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2020 – today
- 2023
[c60]Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran:
FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation. WACV 2023: 2070-2081- [i55]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) - [i54]Russell Mendonca, Shikhar Bahl, Deepak Pathak:
ALAN: Autonomously Exploring Robotic Agents in the Real World. CoRR abs/2302.06604 (2023) - [i53]Alexander C. Li, Ellis Brown, Alexei A. Efros, Deepak Pathak:
Internet Explorer: Targeted Representation Learning on the Open Web. CoRR abs/2302.14051 (2023) - [i52]Xuxin Cheng, Ashish Kumar, Deepak Pathak:
Legs as Manipulator: Pushing Quadrupedal Agility Beyond Locomotion. CoRR abs/2303.11330 (2023) - 2022
- [c59]Zipeng Fu, Xuxin Cheng, Deepak Pathak:
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion. CoRL 2022: 138-149 - [c58]Ananye Agarwal, Ashish Kumar, Jitendra Malik, Deepak Pathak:
Legged Locomotion in Challenging Terrains using Egocentric Vision. CoRL 2022: 403-415 - [c57]Xingyu Liu, Deepak Pathak, Kris M. Kitani:
HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration. CoRL 2022: 447-458 - [c56]Kenneth Shaw, Shikhar Bahl, Deepak Pathak:
VideoDex: Learning Dexterity from Internet Videos. CoRL 2022: 654-665 - [c55]Shivam Duggal, Deepak Pathak:
Topologically-Aware Deformation Fields for Single-View 3D Reconstruction. CVPR 2022: 1526-1536 - [c54]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 - [c53]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 - [c52]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 - [c51]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 - [c50]Alexander C. Li, Alexei A. Efros, Deepak Pathak:
Understanding Collapse in Non-contrastive Siamese Representation Learning. ECCV (31) 2022: 490-505 - [c49]Wenlong Huang, Pieter Abbeel, Deepak Pathak, Igor Mordatch:
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents. ICML 2022: 9118-9147 - [c48]Xingyu Liu, Deepak Pathak, Kris Kitani:
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer. ICML 2022: 13995-14007 - [c47]Parsa Mahmoudieh, Deepak Pathak, Trevor Darrell:
Zero-Shot Reward Specification via Grounded Natural Language. ICML 2022: 14743-14752 - [c46]Ashish Kumar, Zhongyu Li, Jun Zeng, Deepak Pathak, Koushil Sreenath, Jitendra Malik:
Adapting Rapid Motor Adaptation for Bipedal Robots. IROS 2022: 1161-1168 - [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]Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta:
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration. NeurIPS 2021: 20516-20530 - [c38]Murtaza Dalal, Deepak Pathak, Ruslan Salakhutdinov:
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives. NeurIPS 2021: 21847-21859 - [c37]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 - [c36]Alexander C. Li, Deepak Pathak:
Functional Regularization for Reinforcement Learning via Learned Fourier Features. NeurIPS 2021: 19046-19055 - [c35]Zhiqiu Lin, Jia Shi, Deepak Pathak, Deva Ramanan:
The CLEAR Benchmark: Continual LEArning on Real-World Imagery. NeurIPS Datasets and Benchmarks 2021 - [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 PC, 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, Harrison 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, Harrison 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)