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ORCIDJitendra Malik
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- affiliation: University of California, Berkeley, USA
- award (2016): ACM - AAAI Allen Newell Award
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2020 – today
- 2021
[i108]Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik, Michael I. Jordan:
Distribution-Free, Risk-Controlling Prediction Sets. CoRR abs/2101.02703 (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) - [c206]Amir Roshan Zamir, Alexander Sax, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas:
Robust Learning Through Cross-Task Consistency. CVPR 2020: 11194-11203 - [c205]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 - [c204]Shubham Goel, Angjoo Kanazawa, Jitendra Malik:
Shape and Viewpoint Without Keypoints. ECCV (15) 2020: 88-104 - [c203]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 - [c202]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 - [c201]Jeffrey O. Zhang, Alexander Sax, Amir Roshan Zamir, Leonidas J. Guibas, Jitendra Malik:
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks. ECCV (3) 2020: 698-714 - [c200]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 - [c199]Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik:
Deep Isometric Learning for Visual Recognition. ICML 2020: 7824-7835 - [c198]Trevor Standley, Amir Roshan Zamir, Dawn Chen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Which Tasks Should Be Learned Together in Multi-task Learning? ICML 2020: 9120-9132 - [c197]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 Roshan Zamir, Alexander Sax, Teresa Yeo, Oguzhan 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 Roshan 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
- [c196]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 - [c195]Ashish Kumar, Saurabh Gupta, Jitendra Malik:
Learning Navigation Subroutines from Egocentric Videos. CoRL 2019: 617-626 - [c194]Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Roshan Zamir, Silvio Savarese, Leonidas J. Guibas, Jitendra Malik:
Learning to Navigate Using Mid-Level Visual Priors. CoRL 2019: 791-812 - [c193]Shiry Ginosar, Amir Bar, Gefen Kohavi, Caroline Chan, Andrew Owens, Jitendra Malik:
Learning Individual Styles of Conversational Gesture. CVPR 2019: 3497-3506 - [c192]Zhe Cao, Abhishek Kar, Christian Hane, Jitendra Malik:
Learning Independent Object Motion From Unlabelled Stereoscopic Videos. CVPR 2019: 5594-5603 - [c191]Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, Jitendra Malik:
Learning 3D Human Dynamics From Video. CVPR 2019: 5614-5623 - [c190]Yedid Hoshen, Ke Li, Jitendra Malik:
Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors. CVPR 2019: 5811-5819 - [c189]Ke Li, Tianhao Zhang, Jitendra Malik:
Diverse Image Synthesis From Semantic Layouts via Conditional IMLE. ICCV 2019: 4219-4228 - [c188]Iro Armeni, Zhi-Yang He, Amir Roshan 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 - [c187]Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He:
SlowFast Networks for Video Recognition. ICCV 2019: 6201-6210 - [c186]Jason Y. Zhang, Panna Felsen, Angjoo Kanazawa, Jitendra Malik:
Predicting 3D Human Dynamics From Video. ICCV 2019: 7113-7122 - [c185]Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin:
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. ICCV 2019: 9206-9215 - [c184]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 - [c183]Georgia Gkioxari, Justin Johnson, Jitendra Malik:
Mesh R-CNN. ICCV 2019: 9784-9794 - [c182]Amir Roshan Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Taskonomy: Disentangling Task Transfer Learning. IJCAI 2019: 6241-6245 - [c181]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 Roshan 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 Roshan 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 Roshan 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 Roshan 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): 178:1-178:14 (2018) - [c180]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 - [c179]Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik:
Learning Instance Segmentation by Interaction. CVPR Workshops 2018: 2042-2045 - [c178]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 - [c177]Shubham Tulsiani, Alexei A. Efros, Jitendra Malik:
Multi-View Consistency as Supervisory Signal for Learning Shape and Pose Prediction. CVPR 2018: 2897-2905 - [c176]Amir Roshan Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Taskonomy: Disentangling Task Transfer Learning. CVPR 2018: 3712-3722 - [c175]David F. Fouhey, Weicheng Kuo, Alexei A. Efros, Jitendra Malik:
From Lifestyle Vlogs to Everyday Interactions. CVPR 2018: 4991-5000 - [c174]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 - [c173]Angjoo Kanazawa, Michael J. Black, David W. Jacobs, Jitendra Malik:
End-to-End Recovery of Human Shape and Pose. CVPR 2018: 7122-7131 - [c172]Fei Xia, Amir Roshan Zamir, Zhi-Yang He, Alexander Sax, Jitendra Malik, Silvio Savarese:
Gibson Env: Real-World Perception for Embodied Agents. CVPR 2018: 9068-9079 - [c171]Angjoo Kanazawa, Shubham Tulsiani, Alexei A. Efros, Jitendra Malik:
Learning Category-Specific Mesh Reconstruction from Image Collections. ECCV (15) 2018: 386-402 - [c170]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 - [c169]Weicheng Kuo, Christian Häne, Esther L. Yuh, Pratik Mukherjee, Jitendra Malik:
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection. MICCAI (3) 2018: 715-723 - [c168]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 Roshan 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 Roshan Zamir:
On Evaluation of Embodied Navigation Agents. CoRR abs/1807.06757 (2018) - [i66]Fei Xia, Amir Roshan 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 Roshan 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 Arbelaez, 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 Arbelaez, 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) - [c167]Christian Hane, Shubham Tulsiani, Jitendra Malik:
Hierarchical Surface Prediction for 3D Object Reconstruction. 3DV 2017: 412-420 - [c166]Shubham Tulsiani, Tinghui Zhou, Alexei A. Efros, Jitendra Malik:
Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency. CVPR 2017: 209-217 - [c165]Shubham Tulsiani, Hao Su, Leonidas J. Guibas, Alexei A. Efros, Jitendra Malik:
Learning Shape Abstractions by Assembling Volumetric Primitives. CVPR 2017: 1466-1474 - [c164]Amir Roshan Zamir, Te-Lin Wu, Lin Sun, William B. Shen, Bertram E. Shi, Jitendra Malik, Silvio Savarese:
Feedback Networks. CVPR 2017: 1808-1817 - [c163]Saurabh Gupta, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik:
Cognitive Mapping and Planning for Visual Navigation. CVPR 2017: 7272-7281 - [c162]Panna Felsen, Pulkit Agrawal, Jitendra Malik:
What will Happen Next? Forecasting Player Moves in Sports Videos. ICCV 2017: 3362-3371 - [c161]Ke Li, Jitendra Malik:
Learning to Optimize. ICLR (Poster) 2017 - [c160]Ke Li, Jitendra Malik:
Fast k-Nearest Neighbour Search via Prioritized DCI. ICML 2017: 2081-2090 - [c159]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 - [c158]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,