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Abhinav 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
— Google DeepMind, London, UK (and 4 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
- 2024
- [c176]Yufei Ye, Abhinav Gupta, Kris Kitani, Shubham Tulsiani:
G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis. CVPR 2024: 1911-1920 - [c175]Yibing Wei, Abhinav Gupta, Pedro Morgado:
Towards Latent Masked Image Modeling for Self-supervised Visual Representation Learning. ECCV (39) 2024: 1-17 - [c174]Homanga Bharadhwaj, Roozbeh Mottaghi, Abhinav Gupta, Shubham Tulsiani:
Track2Act: Predicting Point Tracks from Internet Videos Enables Generalizable Robot Manipulation. ECCV (76) 2024: 306-324 - [c173]Raunaq M. Bhirangi, Chenyu Wang, Venkatesh Pattabiraman, Carmel Majidi, Abhinav Gupta, Tess Lee Hellebrekers, Lerrel Pinto:
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling. ICML 2024 - [c172]Justin Wasserman, Girish Chowdhary, Abhinav Gupta, Unnat Jain:
Exploitation-Guided Exploration for Semantic Embodied Navigation. ICRA 2024: 2901-2908 - [c171]Homanga Bharadhwaj, Jay Vakil, Mohit Sharma, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar:
RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking. ICRA 2024: 4788-4795 - [c170]Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani:
Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. ICRA 2024: 6904-6911 - [c169]Jared Mejia, Victoria Dean, Tess Lee Hellebrekers, Abhinav Gupta:
Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation. ICRA 2024: 6912-6919 - [c168]Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha, Arhan Jain, Abraham Lee, Youngwoon Lee, Marius Memmel, Sungjae Park, Ilija Radosavovic, Kaiyuan Wang, Albert Zhan, Kevin Black, Cheng Chi, Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, Jensen Gao, David Antonio Herrera, Minho Heo, Kyle Hsu, Jiaheng Hu, Donovon Jackson, Charlotte Le, Yunshuang Li, Roy Lin, Zehan Ma, Abhiram Maddukuri, Suvir Mirchandani, Daniel Morton, Tony Nguyen, Abigail O'Neill, Rosario Scalise, Derick Seale, Victor Son, Stephen Tian, Emi Tran, Andrew E. Wang, Yilin Wu, Annie Xie, Jingyun Yang, Patrick Yin, Yunchu Zhang, Osbert Bastani, Glen Berseth, Jeannette Bohg, Ken Goldberg, Abhinav Gupta, Abhishek Gupta, Dinesh Jayaraman, Joseph J. Lim, Jitendra Malik, Roberto Martín-Martín, Subramanian Ramamoorthy, Dorsa Sadigh, Shuran Song, Jiajun Wu, Michael C. Yip, Yuke Zhu, Thomas Kollar, Sergey Levine, Chelsea Finn:
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. Robotics: Science and Systems 2024 - [c167]Mohan Kumar Srirama, Sudeep Dasari, Shikhar Bahl, Abhinav Gupta:
HRP: Human affordances for Robotic Pre-training. Robotics: Science and Systems 2024 - [i148]Raunaq M. Bhirangi, Chenyu Wang, Venkatesh Pattabiraman, Carmel Majidi, Abhinav Gupta, Tess Lee Hellebrekers, Lerrel Pinto:
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling. CoRR abs/2402.10211 (2024) - [i147]Yufei Ye, Abhinav Gupta, Kris Kitani, Shubham Tulsiani:
G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis. CoRR abs/2404.12383 (2024) - [i146]Homanga Bharadhwaj, Roozbeh Mottaghi, Abhinav Gupta, Shubham Tulsiani:
Track2Act: Predicting Point Tracks from Internet Videos enables Diverse Zero-shot Robot Manipulation. CoRR abs/2405.01527 (2024) - [i145]Jared Mejia, Victoria Dean, Tess Lee Hellebrekers, Abhinav Gupta:
Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation. CoRR abs/2405.08576 (2024) - [i144]Yibing Wei, Abhinav Gupta, Pedro Morgado:
Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning. CoRR abs/2407.15837 (2024) - [i143]Mohan Kumar Srirama, Sudeep Dasari, Shikhar Bahl, Abhinav Gupta:
HRP: Human Affordances for Robotic Pre-Training. CoRR abs/2407.18911 (2024) - [i142]Kiyn Chin, Carmel Majidi, Abhinav Gupta:
1 Modular Parallel Manipulator for Long-Term Soft Robotic Data Collection. CoRR abs/2409.03614 (2024) - [i141]Homanga Bharadhwaj, Debidatta Dwibedi, Abhinav Gupta, Shubham Tulsiani, Carl Doersch, Ted Xiao, Dhruv Shah, Fei Xia, Dorsa Sadigh, Sean Kirmani:
Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation. CoRR abs/2409.16283 (2024) - [i140]Chen Bao, Jiarui Xu, Xiaolong Wang, Abhinav Gupta, Homanga Bharadhwaj:
HandsOnVLM: Vision-Language Models for Hand-Object Interaction Prediction. CoRR abs/2412.13187 (2024) - 2023
- [j14]Song Bai
, Philip H. S. Torr, Ranjay Krishna, Li Fei-Fei, Abhinav Gupta, Song-Chun Zhu:
Guest Editorial: Introduction to the Special Section on Graphs in Vision and Pattern Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6867-6869 (2023) - [j13]Raunaq M. Bhirangi
, Abigail DeFranco
, Jacob Adkins
, Carmel Majidi
, Abhinav Gupta
, Tess Lee Hellebrekers
, Vikash Kumar
:
All the Feels: A Dexterous Hand With Large-Area Tactile Sensing. IEEE Robotics Autom. Lett. 8(12): 8311-8318 (2023) - [c166]Sam Powers, Abhinav Gupta, Chris Paxton:
Evaluating Continual Learning on a Home Robot. CoLLAs 2023: 493-512 - [c165]Sudeep Dasari, Mohan Kumar Srirama, Unnat Jain, Abhinav Gupta:
An Unbiased Look at Datasets for Visuo-Motor Pre-Training. CoRL 2023: 1183-1198 - [c164]Yufei Ye, Xueting Li, Abhinav Gupta, Shalini De Mello, Stan Birchfield, Jiaming Song, Shubham Tulsiani, Sifei Liu:
Affordance Diffusion: Synthesizing Hand-Object Interactions. CVPR 2023: 22479-22489 - [c163]Jianren Wang, Sudeep Dasari, Mohan Kumar Srirama, Shubham Tulsiani, Abhinav Gupta:
Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations. ICCV 2023: 3836-3845 - [c162]Yufei Ye, Poorvi Hebbar, Abhinav Gupta, Shubham Tulsiani:
Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips. ICCV 2023: 19660-19671 - [c161]Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani:
Visual Affordance Prediction for Guiding Robot Exploration. ICRA 2023: 3029-3036 - [c160]Sudeep Dasari, Abhinav Gupta, Vikash Kumar:
Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps. ICRA 2023: 3889-3896 - [c159]Gaoyue Zhou, Liyiming Ke, Siddhartha S. Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar:
Real World Offline Reinforcement Learning with Realistic Data Source. ICRA 2023: 7176-7183 - [c158]Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn
, Abhinav Gupta:
Train Offline, Test Online: A Real Robot Learning Benchmark. ICRA 2023: 9197-9203 - [c157]Vani Sundaram, Raunaq M. Bhirangi, Mark E. Rentschler, Abhinav Gupta, Tess Lee Hellebrekers:
DragonClaw: A low-cost pneumatic gripper with integrated magnetic sensing. RoboSoft 2023: 1-8 - [i139]Sam Powers, Eliot Xing, Abhinav Gupta:
Self-Activating Neural Ensembles for Continual Reinforcement Learning. CoRR abs/2301.00141 (2023) - [i138]Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar:
Zero-Shot Robot Manipulation from Passive Human Videos. CoRR abs/2302.02011 (2023) - [i137]Jianren Wang, Sudeep Dasari, Mohan Kumar Srirama, Shubham Tulsiani, Abhinav Gupta:
Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations. CoRR abs/2303.08135 (2023) - [i136]Yufei Ye, Xueting Li, Abhinav Gupta, Shalini De Mello, Stan Birchfield, Jiaming Song, Shubham Tulsiani, Sifei Liu:
Affordance Diffusion: Synthesizing Hand-Object Interactions. CoRR abs/2303.12538 (2023) - [i135]Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani:
Visual Affordance Prediction for Guiding Robot Exploration. CoRR abs/2305.17783 (2023) - [i134]Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn, Abhinav Gupta:
Train Offline, Test Online: A Real Robot Learning Benchmark. CoRR abs/2306.00942 (2023) - [i133]Sam Powers, Abhinav Gupta, Chris Paxton:
Evaluating Continual Learning on a Home Robot. CoRR abs/2306.02413 (2023) - [i132]Homanga Bharadhwaj, Jay Vakil, Mohit Sharma, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar:
RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking. CoRR abs/2309.01918 (2023) - [i131]Yufei Ye, Poorvi Hebbar, Abhinav Gupta, Shubham Tulsiani:
Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips. CoRR abs/2309.05663 (2023) - [i130]Sudeep Dasari, Mohan Kumar Srirama, Unnat Jain, Abhinav Gupta:
An Unbiased Look at Datasets for Visuo-Motor Pre-Training. CoRR abs/2310.09289 (2023) - [i129]Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani:
Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. CoRR abs/2312.00775 (2023) - 2022
- [c156]Sam Powers, Eliot Xing, Abhinav Gupta:
Self-Activating Neural Ensembles for Continual Reinforcement Learning. CoLLAs 2022: 683-704 - [c155]Sam Powers, Eliot Xing, Eric Kolve, Roozbeh Mottaghi, Abhinav Gupta:
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents. CoLLAs 2022: 705-743 - [c154]Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta:
R3M: A Universal Visual Representation for Robot Manipulation. CoRL 2022: 892-909 - [c153]Kalyan Vasudev Alwala, Abhinav Gupta, Shubham Tulsiani:
Pretrain, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction. CVPR 2022: 3763-3772 - [c152]Yufei Ye, Abhinav Gupta, Shubham Tulsiani:
What's in your hands? 3D Reconstruction of Generic Objects in Hands. CVPR 2022: 3885-3895 - [c151]Senthil Purushwalkam, Pedro Morgado
, Abhinav Gupta:
The Challenges of Continuous Self-Supervised Learning. ECCV (26) 2022: 702-721 - [c150]Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta:
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. ICML 2022: 17359-17371 - [c149]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 - [c148]Himangi Mittal, Pedro Morgado, Unnat Jain, Abhinav Gupta:
Learning State-Aware Visual Representations from Audible Interactions. NeurIPS 2022 - [c147]Shikhar Bahl, Abhinav Gupta, Deepak Pathak:
Human-to-Robot Imitation in the Wild. Robotics: Science and Systems 2022 - [i128]Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta:
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. CoRR abs/2203.03580 (2022) - [i127]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) - [i126]Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta:
R3M: A Universal Visual Representation for Robot Manipulation. CoRR abs/2203.12601 (2022) - [i125]Senthil Purushwalkam, Pedro Morgado
, Abhinav Gupta:
The Challenges of Continuous Self-Supervised Learning. CoRR abs/2203.12710 (2022) - [i124]Kalyan Vasudev Alwala, Abhinav Gupta, Shubham Tulsiani:
Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction. CoRR abs/2204.03642 (2022) - [i123]Yufei Ye, Abhinav Gupta, Shubham Tulsiani:
What's in your hands? 3D Reconstruction of Generic Objects in Hands. CoRR abs/2204.07153 (2022) - [i122]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) - [i121]Shikhar Bahl, Abhinav Gupta, Deepak Pathak:
Human-to-Robot Imitation in the Wild. CoRR abs/2207.09450 (2022) - [i120]Sudeep Dasari, Abhinav Gupta, Vikash Kumar:
Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps. CoRR abs/2209.11221 (2022) - [i119]Himangi Mittal, Pedro Morgado
, Unnat Jain, Abhinav Gupta:
Learning State-Aware Visual Representations from Audible Interactions. CoRR abs/2209.13583 (2022) - [i118]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) - [i117]Raunaq M. Bhirangi, Abigail DeFranco, Jacob Adkins, Carmel Majidi, Abhinav Gupta, Tess Lee Hellebrekers, Vikash Kumar:
All the Feels: A dexterous hand with large area sensing. CoRR abs/2210.15658 (2022) - [i116]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) - [c146]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 - [c145]Raunaq M. Bhirangi, Tess Lee Hellebrekers, Carmel Majidi, Abhinav Gupta:
ReSkin: versatile, replaceable, lasting tactile skins. CoRL 2021: 587-597 - [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 W. 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 - [i115]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) - [i114]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) - [i113]Yufei Ye, Shubham Tulsiani, Abhinav Gupta:
Shelf-Supervised Mesh Prediction in the Wild. CoRR abs/2102.06195 (2021) - [i112]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) - [i111]Shubham Tulsiani, Abhinav Gupta:
PixelTransformer: Sample Conditioned Signal Generation. CoRR abs/2103.15813 (2021) - [i110]Shikhar Bahl, Abhinav Gupta, Deepak Pathak:
Hierarchical Neural Dynamic Policies. CoRR abs/2107.05627 (2021) - [i109]Zihang Lai, Senthil Purushwalkam, Abhinav Gupta:
The Functional Correspondence Problem. CoRR abs/2109.01097 (2021) - [i108]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) - [i107]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) - [i106]Raunaq M. Bhirangi, Tess Lee Hellebrekers, Carmel Majidi, Abhinav Gupta:
ReSkin: versatile, replaceable, lasting tactile skins. CoRR abs/2111.00071 (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]