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ORCIDAbhinav Gupta 0001
Person information
- affiliation: Facebook AI Research (FAIR), Pittsburgh, PA, USA
- affiliation: Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA
- not to be confused with: Abhinav Gupta 0002
Other persons with the same name
- Abhinav Gupta — disambiguation page
- Abhinav Gupta 0002
![[0000-0002-3646-2421]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3646-2421")
— New York University, NY, USA (and 2 more) - Abhinav Gupta 0003 — Oracle Corporation, Redwood Shores, CA, USA
- Abhinav Gupta 0004 — Indian Institute of Information Technology, Allahabad, India
- Abhinav Gupta 0005 — North Carolina State University, Raleigh, USA
- Abhinav Gupta 0006 — Jaypee Institute of Information Technology, Noida, India
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2020 – today
- 2023
[i127]Sam Powers, Eliot Xing, Abhinav Gupta:
Self-Activating Neural Ensembles for Continual Reinforcement Learning. CoRR abs/2301.00141 (2023)- 2022
- [c150]Kalyan Vasudev Alwala, Abhinav Gupta, Shubham Tulsiani:
Pretrain, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction. CVPR 2022: 3763-3772 - [c149]Yufei Ye, Abhinav Gupta, Shubham Tulsiani:
What's in your hands? 3D Reconstruction of Generic Objects in Hands. CVPR 2022: 3885-3895 - [c148]Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta:
The Challenges of Continuous Self-Supervised Learning. ECCV (26) 2022: 702-721 - [c147]Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta:
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. ICML 2022: 17359-17371 - [c146]Yuchen Cui, Scott Niekum, Abhinav Gupta, Vikash Kumar, Aravind Rajeswaran:
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? L4DC 2022: 893-905 - [i126]Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta:
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. CoRR abs/2203.03580 (2022) - [i125]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) - [i124]Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta:
R3M: A Universal Visual Representation for Robot Manipulation. CoRR abs/2203.12601 (2022) - [i123]Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta:
The Challenges of Continuous Self-Supervised Learning. CoRR abs/2203.12710 (2022) - [i122]Kalyan Vasudev Alwala, Abhinav Gupta, Shubham Tulsiani:
Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction. CoRR abs/2204.03642 (2022) - [i121]Yufei Ye, Abhinav Gupta, Shubham Tulsiani:
What's in your hands? 3D Reconstruction of Generic Objects in Hands. CoRR abs/2204.07153 (2022) - [i120]Yuchen Cui, Scott Niekum, Abhinav Gupta, Vikash Kumar, Aravind Rajeswaran:
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? CoRR abs/2204.11134 (2022) - [i119]Shikhar Bahl, Abhinav Gupta, Deepak Pathak:
Human-to-Robot Imitation in the Wild. CoRR abs/2207.09450 (2022) - [i118]Sudeep Dasari, Abhinav Gupta, Vikash Kumar:
Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps. CoRR abs/2209.11221 (2022) - [i117]Himangi Mittal, Pedro Morgado, Unnat Jain, Abhinav Gupta:
Learning State-Aware Visual Representations from Audible Interactions. CoRR abs/2209.13583 (2022) - [i116]Gaoyue Zhou, Liyiming Ke, Siddhartha S. Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar:
Real World Offline Reinforcement Learning with Realistic Data Source. CoRR abs/2210.06479 (2022) - [i115]Justin Wasserman, Karmesh Yadav, Girish Chowdhary, Abhinav Gupta, Unnat Jain:
Last-Mile Embodied Visual Navigation. CoRR abs/2211.11746 (2022) - 2021
- [j12]Gang Hua, Derek Hoiem, Abhinav Gupta, Zhuowen Tu:
Editorial: Introduction to the Special Section on CVPR2019 Best Papers. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4203-4204 (2021) - [c145]Bernardo Aceituno-Cabezas, Alberto Rodriguez, Shubham Tulsiani, Abhinav Gupta, Mustafa Mukadam:
A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation. CoRL 2021: 137-147 - [c144]Victoria Dean, Yonadav G. Shavit, Abhinav Gupta:
Robots on Demand: A Democratized Robotics Research Cloud. CoRL 2021: 1769-1775 - [c143]Yufei Ye, Shubham Tulsiani, Abhinav Gupta:
Shelf-Supervised Mesh Prediction in the Wild. CVPR 2021: 8843-8852 - [c142]Kenneth Marino, Xinlei Chen, Devi Parikh, Abhinav Gupta, Marcus Rohrbach:
KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA. CVPR 2021: 14111-14121 - [c141]Senthil Purushwalkam, Sebastia Vicenc Amengual Gari, Vamsi Krishna Ithapu, Carl Schissler, Philip Robinson, Abhinav Gupta, Kristen Grauman:
Audio-Visual Floorplan Reconstruction. ICCV 2021: 1163-1172 - [c140]Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani:
Where2Act: From Pixels to Actions for Articulated 3D Objects. ICCV 2021: 6793-6803 - [c139]James Herman, Jonathan Francis, Siddha Ganju, Bingqing Chen, Anirudh Koul, Abhinav Gupta, Alexey Skabelkin, Ivan Zhukov, Max Kumskoy, Eric Nyberg:
Learn-to-Race: A Multimodal Control Environment for Autonomous Racing. ICCV 2021: 9773-9782 - [c138]Zihang Lai, Senthil Purushwalkam, Abhinav Gupta:
The Functional Correspondence Problem. ICCV 2021: 15752-15761 - [c137]Valerie Chen, Abhinav Gupta, Kenneth Marino:
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning. ICLR 2021 - [c136]Shubham Tulsiani, Abhinav Gupta:
PixelTransformer: Sample Conditioned Signal Generation. ICML 2021: 10455-10464 - [c135]Anurag Pratik, Soumith Chintala, Kavya Srinet, Dhiraj Gandhi, Rebecca Qian, Yuxuan Sun, Ryan Drew, Sara Elkafrawy, Anoushka Tiwari, Tucker Hart, Mary Williamson, Abhinav Gupta, Arthur Szlam:
droidlet: modular, heterogenous, multi-modal agents. ICRA 2021: 13716-13723 - [c134]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 - [c133]Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta:
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration. NeurIPS 2021: 20516-20530 - [c132]Meera Hahn, Devendra Singh Chaplot, Shubham Tulsiani, Mustafa Mukadam, James M. Rehg, Abhinav Gupta:
No RL, No Simulation: Learning to Navigate without Navigating. NeurIPS 2021: 26661-26673 - [c131]Shikhar Bahl, Abhinav Gupta, Deepak Pathak:
Hierarchical Neural Dynamic Policies. Robotics: Science and Systems 2021 - [i114]Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani:
Where2Act: From Pixels to Actions for Articulated 3D Objects. CoRR abs/2101.02692 (2021) - [i113]Anurag Pratik, Soumith Chintala, Kavya Srinet, Dhiraj Gandhi, Rebecca Qian, Yuxuan Sun, Ryan Drew, Sara Elkafrawy, Anoushka Tiwari, Tucker Hart, Mary Williamson, Abhinav Gupta, Arthur Szlam:
droidlet: modular, heterogenous, multi-modal agents. CoRR abs/2101.10384 (2021) - [i112]Yufei Ye, Shubham Tulsiani, Abhinav Gupta:
Shelf-Supervised Mesh Prediction in the Wild. CoRR abs/2102.06195 (2021) - [i111]James Herman, Jonathan Francis, Siddha Ganju, Bingqing Chen, Anirudh Koul, Abhinav Gupta, Alexey Skabelkin, Ivan Zhukov, Max Kumskoy, Eric Nyberg:
Learn-to-Race: A Multimodal Control Environment for Autonomous Racing. CoRR abs/2103.11575 (2021) - [i110]Shubham Tulsiani, Abhinav Gupta:
PixelTransformer: Sample Conditioned Signal Generation. CoRR abs/2103.15813 (2021) - [i109]Shikhar Bahl, Abhinav Gupta, Deepak Pathak:
Hierarchical Neural Dynamic Policies. CoRR abs/2107.05627 (2021) - [i108]Zihang Lai, Senthil Purushwalkam, Abhinav Gupta:
The Functional Correspondence Problem. CoRR abs/2109.01097 (2021) - [i107]Meera Hahn, Devendra Singh Chaplot, Shubham Tulsiani, Mustafa Mukadam, James M. Rehg, Abhinav Gupta:
No RL, No Simulation: Learning to Navigate without Navigating. CoRR abs/2110.09470 (2021) - [i106]Sam Powers, Eliot Xing, Eric Kolve, Roozbeh Mottaghi, Abhinav Gupta:
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents. CoRR abs/2110.10067 (2021) - [i105]Bernardo Aceituno-Cabezas, Alberto Rodriguez, Shubham Tulsiani, Abhinav Gupta, Mustafa Mukadam:
A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation. CoRR abs/2111.05318 (2021) - [i104]Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta:
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration. CoRR abs/2111.13119 (2021) - 2020
- [c130]Adithyavairavan Murali, Weiyu Liu, Kenneth Marino, Sonia Chernova, Abhinav Gupta:
Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping. CoRL 2020: 1540-1557 - [c129]Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, Lerrel Pinto:
Visual Imitation Made Easy. CoRL 2020: 1992-2005 - [c128]Sudeep Dasari, Abhinav Gupta:
Transformers for One-Shot Visual Imitation. CoRL 2020: 2071-2084 - [c127]Kiana Ehsani, Shubham Tulsiani, Saurabh Gupta, Ali Farhadi, Abhinav Gupta:
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects. CVPR 2020: 221-230 - [c126]Nilesh Kulkarni, Abhinav Gupta, David F. Fouhey, Shubham Tulsiani:
Articulation-Aware Canonical Surface Mapping. CVPR 2020: 449-458 - [c125]Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan:
ClusterFit: Improving Generalization of Visual Representations. CVPR 2020: 6508-6517 - [c124]Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta, Saurabh Gupta:
Neural Topological SLAM for Visual Navigation. CVPR 2020: 12872-12881 - [c123]Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta:
Aligning Videos in Space and Time. ECCV (26) 2020: 262-278 - [c122]Devendra Singh Chaplot, Helen Jiang, Saurabh Gupta, Abhinav Gupta:
Semantic Curiosity for Active Visual Learning. ECCV (6) 2020: 309-326 - [c121]Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, Ruslan Salakhutdinov:
Learning To Explore Using Active Neural SLAM. ICLR 2020 - [c120]Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta:
Intrinsic Motivation for Encouraging Synergistic Behavior. ICLR 2020 - [c119]Qian Long, Zihan Zhou, Abhinav Gupta, Fei Fang, Yi Wu, Xiaolong Wang:
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning. ICLR 2020 - [c118]Tanmay Shankar, Shubham Tulsiani, Lerrel Pinto, Abhinav Gupta:
Discovering Motor Programs by Recomposing Demonstrations. ICLR 2020 - [c117]William F. Whitney, Rajat Agarwal, Kyunghyun Cho, Abhinav Gupta:
Dynamics-Aware Embeddings. ICLR 2020 - [c116]Tanmay Shankar, Abhinav Gupta:
Learning Robot Skills with Temporal Variational Inference. ICML 2020: 8624-8633 - [c115]Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta:
Efficient Bimanual Manipulation Using Learned Task Schemas. ICRA 2020: 1149-1155 - [c114]Shikhar Bahl, Mustafa Mukadam, Abhinav Gupta, Deepak Pathak:
Neural Dynamic Policies for End-to-End Sensorimotor Learning. NeurIPS 2020 - [c113]Devendra Singh Chaplot, Dhiraj Gandhi, Abhinav Gupta, Ruslan Salakhutdinov:
Object Goal Navigation using Goal-Oriented Semantic Exploration. NeurIPS 2020 - [c112]Victoria Dean, Shubham Tulsiani, Abhinav Gupta:
See, Hear, Explore: Curiosity via Audio-Visual Association. NeurIPS 2020 - [c111]Senthil Purushwalkam, Abhinav Gupta:
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases. NeurIPS 2020 - [c110]Dhiraj Gandhi, Abhinav Gupta, Lerrel Pinto:
Swoosh! Rattle! Thump! - Actions that Sound. Robotics: Science and Systems 2020 - [i103]Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta:
Intrinsic Motivation for Encouraging Synergistic Behavior. CoRR abs/2002.05189 (2020) - [i102]Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Karteek Alahari:
Beyond the Camera: Neural Networks in World Coordinates. CoRR abs/2003.05614 (2020) - [i101]Qian Long, Zihan Zhou, Abhinav Gupta, Fei Fang, Yi Wu, Xiaolong Wang:
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning. CoRR abs/2003.10423 (2020) - [i100]Kiana Ehsani, Shubham Tulsiani, Saurabh Gupta, Ali Farhadi, Abhinav Gupta:
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects. CoRR abs/2003.12045 (2020) - [i99]Nilesh Kulkarni, Abhinav Gupta, David F. Fouhey, Shubham Tulsiani:
Articulation-aware Canonical Surface Mapping. CoRR abs/2004.00614 (2020) - [i98]Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, Ruslan Salakhutdinov:
Learning to Explore using Active Neural SLAM. CoRR abs/2004.05155 (2020) - [i97]Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta, Saurabh Gupta:
Neural Topological SLAM for Visual Navigation. CoRR abs/2005.12256 (2020) - [i96]Devendra Singh Chaplot, Helen Jiang, Saurabh Gupta, Abhinav Gupta:
Semantic Curiosity for Active Visual Learning. CoRR abs/2006.09367 (2020) - [i95]Kenneth Marino, Rob Fergus, Arthur Szlam, Abhinav Gupta:
Empirically Verifying Hypotheses Using Reinforcement Learning. CoRR abs/2006.15762 (2020) - [i94]Tanmay Shankar, Abhinav Gupta:
Learning Robot Skills with Temporal Variational Inference. CoRR abs/2006.16232 (2020) - [i93]Devendra Singh Chaplot, Dhiraj Gandhi, Abhinav Gupta, Ruslan Salakhutdinov:
Object Goal Navigation using Goal-Oriented Semantic Exploration. CoRR abs/2007.00643 (2020) - [i92]Dhiraj Gandhi, Abhinav Gupta, Lerrel Pinto:
Swoosh! Rattle! Thump! - Actions that Sound. CoRR abs/2007.01851 (2020) - [i91]Victoria Dean, Shubham Tulsiani, Abhinav Gupta:
See, Hear, Explore: Curiosity via Audio-Visual Association. CoRR abs/2007.03669 (2020) - [i90]Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta:
Aligning Videos in Space and Time. CoRR abs/2007.04515 (2020) - [i89]Shubham Tulsiani, Nilesh Kulkarni, Abhinav Gupta:
Implicit Mesh Reconstruction from Unannotated Image Collections. CoRR abs/2007.08504 (2020) - [i88]Senthil Purushwalkam, Abhinav Gupta:
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases. CoRR abs/2007.13916 (2020) - [i87]Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, Lerrel Pinto:
Visual Imitation Made Easy. CoRR abs/2008.04899 (2020) - [i86]Valerie Chen, Abhinav Gupta, Kenneth Marino:
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning. CoRR abs/2011.00517 (2020) - [i85]Sudeep Dasari, Abhinav Gupta:
Transformers for One-Shot Visual Imitation. CoRR abs/2011.05970 (2020) - [i84]Adithyavairavan Murali, Weiyu Liu, Kenneth Marino, Sonia Chernova, Abhinav Gupta:
Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping. CoRR abs/2011.06431 (2020) - [i83]Shikhar Bahl, Mustafa Mukadam, Abhinav Gupta, Deepak Pathak:
Neural Dynamic Policies for End-to-End Sensorimotor Learning. CoRR abs/2012.02788 (2020) - [i82]Kenneth Marino, Xinlei Chen, Devi Parikh, Abhinav Gupta, Marcus Rohrbach:
KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA. CoRR abs/2012.11014 (2020) - [i81]Senthil Purushwalkam, Sebastia Vicenc Amengual Gari, Vamsi Krishna Ithapu, Carl Schissler, Philip Robinson, Abhinav Gupta, Kristen Grauman:
Audio-Visual Floorplan Reconstruction. CoRR abs/2012.15470 (2020)
2010 – 2019
- 2019
- [j11]David F. Fouhey, Abhinav Gupta, Andrew Zisserman:
From Images to 3D Shape Attributes. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 93-106 (2019) - [c109]Yufei Ye, Dhiraj Gandhi, Abhinav Gupta, Shubham Tulsiani:
Object-centric Forward Modeling for Model Predictive Control. CoRL 2019: 100-109 - [c108]Nilesh Kulkarni, Shubham Tulsiani, Abhinav Gupta:
Canonical Surface Mapping via Geometric Cycle Consistency. ICCV 2019: 2202-2211 - [c107]Nilesh Kulkarni, Ishan Misra, Shubham Tulsiani, Abhinav Gupta:
3D-RelNet: Joint Object and Relational Network for 3D Prediction. ICCV 2019: 2212-2221 - [c106]Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'Aurelio Ranzato:
Task-Driven Modular Networks for Zero-Shot Compositional Learning. ICCV 2019: 3592-3601 - [c105]Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra:
Scaling and Benchmarking Self-Supervised Visual Representation Learning. ICCV 2019: 6390-6399 - [c104]Yufei Ye, Maneesh Singh, Abhinav Gupta, Shubham Tulsiani:
Compositional Video Prediction. ICCV 2019: 10352-10361 - [c103]Tao Chen, Saurabh Gupta, Abhinav Gupta:
Learning Exploration Policies for Navigation. ICLR (Poster) 2019 - [c102]Kenneth Marino, Abhinav Gupta, Rob Fergus, Arthur Szlam:
Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies. ICLR (Poster) 2019 - [c101]Senthil Purushwalkam, Abhinav Gupta, Danny M. Kaufman, Bryan C. Russell:
Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces. ICLR (Poster) 2019 - [c100]Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta, Roozbeh Mottaghi:
Visual Semantic Navigation using Scene Priors. ICLR (Poster) 2019 - [c99]Wenxuan Zhou, Lerrel Pinto, Abhinav Gupta:
Environment Probing Interaction Policies. ICLR (Poster) 2019 - [c98]Deepak Pathak, Dhiraj Gandhi, Abhinav Gupta:
Self-Supervised Exploration via Disagreement. ICML 2019: 5062-5071 - [c97]Pratyusha Sharma, Deepak Pathak, Abhinav Gupta:
Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller. NeurIPS 2019: 2593-2603 - [i80]Tao Chen, Saurabh Gupta, Abhinav Gupta:
Learning Exploration Policies for Navigation. CoRR abs/1903.01959 (2019) - [i79]Senthil Purushwalkam, Abhinav Gupta, Danny M. Kaufman, Bryan C. Russell:
Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces. CoRR abs/1904.06827 (2019) - [i78]Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra:
Scaling and Benchmarking Self-Supervised Visual Representation Learning. CoRR abs/1905.01235 (2019) - [i77]Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'Aurelio Ranzato:
Task-Driven Modular Networks for Zero-Shot Compositional Learning. CoRR abs/1905.05908 (2019) - [i76]Nilesh Kulkarni, Ishan Misra, Shubham Tulsiani, Abhinav Gupta:
3D-RelNet: Joint Object and Relational Network for 3D Prediction. CoRR abs/1906.02729 (2019) - [i75]Deepak Pathak, Dhiraj Gandhi, Abhinav Gupta:
Self-Supervised Exploration via Disagreement. CoRR abs/1906.04161 (2019) - [i74]Adithyavairavan Murali, Tao Chen, Kalyan Vasudev Alwala, Dhiraj Gandhi, Lerrel Pinto, Saurabh Gupta, Abhinav Gupta:
PyRobot: An Open-source Robotics Framework for Research and Benchmarking. CoRR abs/1906.08236 (2019) - [i73]Nilesh Kulkarni, Abhinav Gupta, Shubham Tulsiani:
Canonical Surface Mapping via Geometric Cycle Consistency. CoRR abs/1907.10043 (2019) - [i72]Wenxuan Zhou, Lerrel Pinto, Abhinav Gupta:
Environment Probing Interaction Policies. CoRR abs/1907.11740 (2019) - [i71]Yufei Ye, Maneesh Singh, Abhinav Gupta, Shubham Tulsiani:
Compositional Video Prediction. CoRR abs/1908.08522 (2019) - [i70]William F. Whitney, Rajat Agarwal, Kyunghyun Cho, Abhinav Gupta:
Dynamics-aware Embeddings. CoRR abs/1908.09357 (2019) - [i69]Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta:
Efficient Bimanual Manipulation Using Learned Task Schemas. CoRR abs/1909.13874 (2019) - [i68]Yufei Ye, Dhiraj Gandhi, Abhinav Gupta, Shubham Tulsiani:
Object-centric Forward Modeling for Model Predictive Control. CoRR abs/1910.03568 (2019) - [i67]Pratyusha Sharma, Deepak Pathak, Abhinav Gupta:
Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller. CoRR abs/1911.09676 (2019) - [i66]Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan:
ClusterFit: Improving Generalization of Visual Representations. CoRR abs/1912.03330 (2019) - 2018
- [j10]Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling:
Never-ending learning. Commun. ACM 61(5): 103-115 (2018) - [c96]Pratyusha Sharma, Lekha Mohan, Lerrel Pinto, Abhinav Gupta:
Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation. CoRL 2018: 906-915 - [c95]Ishan Misra, Ross B. Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten:
Learning by Asking Questions. CVPR 2018: 11-20 - [c94]