310 - [c180]Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik:
Learning Instance Segmentation by Interaction. CVPR Workshops 2018: 2042-2045 - [c179]Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell:
Zero-Shot Visual Imitation. CVPR Workshops 2018: 2050-2053 - [c178]Shubham Tulsiani, Alexei A. Efros, Jitendra Malik:
Multi-View Consistency as Supervisory Signal for Learning Shape and Pose Prediction. CVPR 2018: 2897-2905 - [c177]Amir R. Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Taskonomy: Disentangling Task Transfer Learning. CVPR 2018: 3712-3722 - [c176]David F. Fouhey, Weicheng Kuo, Alexei A. Efros, Jitendra Malik:
From Lifestyle Vlogs to Everyday Interactions. CVPR 2018: 4991-5000 - [c175]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 - [c174]Angjoo Kanazawa, Michael J. Black, David W. Jacobs, Jitendra Malik:
End-to-End Recovery of Human Shape and Pose. CVPR 2018: 7122-7131 - [c173]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 - [c172]Angjoo Kanazawa, Shubham Tulsiani, Alexei A. Efros, Jitendra Malik:
Learning Category-Specific Mesh Reconstruction from Image Collections. ECCV (15) 2018: 386-402 - [c171]Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell:
Zero-Shot Visual Imitation. ICLR 2018 - [c170]Weicheng Kuo, Christian Häne, Esther L. Yuh, Pratik Mukherjee, Jitendra Malik:
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection. MICCAI (3) 2018: 715-723 - [c169]Ashish Kumar, Saurabh Gupta, David F. Fouhey, Sergey Levine, Jitendra Malik:
Visual Memory for Robust Path Following. NeurIPS 2018: 773-782 - [i74]Shubham Tulsiani, Alexei A. Efros, Jitendra Malik:
Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction. CoRR abs/1801.03910 (2018) - [i73]Angjoo Kanazawa, Shubham Tulsiani, Alexei A. Efros, Jitendra Malik:
Learning Category-Specific Mesh Reconstruction from Image Collections. CoRR abs/1803.07549 (2018) - [i72]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) - [i71]Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell:
Zero-Shot Visual Imitation. CoRR abs/1804.08606 (2018) - [i70]Roberto Calandra, Andrew Owens, Dinesh Jayaraman, Justin Lin, Wenzhen Yuan, Jitendra Malik, Edward H. Adelson, Sergey Levine:
More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch. CoRR abs/1805.11085 (2018) - [i69]Weicheng Kuo, Christian Häne, Esther L. Yuh, Pratik Mukherjee, Jitendra Malik:
PatchFCN for Intracranial Hemorrhage Detection. CoRR abs/1806.03265 (2018) - [i68]Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik:
Learning Instance Segmentation by Interaction. CoRR abs/1806.08354 (2018) - [i67]Peter Anderson, Angel X. Chang, Devendra Singh Chaplot, Alexey Dosovitskiy, Saurabh Gupta, Vladlen Koltun, Jana Kosecka, Jitendra Malik, Roozbeh Mottaghi, Manolis Savva, Amir R. Zamir:
On Evaluation of Embodied Navigation Agents. CoRR abs/1807.06757 (2018) - [i66]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) - [i65]Weicheng Kuo, Christian Häne, Esther L. Yuh, Pratik Mukherjee, Jitendra Malik:
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection. CoRR abs/1809.02882 (2018) - [i64]Ke Li, Jitendra Malik:
Implicit Maximum Likelihood Estimation. CoRR abs/1809.09087 (2018) - [i63]Ke Li, Shichong Peng, Jitendra Malik:
Super-Resolution via Conditional Implicit Maximum Likelihood Estimation. CoRR abs/1810.01406 (2018) - [i62]Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, Sergey Levine:
SFV: Reinforcement Learning of Physical Skills from Videos. CoRR abs/1810.03599 (2018) - [i61]Ke Li, Tianhao Zhang, Jitendra Malik:
Diverse Image Synthesis from Semantic Layouts via Conditional IMLE. CoRR abs/1811.12373 (2018) - [i60]Ke Li, Jitendra Malik:
On the Implicit Assumptions of GANs. CoRR abs/1811.12402 (2018) - [i59]Kailas Vodrahalli, Ke Li, Jitendra Malik:
Are All Training Examples Created Equal? An Empirical Study. CoRR abs/1811.12569 (2018) - [i58]Ashish Kumar, Saurabh Gupta, David F. Fouhey, Sergey Levine, Jitendra Malik:
Visual Memory for Robust Path Following. CoRR abs/1812.00940 (2018) - [i57]Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, Jitendra Malik:
Learning 3D Human Dynamics from Video. CoRR abs/1812.01601 (2018) - [i56]Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He:
SlowFast Networks for Video Recognition. CoRR abs/1812.03982 (2018) - [i55]Yedid Hoshen, Jitendra Malik:
Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors. CoRR abs/1812.08985 (2018) - [i54]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
- [j43]Jitendra Malik:
Technical Perspective: What led computer vision to deep learning? Commun. ACM 60(6): 82-83 (2017) - [j42]Ross B. Girshick, Iasonas Kokkinos, Ivan Laptev, Jitendra Malik, George Papandreou, Andrea Vedaldi, Xiaogang Wang, Shuicheng Yan, Alan L. Yuille:
Editorial- Deep Learning for Computer Vision. Comput. Vis. Image Underst. 164: 1-2 (2017) - [j41]Jordi Pont-Tuset, Pablo Arbeláez, Jonathan T. Barron, Ferran Marqués, Jitendra Malik:
Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 128-140 (2017) - [j40]Michael W. Tao, Pratul P. Srinivasan, Sunil Hadap, Szymon Rusinkiewicz, Jitendra Malik, Ravi Ramamoorthi:
Shape Estimation from Shading, Defocus, and Correspondence Using Light-Field Angular Coherence. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 546-560 (2017) - [j39]Bharath Hariharan, Pablo Arbeláez, Ross B. Girshick, Jitendra Malik:
Object Instance Segmentation and Fine-Grained Localization Using Hypercolumns. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 627-639 (2017) - [j38]Shubham Tulsiani, Abhishek Kar, João Carreira, Jitendra Malik:
Learning Category-Specific Deformable 3D Models for Object Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 719-731 (2017) - [c168]Christian Hane, Shubham Tulsiani, Jitendra Malik:
Hierarchical Surface Prediction for 3D Object Reconstruction. 3DV 2017: 412-420 - [c167]Shubham Tulsiani, Tinghui Zhou, Alexei A. Efros, Jitendra Malik:
Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency. CVPR 2017: 209-217 - [c166]Shubham Tulsiani, Hao Su, Leonidas J. Guibas, Alexei A. Efros, Jitendra Malik:
Learning Shape Abstractions by Assembling Volumetric Primitives. CVPR 2017: 1466-1474 - [c165]Amir R. Zamir, Te-Lin Wu, Lin Sun, William B. Shen, Bertram E. Shi, Jitendra Malik, Silvio Savarese:
Feedback Networks. CVPR 2017: 1808-1817 - [c164]Saurabh Gupta, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik:
Cognitive Mapping and Planning for Visual Navigation. CVPR 2017: 7272-7281 - [c163]Panna Felsen, Pulkit Agrawal, Jitendra Malik:
What will Happen Next? Forecasting Player Moves in Sports Videos. ICCV 2017: 3362-3371 - [c162]Ke Li, Jitendra Malik:
Learning to Optimize. ICLR (Poster) 2017 - [c161]Ke Li, Jitendra Malik:
Fast k-Nearest Neighbour Search via Prioritized DCI. ICML 2017: 2081-2090 - [c160]Ashvin Nair, Dian Chen, Pulkit Agrawal, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine:
Combining self-supervised learning and imitation for vision-based rope manipulation. ICRA 2017: 2146-2153 - [c159]Abhishek Kar, Christian Häne, Jitendra Malik:
Learning a Multi-View Stereo Machine. NIPS 2017: 365-376 - [i53]Saurabh Gupta, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik:
Cognitive Mapping and Planning for Visual Navigation. CoRR abs/1702.03920 (2017) - [i52]Ke Li, Jitendra Malik:
Fast k-Nearest Neighbour Search via Prioritized DCI. CoRR abs/1703.00440 (2017) - [i51]Ke Li, Jitendra Malik:
Learning to Optimize Neural Nets. CoRR abs/1703.00441 (2017) - [i50]Ashvin Nair, Dian Chen, Pulkit Agrawal, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine:
Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation. CoRR abs/1703.02018 (2017) - [i49]Christian Häne, Shubham Tulsiani, Jitendra Malik:
Hierarchical Surface Prediction for 3D Object Reconstruction. CoRR abs/1704.00710 (2017) - [i48]Shubham Tulsiani, Tinghui Zhou, Alexei A. Efros, Jitendra Malik:
Multi-view Supervision for Single-view Reconstruction via Differentiable Ray Consistency. CoRR abs/1704.06254 (2017) - [i47]Chunhui Gu, Chen Sun, Sudheendra Vijayanarasimhan, Caroline Pantofaru, David A. Ross, George Toderici, Yeqing Li, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik:
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions. CoRR abs/1705.08421 (2017) - [i46]Abhishek Kar, Christian Häne, Jitendra Malik:
Learning a Multi-View Stereo Machine. CoRR abs/1708.05375 (2017) - [i45]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) - [i44]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) - [i43]Shubham Tulsiani, Saurabh Gupta, David F. Fouhey, Alexei A. Efros, Jitendra Malik:
Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene. CoRR abs/1712.01812 (2017) - [i42]David F. Fouhey, Weicheng Kuo, Alexei A. Efros, Jitendra Malik:
From Lifestyle Vlogs to Everyday Interactions. CoRR abs/1712.02310 (2017) - [i41]Angjoo Kanazawa, Michael J. Black, David W. Jacobs, Jitendra Malik:
End-to-end Recovery of Human Shape and Pose. CoRR abs/1712.06584 (2017) - [i40]Saurabh Gupta, David F. Fouhey, Sergey Levine, Jitendra Malik:
Unifying Map and Landmark Based Representations for Visual Navigation. CoRR abs/1712.08125 (2017) - 2016
- [j37]Ross B. Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik:
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 38(1): 142-158 (2016) - [j36]Jonathan T. Barron, Jitendra Malik:
Intrinsic Scene Properties from a Single RGB-D Image. IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 690-703 (2016) - [j35]Michael W. Tao, Jong-Chyi Su, Ting-Chun Wang, Jitendra Malik, Ravi Ramamoorthi:
Depth Estimation and Specular Removal for Glossy Surfaces Using Point and Line Consistency with Light-Field Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1155-1169 (2016) - [j34]Jitendra Malik, Pablo Andrés Arbeláez, João Carreira, Katerina Fragkiadaki, Ross B. Girshick, Georgia Gkioxari, Saurabh Gupta, Bharath Hariharan, Abhishek Kar, Shubham Tulsiani:
The three R's of computer vision: Recognition, reconstruction and reorganization. Pattern Recognit. Lett. 72: 4-14 (2016) - [c158]Saurabh Gupta, Judy Hoffman, Jitendra Malik:
Cross Modal Distillation for Supervision Transfer. CVPR 2016: 2827-2836 - [c157]Ke Li, Bharath Hariharan, Jitendra Malik:
Iterative Instance Segmentation. CVPR 2016: 3659-3667 - [c156]João Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Jitendra Malik:
Human Pose Estimation with Iterative Error Feedback. CVPR 2016: 4733-4742 - [c155]Tinghui Zhou, Shubham Tulsiani, Weilun Sun, Jitendra Malik, Alexei A. Efros:
View Synthesis by Appearance Flow. ECCV (4) 2016: 286-301 - [c154]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 - [c153]Ke Li, Jitendra Malik:
Amodal Instance Segmentation. ECCV (2) 2016: 677-693 - [c152]Ke Li, Jitendra Malik:
Fast k-Nearest Neighbour Search via Dynamic Continuous Indexing. ICML 2016: 671-679 - [c151]Katerina Fragkiadaki, Pulkit Agrawal, Sergey Levine, Jitendra Malik:
Learning Visual Predictive Models of Physics for Playing Billiards. ICLR (Poster) 2016 - [i39]Ke Li, Jitendra Malik:
Amodal Instance Segmentation. CoRR abs/1604.08202 (2016) - [i38]Tinghui Zhou, Shubham Tulsiani, Weilun Sun, Jitendra Malik, Alexei A. Efros:
View Synthesis by Appearance Flow. CoRR abs/1605.03557 (2016) - [i37]Ke Li, Jitendra Malik:
Learning to Optimize. CoRR abs/1606.01885 (2016) - [i36]Pulkit Agrawal, Ashvin Nair, Pieter Abbeel, Jitendra Malik, Sergey Levine:
Learning to Poke by Poking: Experiential Learning of Intuitive Physics. CoRR abs/1606.07419 (2016) - [i35]Shubham Tulsiani, Hao Su, Leonidas J. Guibas, Alexei A. Efros, Jitendra Malik:
Learning Shape Abstractions by Assembling Volumetric Primitives. CoRR abs/1612.00404 (2016) - [i34]Abhinav Shrivastava, Rahul Sukthankar, Jitendra Malik, Abhinav Gupta:
Beyond Skip Connections: Top-Down Modulation for Object Detection. CoRR abs/1612.06851 (2016) - [i33]Amir R. Zamir, Te-Lin Wu, Lin Sun, William B. Shen, Jitendra Malik, Silvio Savarese:
Feedback Networks. CoRR abs/1612.09508 (2016) - 2015
- [j33]Shiry Ginosar, Daniel Haas, Timothy Brown, Jitendra Malik:
Detecting people in Cubist art. AI Matters 1(3): 16-18 (2015) - [j32]Saurabh Gupta, Pablo Andrés Arbeláez, Ross B. Girshick, Jitendra Malik:
Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation. Int. J. Comput. Vis. 112(2): 133-149 (2015) - [j31]Jonathan T. Barron, Jitendra Malik:
Shape, Illumination, and Reflectance from Shading. IEEE Trans. Pattern Anal. Mach. Intell. 37(8): 1670-1687 (2015) - [c150]Ross B. Girshick, Forrest N. Iandola, Trevor Darrell, Jitendra Malik:
Deformable part models are convolutional neural networks. CVPR 2015: 437-446 - [c149]Bharath Hariharan, Pablo Andrés Arbeláez, Ross B. Girshick, Jitendra Malik:
Hypercolumns for object segmentation and fine-grained localization. CVPR 2015: 447-456 - [c148]Georgia Gkioxari, Jitendra Malik:
Finding action tubes. CVPR 2015: 759-768 - [c147]Shubham Tulsiani, Jitendra Malik:
Viewpoints and keypoints. CVPR 2015: 1510-1519 - [c146]Michael W. Tao, Pratul P. Srinivasan, Jitendra Malik, Szymon Rusinkiewicz, Ravi Ramamoorthi:
Depth from shading, defocus, and correspondence using light-field angular coherence. CVPR 2015: 1940-1948 - [c145]Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik:
Category-specific object reconstruction from a single image. CVPR 2015: 1966-1974 - [c144]João Carreira, Abhishek Kar, Shubham Tulsiani, Jitendra Malik:
Virtual view networks for object reconstruction. CVPR 2015: 2937-2946 - [c143]Katerina Fragkiadaki, Pablo Arbeláez, Panna Felsen, Jitendra Malik:
Learning to segment moving objects in videos. CVPR 2015: 4083-4090 - [c142]Saurabh Gupta, Pablo Andrés Arbeláez, Ross B. Girshick, Jitendra Malik:
Aligning 3D models to RGB-D images of cluttered scenes. CVPR 2015: 4731-4740 - [c141]Pulkit Agrawal, João Carreira, Jitendra Malik:
Learning to See by Moving. ICCV 2015: 37-45 - [c140]Shubham Tulsiani, João Carreira, Jitendra Malik:
Pose Induction for Novel Object Categories. ICCV 2015: 64-72 - [c139]Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik:
Amodal Completion and Size Constancy in Natural Scenes. ICCV 2015: 127-135 - [c138]Georgia Gkioxari, Ross B. Girshick, Jitendra Malik:
Contextual Action Recognition with R*CNN. ICCV 2015: 1080-1088 - [c137]Georgia Gkioxari, Ross B. Girshick, Jitendra Malik:
Actions and Attributes from Wholes and Parts. ICCV 2015: 2470-2478 - [c136]Weicheng Kuo, Bharath Hariharan, Jitendra Malik:
DeepBox: Learning Objectness with Convolutional Networks. ICCV 2015: 2479-2487 - [c135]Katerina Fragkiadaki, Sergey Levine, Panna Felsen, Jitendra Malik:
Recurrent Network Models for Human Dynamics. ICCV 2015: 4346-4354 - [i32]Saurabh Gupta, Pablo Andrés Arbeláez, Ross B. Girshick, Jitendra Malik:
Inferring 3D Object Pose in RGB-D Images. CoRR abs/1502.04652 (2015) - [i31]Jordi Pont-Tuset, Pablo Arbeláez, Jonathan T. Barron, Ferran Marqués, Jitendra Malik:
Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation. CoRR abs/1503.00848 (2015) - [i30]Shubham Tulsiani, João Carreira, Jitendra Malik:
Pose Induction for Novel Object Categories. CoRR abs/1505.00066 (2015) - [i29]Georgia Gkioxari, Ross B. Girshick, Jitendra Malik:
Contextual Action Recognition with R*CNN. CoRR abs/1505.01197 (2015) - [i28]Pulkit Agrawal, João Carreira, Jitendra Malik:
Learning to See by Moving. CoRR abs/1505.01596 (2015) - [i27]Weicheng Kuo, Bharath Hariharan, Jitendra Malik:
DeepBox: Learning Objectness with Convolutional Networks. CoRR abs/1505.02146 (2015) - [i26]Saurabh Gupta, Jitendra Malik:
Visual Semantic Role Labeling. CoRR abs/1505.04474 (2015) - [i25]Saurabh Gupta, Judy Hoffman, Jitendra Malik:
Cross Modal Distillation for Supervision Transfer. CoRR abs/1507.00448 (2015) - [i24]João Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Jitendra Malik:
Human Pose Estimation with Iterative Error Feedback. CoRR abs/1507.06550 (2015) - [i23]Katerina Fragkiadaki, Sergey Levine, Jitendra Malik:
Recurrent Network Models for Kinematic Tracking. CoRR abs/1508.00271 (2015) - [i22]