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2020 – today
- 2025
[c98]Alexander Cong Li, Ananya Kumar, Deepak Pathak:
Generative Classifiers Avoid Shortcut Solutions. ICLR 2025- [i86]Jason Jingzhou Liu, Yulong Li, Kenneth Shaw, Tony Tao, Ruslan Salakhutdinov, Deepak Pathak:
FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning. CoRR abs/2502.17432 (2025) - [i85]Jianren Wang, Yifan Su, Abhinav Gupta, Deepak Pathak:
Evolutionary Policy Optimization. CoRR abs/2503.19037 (2025) - [i84]Alexander Swerdlow, Mihir Prabhudesai, Siddharth Gandhi, Deepak Pathak, Katerina Fragkiadaki:
Unified Multimodal Discrete Diffusion. CoRR abs/2503.20853 (2025) - 2024
- [j5]Kenneth Shaw
, Shikhar Bahl, Aravind Sivakumar, Aditya Kannan, Deepak Pathak:
Learning dexterity from human hand motion in internet videos. Int. J. Robotics Res. 43(4): 513-532 (2024) - [c97]Justin Wasserman, Ananye Agarwal, Rishabh Jangir, Girish Chowdhary, Deepak Pathak, Abhinav Gupta:
Legolas: Deep Leg-Inertial Odometry. CoRL 2024: 2928-2947 - [c96]Kenneth Shaw, Yulong Li, Jiahui Yang, Mohan Kumar Srirama, Ray Liu, Haoyu Xiong, Russell Mendonca, Deepak Pathak:
Bimanual Dexterity for Complex Tasks. CoRL 2024: 5166-5183 - [c95]Russell Mendonca, Emmanuel Panov, Bernadette Bucher, Jiuguang Wang, Deepak Pathak:
Continuously Improving Mobile Manipulation with Autonomous Real-World RL. CoRL 2024: 5204-5219 - [c94]Baiqi Li, Zhiqiu Lin, Deepak Pathak, Jiayao Li, Yixin Fei, Kewen Wu, Xide Xia, Pengchuan Zhang, Graham Neubig, Deva Ramanan:
Evaluating and Improving Compositional Text-to-Visual Generation. CVPR Workshops 2024: 5290-5301 - [c93]Shihong Liu, Samuel Yu, Zhiqiu Lin, Deepak Pathak, Deva Ramanan:
Language Models as Black-Box Optimizers for Vision-Language Models. CVPR 2024: 12687-12697 - [c92]Shagun Uppal, Ananye Agarwal, Haoyu Xiong, Kenneth Shaw, Deepak Pathak:
SPIN: Simultaneous Perception, Interaction and Navigation. CVPR 2024: 18133-18142 - [c91]Zhiqiu Lin, Deepak Pathak, Baiqi Li, Jiayao Li, Xide Xia, Graham Neubig, Pengchuan Zhang, Deva Ramanan:
Evaluating Text-to-Visual Generation with Image-to-Text Generation. ECCV (9) 2024: 366-384 - [c90]Xingyu Liu, Deepak Pathak, Ding Zhao:
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer. ICLR 2024 - [c89]Zhiqiu Lin, Xinyue Chen, Deepak Pathak, Pengchuan Zhang, Deva Ramanan:
Revisiting the Role of Language Priors in Vision-Language Models. ICML 2024 - [c88]Jayesh Singla, Ananye Agarwal, Deepak Pathak:
SAPG: Split and Aggregate Policy Gradients. ICML 2024 - [c87]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 E. 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 - [c86]Xuxin Cheng, Kexin Shi, Ananye Agarwal, Deepak Pathak:
Extreme Parkour with Legged Robots. ICRA 2024: 11443-11450 - [c85]Miro Miranda, Deepak Pathak, Marlon Nuske, Andreas Dengel:
Multi-Modal Fusion Methods with Local Neighborhood Information for Crop Yield Prediction at Field and Subfield Levels. IGARSS 2024: 4307-4311 - [c84]Alexander C. Li, Yuandong Tian, Beidi Chen, Deepak Pathak, Xinlei Chen:
On the Surprising Effectiveness of Attention Transfer for Vision Transformers. NeurIPS 2024 - [c83]Kenneth Shaw, Ananye Agarwal, Shikhar Bahl, Mohan Kumar Srirama, Alexandre Kirchmeyer, Aditya Kannan, Aravind Sivakumar, Deepak Pathak:
Demonstrating Learning from Humans on Open-Source Dexterous Robot Hands. Robotics: Science and Systems 2024 - [i83]Francisco Alejandro Mena, Deepak Pathak, Hiba Najjar, Cristhian Sanchez, Patrick Helber, Benjamin Bischke, Peter Habelitz, Miro Miranda, Jayanth Siddamsetty, Marlon Nuske, Marcela Charfuelan, Diego Arenas, Michaela Vollmer, Andreas Dengel:
Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction. CoRR abs/2401.11844 (2024) - [i82]Haoyu Xiong, Russell Mendonca, Kenneth Shaw, Deepak Pathak:
Adaptive Mobile Manipulation for Articulated Objects In the Open World. CoRR abs/2401.14403 (2024) - [i81]Zhiqiu Lin, Deepak Pathak, Baiqi Li, Jiayao Li, Xide Xia, Graham Neubig, Pengchuan Zhang, Deva Ramanan:
Evaluating Text-to-Visual Generation with Image-to-Text Generation. CoRR abs/2404.01291 (2024) - [i80]Xingyu Liu, Deepak Pathak, Ding Zhao:
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer. CoRR abs/2405.03534 (2024) - [i79]Shagun Uppal, Ananye Agarwal, Haoyu Xiong, Kenneth Shaw, Deepak Pathak:
SPIN: Simultaneous Perception, Interaction and Navigation. CoRR abs/2405.07991 (2024) - [i78]Baiqi Li, Zhiqiu Lin, Deepak Pathak, Jiayao Li, Yixin Fei, Kewen Wu, Tiffany Ling, Xide Xia, Pengchuan Zhang, Graham Neubig, Deva Ramanan:
GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation. CoRR abs/2406.13743 (2024) - [i77]Mihir Prabhudesai, Russell Mendonca, Zheyang Qin, Katerina Fragkiadaki, Deepak Pathak:
Video Diffusion Alignment via Reward Gradients. CoRR abs/2407.08737 (2024) - [i76]Jayesh Singla, Ananye Agarwal, Deepak Pathak:
SAPG: Split and Aggregate Policy Gradients. CoRR abs/2407.20230 (2024) - [i75]Murtaza Dalal, Jiahui Yang, Russell Mendonca, Youssef Khaky, Ruslan Salakhutdinov, Deepak Pathak:
Neural MP: A Generalist Neural Motion Planner. CoRR abs/2409.05864 (2024) - [i74]Russell Mendonca, Emmanuel Panov, Bernadette Bucher, Jiuguang Wang, Deepak Pathak:
Continuously Improving Mobile Manipulation with Autonomous Real-World RL. CoRR abs/2409.20568 (2024) - [i73]Murtaza Dalal, Min Liu, Walter Talbott, Chen Chen, Deepak Pathak, Jian Zhang, Ruslan Salakhutdinov:
Local Policies Enable Zero-shot Long-horizon Manipulation. CoRR abs/2410.22332 (2024) - [i72]Alexander C. Li, Yuandong Tian, Beidi Chen, Deepak Pathak, Xinlei Chen:
On the Surprising Effectiveness of Attention Transfer for Vision Transformers. CoRR abs/2411.09702 (2024) - [i71]Kenneth Shaw, Yulong Li, Jiahui Yang, Mohan Kumar Srirama, Ray Liu, Haoyu Xiong, Russell Mendonca, Deepak Pathak:
Bimanual Dexterity for Complex Tasks. CoRR abs/2411.13677 (2024) - 2023
- [j4]Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran:
FLAVR: flow-free architecture for fast video frame interpolation. Mach. Vis. Appl. 34(5): 83 (2023) - [c82]Aditya Kannan, Kenneth Shaw, Shikhar Bahl, Pragna Mannam, Deepak Pathak:
DEFT: Dexterous Fine-Tuning for Hand Policies. CoRL 2023: 928-942 - [c81]Lili Chen, Shikhar Bahl, Deepak Pathak:
PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play. CoRL 2023: 2012-2029 - [c80]Ananye Agarwal, Shagun Uppal, Kenneth Shaw, Deepak Pathak:
Dexterous Functional Grasping. CoRL 2023: 3453-3467 - [c79]Shikhar Bahl, Russell Mendonca, Lili Chen, Unnat Jain, Deepak Pathak:
Affordances from Human Videos as a Versatile Representation for Robotics. CVPR 2023: 1-13 - [c78]Zhiqiu Lin, Samuel Yu, Zhiyi Kuang, Deepak Pathak, Deva Ramanan:
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models. CVPR 2023: 19325-19337 - [c77]Pragna Mannam, Kenneth Shaw, Dominik Bauer, Jean Oh, Deepak Pathak, Nancy S. Pollard:
Designing Anthropomorphic Soft Hands Through Interaction. Humanoids 2023: 1-8 - [c76]Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak:
Your Diffusion Model is Secretly a Zero-Shot Classifier. ICCV 2023: 2206-2217 - [c75]Kevin Gmelin, Shikhar Bahl, Russell Mendonca, Deepak Pathak:
Efficient RL via Disentangled Environment and Agent Representations. ICML 2023: 11525-11545 - [c74]Alexander Cong Li, Ellis Langham Brown, Alexei A. Efros, Deepak Pathak:
Internet Explorer: Targeted Representation Learning on the Open Web. ICML 2023: 19385-19406 - [c73]Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki:
Test-time Adaptation with Slot-Centric Models. ICML 2023: 28151-28166 - [c72]Russell Mendonca, Shikhar Bahl, Deepak Pathak:
ALAN: Autonomously Exploring Robotic Agents in the Real World. ICRA 2023: 3044-3050 - [c71]Xuxin Cheng, Ashish Kumar, Deepak Pathak:
Legs as Manipulator: Pushing Quadrupedal Agility Beyond Locomotion. ICRA 2023: 5106-5112 - [c70]Patrick Helber, Benjamin Bischke, Peter Habelitz, Cristhian Sanchez, Deepak Pathak, Miro Miranda, Hiba Najjar, Francisco Alejandro Mena, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel:
Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models. IGARSS 2023: 2763-2766 - [c69]Deepak Pathak, Miro Miranda, Francisco Alejandro Mena, Cristhian Sanchez, Patrick Helber, Benjamin Bischke, Peter Habelitz, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel:
Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level. IGARSS 2023: 2767-2770 - [c68]Cristhian Sanchez, Deepak Pathak, Miro Miranda, Marcela Charfuelan, Patrick Helber, Marlon Nuske, Benjamin Bischke, Peter Habelitz, Nafisur Rahman, Francisco Alejandro Mena, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Andreas Dengel:
Influence of Data Cleaning Techniques on Sub-Field Yield Predictions. IGARSS 2023: 4852-4855 - [c67]Hiba Najjar, Patrick Helber, Benjamin Bischke, Peter Habelitz, Cristhian Sanchez, Francisco Alejandro Mena, Miro Miranda, Deepak Pathak, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel:
Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing. IGARSS 2023: 5014-5017 - [c66]Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki:
Test-time Adaptation of Discriminative Models via Diffusion Generative Feedback. NeurIPS 2023 - [c65]Russell Mendonca, Shikhar Bahl, Deepak Pathak:
Structured World Models from Human Videos. Robotics: Science and Systems 2023 - [c64]Kenneth Shaw, Ananye Agarwal, Deepak Pathak:
LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning. Robotics: Science and Systems 2023 - [c63]Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran:
FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation. WACV 2023: 2070-2081 - [i70]Zhiqiu Lin, Samuel Yu, Zhiyi Kuang, Deepak Pathak, Deva Ramanan:
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models. CoRR abs/2301.06267 (2023) - [i69]Russell Mendonca, Shikhar Bahl, Deepak Pathak:
ALAN: Autonomously Exploring Robotic Agents in the Real World. CoRR abs/2302.06604 (2023) - [i68]Alexander C. Li, Ellis Brown, Alexei A. Efros, Deepak Pathak:
Internet Explorer: Targeted Representation Learning on the Open Web. CoRR abs/2302.14051 (2023) - [i67]Xuxin Cheng, Ashish Kumar, Deepak Pathak:
Legs as Manipulator: Pushing Quadrupedal Agility Beyond Locomotion. CoRR abs/2303.11330 (2023) - [i66]Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak:
Your Diffusion Model is Secretly a Zero-Shot Classifier. CoRR abs/2303.16203 (2023) - [i65]Shikhar Bahl, Russell Mendonca, Lili Chen, Unnat Jain, Deepak Pathak:
Affordances from Human Videos as a Versatile Representation for Robotics. CoRR abs/2304.08488 (2023) - [i64]Zhiqiu Lin, Xinyue Chen, Deepak Pathak, Pengchuan Zhang, Deva Ramanan:
VisualGPTScore: Visio-Linguistic Reasoning with Multimodal Generative Pre-Training Scores. CoRR abs/2306.01879 (2023) - [i63]Pragna Mannam, Kenneth Shaw, Dominik Bauer, Jean Oh, Deepak Pathak, Nancy S. Pollard:
A Framework for Designing Anthropomorphic Soft Hands through Interaction. CoRR abs/2306.04784 (2023) - [i62]Deepak Pathak, Miro Miranda, Francisco Alejandro Mena, Cristhian Sanchez, Patrick Helber, Benjamin Bischke, Peter Habelitz, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel:
Predicting Crop Yield With Machine Learning: An Extensive Analysis Of Input Modalities And Models On a Field and sub-field Level. CoRR abs/2308.08948 (2023) - [i61]Russell Mendonca, Shikhar Bahl, Deepak Pathak:
Structured World Models from Human Videos. CoRR abs/2308.10901 (2023) - [i60]Kevin Gmelin, Shikhar Bahl, Russell Mendonca, Deepak Pathak:
Efficient RL via Disentangled Environment and Agent Representations. CoRR abs/2309.02435 (2023) - [i59]Shihong Liu, Samuel Yu, Zhiqiu Lin, Deepak Pathak, Deva Ramanan:
Language Models as Black-Box Optimizers for Vision-Language Models. CoRR abs/2309.05950 (2023) - [i58]Kenneth Shaw, Ananye Agarwal, Deepak Pathak:
LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning. CoRR abs/2309.06440 (2023) - [i57]Xuxin Cheng, Kexin Shi, Ananye Agarwal, Deepak Pathak:
Extreme Parkour with Legged Robots. CoRR abs/2309.14341 (2023) - [i56]Open X.-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Raj, Anikait Singh, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models. CoRR abs/2310.08864 (2023) - [i55]Aditya Kannan, Kenneth Shaw, Shikhar Bahl, Pragna Mannam, Deepak Pathak:
DEFT: Dexterous Fine-Tuning for Real-World Hand Policies. CoRR abs/2310.19797 (2023) - [i54]Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki:
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback. CoRR abs/2311.16102 (2023) - [i53]Ananye Agarwal, Shagun Uppal, Kenneth Shaw, Deepak Pathak:
Dexterous Functional Grasping. CoRR abs/2312.02975 (2023) - [i52]Lili Chen, Shikhar Bahl, Deepak Pathak:
PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play. CoRR abs/2312.04549 (2023) - 2022
- [c62]Zipeng Fu, Xuxin Cheng, Deepak Pathak:
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion. CoRL 2022: 138-149 - [c61]Ananye Agarwal, Ashish Kumar, Jitendra Malik, Deepak Pathak:
Legged Locomotion in Challenging Terrains using Egocentric Vision. CoRL 2022: 403-415 - [c60]Xingyu Liu, Deepak Pathak, Kris M. Kitani:
HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration. CoRL 2022: 447-458 - [c59]Kenneth Shaw, Shikhar Bahl, Deepak Pathak:
VideoDex: Learning Dexterity from Internet Videos. CoRL 2022: 654-665 - [c58]Shivam Duggal, Deepak Pathak:
Topologically-Aware Deformation Fields for Single-View 3D Reconstruction. CVPR 2022: 1526-1536 - [c57]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 - [c56]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 - [c55]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 - [c54]Alexander C. Li, Ellis Brown, Alexei A. Efros, Deepak Pathak:
Internet Curiosity: Directed Unsupervised Learning on Uncurated Internet Data. ECCV Workshops (4) 2022: 100-104 - [c53]Alexander C. Li, Alexei A. Efros, Deepak Pathak:
Understanding Collapse in Non-contrastive Siamese Representation Learning. ECCV (31) 2022: 490-505 - [c52]Wenlong Huang, Pieter Abbeel, Deepak Pathak, Igor Mordatch:
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents. ICML 2022: 9118-9147 - [c51]Xingyu Liu, Deepak Pathak, Kris Kitani:
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer. ICML 2022: 13995-14007 - [c50]Parsa Mahmoudieh, Deepak Pathak, Trevor Darrell:
Zero-Shot Reward Specification via Grounded Natural Language. ICML 2022: 14743-14752 - [c49]Ashish Kumar, Zhongyu Li, Jun Zeng, Deepak Pathak, Koushil Sreenath, Jitendra Malik:
Adapting Rapid Motor Adaptation for Bipedal Robots. IROS 2022: 1161-1168 - [c48]Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Continual Learning with Evolving Class Ontologies. NeurIPS 2022 - [c47]Shikhar Bahl, Abhinav Gupta, Deepak Pathak:
Human-to-Robot Imitation in the Wild. Robotics: Science and Systems 2022 - [c46]Aravind Sivakumar, Kenneth Shaw, Deepak Pathak:
Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on YouTube. Robotics: Science and Systems 2022 - [i51]Zhiqiu Lin, Jia Shi, Deepak Pathak, Deva Ramanan:
The CLEAR Benchmark: Continual LEArning on Real-World Imagery. CoRR abs/2201.06289 (2022) - [i50]Wenlong Huang, Pieter Abbeel, Deepak Pathak, Igor Mordatch:
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents. CoRR abs/2201.07207 (2022) - [i49]Xingyu Liu, Deepak Pathak, Kris M. Kitani:
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer. CoRR abs/2202.05244 (2022) - [i48]Aravind Sivakumar, Kenneth Shaw, Deepak Pathak:
Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube. CoRR abs/2202.10448 (2022) - [i47]Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin S. Wang, Abitha Thankaraj, Karanbir Chahal, Berk Çalli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta:
RB2: Robotic Manipulation Benchmarking with a Twist. CoRR abs/2203.08098 (2022) - [i46]Mihir Prabhudesai, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki:
Generating Fast and Slow: Scene Decomposition via Reconstruction. CoRR abs/2203.11194 (2022) - [i45]Shivam Duggal, Deepak Pathak:
Topologically-Aware Deformation Fields for Single-View 3D Reconstruction. CoRR abs/2205.06267 (2022) - [i44]Ashish Kumar, Zhongyu Li, Jun Zeng, Deepak Pathak, Koushil Sreenath, Jitendra Malik:
Adapting Rapid Motor Adaptation for Bipedal Robots. CoRR abs/2205.15299 (2022) - [i43]Shikhar Bahl, Abhinav Gupta, Deepak Pathak:
Human-to-Robot Imitation in the Wild. CoRR abs/2207.09450 (2022) - [i42]Alexander C. Li, Alexei A. Efros, Deepak Pathak:
Understanding Collapse in Non-Contrastive Learning. CoRR abs/2209.15007 (2022) - [i41]Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong:
Learning with an Evolving Class Ontology. CoRR abs/2210.04993 (2022) - [i40]Zipeng Fu, Xuxin Cheng, Deepak Pathak:
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion. CoRR abs/2210.10044 (2022) - [i39]Ananye Agarwal, Ashish Kumar, Jitendra Malik, Deepak Pathak:
Legged Locomotion in Challenging Terrains using Egocentric Vision. CoRR abs/2211.07638 (2022) - [i38]Xingyu Liu, Deepak Pathak, Kris M. Kitani:
HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration. CoRR abs/2212.04359 (2022) - [i37]Kenneth Shaw, Shikhar Bahl, Deepak Pathak:
VideoDex: Learning Dexterity from Internet Videos. CoRR abs/2212.04498 (2022) - 2021
- [j3]Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai:
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. IEEE Robotics Autom. Lett. 6(2): 2682-2689 (2021) - [c45]Zipeng Fu, Ashish Kumar, Jitendra Malik, Deepak Pathak:
Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots. CoRL 2021: 928-937 - [c44]Ronghang Hu, Nikhila Ravi, Alexander C. Berg, Deepak Pathak:
Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis from a Single Image. ICCV 2021: 12508-12517 - [c43]Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik:
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks. ICLR 2021 - [c42]Devendra Singh Chaplot, Deepak Pathak, Jitendra Malik:
Differentiable Spatial Planning using Transformers. ICML 2021: 1484-1495 - [c41]Boyuan Chen, Pieter Abbeel, Deepak Pathak:
Unsupervised Learning of Visual 3D Keypoints for Control. ICML 2021: 1539-1549 - [c40]Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak:
Auto-Tuned Sim-to-Real Transfer. ICRA 2021: 1290-1296 - [c39]Murtaza Dalal, Deepak Pathak, Ruslan Salakhutdinov:
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives. NeurIPS 2021: 21847-21859 - [c38]Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin S. Wang, Abitha Thankaraj, Karanbir Chahal, Berk Çalli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta:
RB2: Robotic Manipulation Benchmarking with a Twist. NeurIPS Datasets and Benchmarks 2021 - [c37]Alexander C. Li, Deepak Pathak:
Functional Regularization for Reinforcement Learning via Learned Fourier Features. NeurIPS 2021: 19046-19055 - [c36]Zhiqiu Lin, Jia Shi, Deepak Pathak, Deva Ramanan:
The CLEAR Benchmark: Continual LEArning on Real-World Imagery. NeurIPS Datasets and Benchmarks 2021 - [c35]Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta:
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration. NeurIPS 2021: 20516-20530 - [c34]Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak:
Discovering and Achieving Goals via World Models. NeurIPS 2021: 24379-24391 - [c33]Shikhar Bahl, Abhinav Gupta, Deepak Pathak:
Hierarchical Neural Dynamic Policies. Robotics: Science and Systems 2021 - [c32]Ashish Kumar, Zipeng Fu, Deepak Pathak, Jitendra Malik:
RMA: Rapid Motor Adaptation for Legged Robots. Robotics: Science and Systems 2021 - [i36]Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak:
Auto-Tuned Sim-to-Real Transfer. CoRR abs/2104.07662 (2021) - [i35]Boyuan Chen, Pieter Abbeel, Deepak Pathak:
Unsupervised Learning of Visual 3D Keypoints for Control. CoRR abs/2106.07643 (2021) - [i34]Ashish Kumar, Zipeng Fu, Deepak Pathak, Jitendra Malik:
RMA: Rapid Motor Adaptation for Legged Robots. CoRR abs/2107.04034 (2021) - [i33]Shikhar Bahl, Abhinav Gupta, Deepak Pathak:
Hierarchical Neural Dynamic Policies. CoRR abs/2107.05627 (2021) - [i32]Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak:
Discovering and Achieving Goals via World Models. CoRR abs/2110.09514 (2021) - [i31]Murtaza Dalal, Deepak Pathak, Ruslan Salakhutdinov:
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives. CoRR abs/2110.15360 (2021) - [i30]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) - [i29]Wenlong Huang, Igor Mordatch, Pieter Abbeel, Deepak Pathak:
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning. CoRR abs/2111.03062 (2021) - [i28]Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta:
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration. CoRR abs/2111.13119 (2021) - [i27]Devendra Singh Chaplot, Deepak Pathak, Jitendra Malik:
Differentiable Spatial Planning using Transformers. CoRR abs/2112.01010 (2021) - [i26]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) - [i25]Alexander C. Li, Deepak Pathak:
Functional Regularization for Reinforcement Learning via Learned Fourier Features. CoRR abs/2112.03257 (2021) - 2020
- [j2]Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell:
Compositional GAN: Learning Image-Conditional Binary Composition. Int. J. Comput. Vis. 128(10): 2570-2585 (2020) - [c31]Kevin Smith, Eliza Kosoy, Alison Gopnik, Deepak Pathak, Alan Fern, Josh Tenenbaum, Tomer D. Ullman:
The Origins of Common Sense in Humans and Machines. CogSci 2020 - [c30]Eliza Kosoy, Jasmine Collins, David M. Chan, Deepak Pathak, Pulkit Agrawal, Alison Gopnik:
Exploring Exploration: Comparing Children with Agents in Unified Exploration Environments. CogSci 2020 - [c29]Ramkumar Rajendran, Gargi Banerjee, Deepak Pathak, Sivaranjani Sivamohan:
Impact of Gender on Motivation, Engagement and Interaction Behavior in Mobile assisted learning of English. ICALT 2020: 230-232 - [c28]Priya C. Lotlikar, Deepak Pathak, Herold P. C., Chandan Dasgupta:
Tangible Flowchart Blocks for Fostering Logical Thinking in Visually Impaired Learners. ICALT 2020: 266-268 - [c27]Wenlong Huang, Igor Mordatch, Deepak Pathak:
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control. ICML 2020: 4455-4464 - [c26]Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak:
Planning to Explore via Self-Supervised World Models. ICML 2020: 8583-8592 - [c25]Shikhar Bahl, Mustafa Mukadam, Abhinav Gupta, Deepak Pathak:
Neural Dynamic Policies for End-to-End Sensorimotor Learning. NeurIPS 2020 - [c24]Scott Emmons, Ajay Jain, Michael Laskin, Thanard Kurutach, Pieter Abbeel, Deepak Pathak:
Sparse Graphical Memory for Robust Planning. NeurIPS 2020 - [c23]Ajay Jain, Pieter Abbeel, Deepak Pathak:
Locally Masked Convolution for Autoregressive Models. UAI 2020: 1358-1367 - [i24]Michael Laskin, Scott Emmons, Ajay Jain, Thanard Kurutach, Pieter Abbeel, Deepak Pathak:
Sparse Graphical Memory for Robust Planning. CoRR abs/2003.06417 (2020) - [i23]Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak:
Planning to Explore via Self-Supervised World Models. CoRR abs/2005.05960 (2020) - [i22]Ajay Jain, Pieter Abbeel, Deepak Pathak:
Locally Masked Convolution for Autoregressive Models. CoRR abs/2006.12486 (2020) - [i21]Wenlong Huang, Igor Mordatch, Deepak Pathak:
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control. CoRR abs/2007.04976 (2020) - [i20]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) - [i19]Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai:
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion. CoRR abs/2008.11867 (2020) - [i18]Shikhar Bahl, Mustafa Mukadam, Abhinav Gupta, Deepak Pathak:
Neural Dynamic Policies for End-to-End Sensorimotor Learning. CoRR abs/2012.02788 (2020) - [i17]Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran:
FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation. CoRR abs/2012.08512 (2020) - [i16]Ronghang Hu, Deepak Pathak:
Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis from a Single Image. CoRR abs/2012.09854 (2020)
2010 – 2019
- 2019
- [c22]Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Alyosha A. Efros, Tom Griffiths:
Human-level but not human-like: Deep Reinforcement Learning in the dark. CogSci 2019: 3265 - [c21]Eliza Kosoy, Deepak Pathak, Pulkit Agrawal, Alison Gopnik:
Curiouser and Curiouser: Children's intrinsic exploration of mazes and its effects on reaching a goal. CogSci 2019: 3496 - [c20]Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell:
Compositional GAN (Extended Abstract): Learning Image-Conditional Binary Composition. DGS@ICLR 2019 - [c19]Yuri Burda, Harri Edwards, Deepak Pathak, Amos J. Storkey, Trevor Darrell, Alexei A. Efros:
Large-Scale Study of Curiosity-Driven Learning. ICLR (Poster) 2019 - [c18]Deepak Pathak, Dhiraj Gandhi, Abhinav Gupta:
Self-Supervised Exploration via Disagreement. ICML 2019: 5062-5071 - [c17]Deepak Pathak, Christopher Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros:
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity. NeurIPS 2019: 2292-2302 - [c16]Pratyusha Sharma, Deepak Pathak, Abhinav Gupta:
Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller. NeurIPS 2019: 2593-2603 - [i15]Deepak Pathak, Christopher Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros:
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity. CoRR abs/1902.05546 (2019) - [i14]Deepak Pathak, Dhiraj Gandhi, Abhinav Gupta:
Self-Supervised Exploration via Disagreement. CoRR abs/1906.04161 (2019) - [i13]Pratyusha Sharma, Deepak Pathak, Abhinav Gupta:
Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller. CoRR abs/1911.09676 (2019) - 2018
- [c15]Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik:
Learning Instance Segmentation by Interaction. CVPR Workshops 2018: 2042-2045 - [c14]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 - [c13]Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Alyosha A. Efros, Thomas L. Griffiths:
Investigating Human Priors for Playing Video Games. ICLR (Workshop) 2018 - [c12]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 - [c11]Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Tom Griffiths, Alexei A. Efros:
Investigating Human Priors for Playing Video Games. ICML 2018: 1348-1356 - [i12]Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Thomas L. Griffiths, Alexei A. Efros:
Investigating Human Priors for Playing Video Games. CoRR abs/1802.10217 (2018) - [i11]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) - [i10]Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik:
Learning Instance Segmentation by Interaction. CoRR abs/1806.08354 (2018) - [i9]Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell:
Compositional GAN: Learning Conditional Image Composition. CoRR abs/1807.07560 (2018) - [i8]Yuri Burda, Harri Edwards, Deepak Pathak, Amos J. Storkey, Trevor Darrell, Alexei A. Efros:
Large-Scale Study of Curiosity-Driven Learning. CoRR abs/1808.04355 (2018) - 2017
- [c10]Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell:
Curiosity-Driven Exploration by Self-Supervised Prediction. CVPR Workshops 2017: 488-489 - [c9]Deepak Pathak, Ross B. Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan:
Learning Features by Watching Objects Move. CVPR 2017: 6024-6033 - [c8]Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell:
Curiosity-driven Exploration by Self-supervised Prediction. ICML 2017: 2778-2787 - [c7]Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman:
Toward Multimodal Image-to-Image Translation. NIPS 2017: 465-476 - [i7]Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, Trevor Darrell:
Curiosity-driven Exploration by Self-supervised Prediction. CoRR abs/1705.05363 (2017) - [i6]Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman:
Toward Multimodal Image-to-Image Translation. CoRR abs/1711.11586 (2017) - 2016
- [j1]Judy Hoffman, Deepak Pathak, Eric Tzeng, Jonathan Long, Sergio Guadarrama, Trevor Darrell, Kate Saenko:
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning. J. Mach. Learn. Res. 17: 142:1-142:31 (2016) - [c6]Deepak Pathak, Philipp Krähenbühl, Jeff Donahue, Trevor Darrell, Alexei A. Efros:
Context Encoders: Feature Learning by Inpainting. CVPR 2016: 2536-2544 - [i5]Deepak Pathak, Philipp Krähenbühl, Jeff Donahue, Trevor Darrell, Alexei A. Efros:
Context Encoders: Feature Learning by Inpainting. CoRR abs/1604.07379 (2016) - [i4]Deepak Pathak, Ross B. Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan:
Learning Features by Watching Objects Move. CoRR abs/1612.06370 (2016) - 2015
- [c5]Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko:
Detector discovery in the wild: Joint multiple instance and representation learning. CVPR 2015: 2883-2891 - [c4]Deepak Pathak, Sai Nitish Satyavolu, Vinay P. Namboodiri:
Where is my friend? - Person identification in social networks. FG 2015: 1-8 - [c3]Deepak Pathak, Philipp Krähenbühl, Trevor Darrell:
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation. ICCV 2015: 1796-1804 - [c2]Deepak Pathak, Abhijit Sharang, Amitabha Mukerjee:
Anomaly Localization in Topic-Based Analysis of Surveillance Videos. WACV 2015: 389-395 - [c1]Deepak Pathak, Evan Shelhamer, Jonathan Long, Trevor Darrell:
Fully Convolutional Multi-Class Multiple Instance Learning. ICLR (Workshop) 2015 - [i3]Deepak Pathak, Philipp Krähenbühl, Trevor Darrell:
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation. CoRR abs/1506.03648 (2015) - [i2]Deepak Pathak, Philipp Krähenbühl, Stella X. Yu, Trevor Darrell:
Constrained Structured Regression with Convolutional Neural Networks. CoRR abs/1511.07497 (2015) - 2014
- [i1]Judy Hoffman, Deepak Pathak, Trevor Darrell, Kate Saenko:
Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning. CoRR abs/1412.1135 (2014)
Coauthor Index
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