Abhinav Gupta

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 256

Top Venues

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Homanga Bharadhwaj, Roozbeh Mottaghi, Abhinav Gupta, Shubham Tulsiani
Track2Act: Predicting Point Tracks from Internet Videos enables Diverse Zero-shot Robot Manipulation. CoRR (2024)
Yibing Wei, Abhinav Gupta, Pedro Morgado
Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning. CoRR (2024)
Jared Mejia, Victoria Dean, Tess Lee Hellebrekers, Abhinav Gupta
Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation. ICRA (2024)
Justin Wasserman, Girish Chowdhary, Abhinav Gupta, Unnat Jain
Exploitation-Guided Exploration for Semantic Embodied Navigation. ICRA (2024)
Mohan Kumar Srirama, Sudeep Dasari, Shikhar Bahl, Abhinav Gupta
HRP: Human Affordances for Robotic Pre-Training. CoRR (2024)
Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani
Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. ICRA (2024)
Jared Mejia, Victoria Dean, Tess Lee Hellebrekers, Abhinav Gupta
Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation. CoRR (2024)
Yufei Ye, Abhinav Gupta, Kris Kitani, Shubham Tulsiani
G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis. CoRR (2024)
Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar
Zero-Shot Robot Manipulation from Passive Human Videos. CoRR (2023)
Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani
Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. CoRR (2023)
Jianren Wang, Sudeep Dasari, Mohan Kumar Srirama, Shubham Tulsiani, Abhinav Gupta
Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations. CoRR (2023)
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 (2023)
Gaoyue Zhou, Liyiming Ke, Siddhartha S. Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar
Real World Offline Reinforcement Learning with Realistic Data Source. ICRA (2023)
Yufei Ye, Xueting Li, Abhinav Gupta, Shalini De Mello, Stan Birchfield, Jiaming Song, Shubham Tulsiani, Sifei Liu
Affordance Diffusion: Synthesizing Hand-Object Interactions. CoRR (2023)
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)
Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani
Visual Affordance Prediction for Guiding Robot Exploration. ICRA (2023)
Sam Powers, Eliot Xing, Abhinav Gupta
Self-Activating Neural Ensembles for Continual Reinforcement Learning. CoRR (2023)
Sudeep Dasari, Mohan Kumar Srirama, Unnat Jain, Abhinav Gupta
An Unbiased Look at Datasets for Visuo-Motor Pre-Training. CoRL (2023)
Sam Powers, Abhinav Gupta, Chris Paxton
Evaluating Continual Learning on a Home Robot. CoRR (2023)
Yufei Ye, Poorvi Hebbar, Abhinav Gupta, Shubham Tulsiani
Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips. CoRR (2023)
Sudeep Dasari, Abhinav Gupta, Vikash Kumar
Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps. ICRA (2023)
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) (2023)
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) (2023)
Sudeep Dasari, Mohan Kumar Srirama, Unnat Jain, Abhinav Gupta
An Unbiased Look at Datasets for Visuo-Motor Pre-Training. CoRR (2023)
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)
Sam Powers, Abhinav Gupta, Chris Paxton
Evaluating Continual Learning on a Home Robot. CoLLAs (2023)
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 (2023)
Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani
Visual Affordance Prediction for Guiding Robot Exploration. CoRR (2023)
Jianren Wang, Sudeep Dasari, Mohan Kumar Srirama, Shubham Tulsiani, Abhinav Gupta
Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations. ICCV (2023)
Yufei Ye, Poorvi Hebbar, Abhinav Gupta, Shubham Tulsiani
Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips. ICCV (2023)
Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta
The Challenges of Continuous Self-Supervised Learning. CoRR (2022)
Kalyan Vasudev Alwala, Abhinav Gupta, Shubham Tulsiani
Pretrain, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction. CVPR (2022)
Himangi Mittal, Pedro Morgado, Unnat Jain, Abhinav Gupta
Learning State-Aware Visual Representations from Audible Interactions. CoRR (2022)
Yuchen Cui, Scott Niekum, Abhinav Gupta, Vikash Kumar, Aravind Rajeswaran
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? CoRR (2022)
Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. CoRR (2022)
Yuchen Cui, Scott Niekum, Abhinav Gupta, Vikash Kumar, Aravind Rajeswaran
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? L4DC (2022)
Shikhar Bahl, Abhinav Gupta, Deepak Pathak
Human-to-Robot Imitation in the Wild. CoRR (2022)
Gaoyue Zhou, Liyiming Ke, Siddhartha S. Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar
Real World Offline Reinforcement Learning with Realistic Data Source. CoRR (2022)
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)
Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta
R3M: A Universal Visual Representation for Robot Manipulation. CoRL (2022)
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 (2022)
Sam Powers, Eliot Xing, Abhinav Gupta
Self-Activating Neural Ensembles for Continual Reinforcement Learning. CoLLAs (2022)
Sudeep Dasari, Abhinav Gupta, Vikash Kumar
Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps. CoRR (2022)
Justin Wasserman, Karmesh Yadav, Girish Chowdhary, Abhinav Gupta, Unnat Jain
Last-Mile Embodied Visual Navigation. CoRR (2022)
Kalyan Vasudev Alwala, Abhinav Gupta, Shubham Tulsiani
Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction. CoRR (2022)
Yufei Ye, Abhinav Gupta, Shubham Tulsiani
What's in your hands? 3D Reconstruction of Generic Objects in Hands. CVPR (2022)
Yufei Ye, Abhinav Gupta, Shubham Tulsiani
What's in your hands? 3D Reconstruction of Generic Objects in Hands. CoRR (2022)
Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. ICML (2022)
Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta
The Challenges of Continuous Self-Supervised Learning. ECCV (26) (2022)
Shikhar Bahl, Abhinav Gupta, Deepak Pathak
Human-to-Robot Imitation in the Wild. Robotics: Science and Systems (2022)
Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta
R3M: A Universal Visual Representation for Robot Manipulation. CoRR (2022)
Bernardo Aceituno-Cabezas, Alberto Rodriguez, Shubham Tulsiani, Abhinav Gupta, Mustafa Mukadam
A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation. CoRR (2021)
Zihang Lai, Senthil Purushwalkam, Abhinav Gupta
The Functional Correspondence Problem. ICCV (2021)
Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration. NeurIPS (2021)
Shubham Tulsiani, Abhinav Gupta
PixelTransformer: Sample Conditioned Signal Generation. CoRR (2021)
Shikhar Bahl, Abhinav Gupta, Deepak Pathak
Hierarchical Neural Dynamic Policies. Robotics: Science and Systems (2021)
Yufei Ye, Shubham Tulsiani, Abhinav Gupta
Shelf-Supervised Mesh Prediction in the Wild. CVPR (2021)
Yufei Ye, Shubham Tulsiani, Abhinav Gupta
Shelf-Supervised Mesh Prediction in the Wild. CoRR (2021)
Kenneth Marino, Xinlei Chen, Devi Parikh, Abhinav Gupta, Marcus Rohrbach
KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA. CVPR (2021)
Senthil Purushwalkam, Sebastia Vicenc Amengual Gari, Vamsi Krishna Ithapu, Carl Schissler, Philip Robinson, Abhinav Gupta, Kristen Grauman
Audio-Visual Floorplan Reconstruction. ICCV (2021)
Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani
Where2Act: From Pixels to Actions for Articulated 3D Objects. ICCV (2021)
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)
Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration. CoRR (2021)
Meera Hahn, Devendra Singh Chaplot, Shubham Tulsiani, Mustafa Mukadam, James M. Rehg, Abhinav Gupta
No RL, No Simulation: Learning to Navigate without Navigating. CoRR (2021)
Bernardo Aceituno-Cabezas, Alberto Rodriguez, Shubham Tulsiani, Abhinav Gupta, Mustafa Mukadam
A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation. CoRL (2021)
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)
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)
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)
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 (2021)
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 (2021)
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) (2021)
Shubham Tulsiani, Abhinav Gupta
PixelTransformer: Sample Conditioned Signal Generation. ICML (2021)
Sam Powers, Eliot Xing, Eric Kolve, Roozbeh Mottaghi, Abhinav Gupta
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents. CoRR (2021)
Shikhar Bahl, Abhinav Gupta, Deepak Pathak
Hierarchical Neural Dynamic Policies. CoRR (2021)
Victoria Dean, Yonadav G. Shavit, Abhinav Gupta
Robots on Demand: A Democratized Robotics Research Cloud. CoRL (2021)
Valerie Chen, Abhinav Gupta, Kenneth Marino
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning. ICLR (2021)
Zihang Lai, Senthil Purushwalkam, Abhinav Gupta
The Functional Correspondence Problem. CoRR (2021)
Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani
Where2Act: From Pixels to Actions for Articulated 3D Objects. CoRR (2021)
Devendra Singh Chaplot, Dhiraj Gandhi, Abhinav Gupta, Ruslan Salakhutdinov
Object Goal Navigation using Goal-Oriented Semantic Exploration. CoRR (2020)
Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta
Efficient Bimanual Manipulation Using Learned Task Schemas. ICRA (2020)
Senthil Purushwalkam, Sebastia Vicenc Amengual Gari, Vamsi Krishna Ithapu, Carl Schissler, Philip Robinson, Abhinav Gupta, Kristen Grauman
Audio-Visual Floorplan Reconstruction. CoRR (2020)
Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan
ClusterFit: Improving Generalization of Visual Representations. CVPR (2020)
Tanmay Shankar, Abhinav Gupta
Learning Robot Skills with Temporal Variational Inference. ICML (2020)
Tanmay Shankar, Abhinav Gupta
Learning Robot Skills with Temporal Variational Inference. CoRR (2020)
Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, Lerrel Pinto
Visual Imitation Made Easy. CoRR (2020)
Devendra Singh Chaplot, Dhiraj Gandhi, Abhinav Gupta, Russ R. Salakhutdinov
Object Goal Navigation using Goal-Oriented Semantic Exploration. NeurIPS (2020)
Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, Lerrel Pinto
Visual Imitation Made Easy. CoRL (2020)
Senthil Purushwalkam, Abhinav Gupta
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases. CoRR (2020)
Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta, Saurabh Gupta
Neural Topological SLAM for Visual Navigation. CVPR (2020)
Shikhar Bahl, Mustafa Mukadam, Abhinav Gupta, Deepak Pathak
Neural Dynamic Policies for End-to-End Sensorimotor Learning. NeurIPS (2020)
Adithyavairavan Murali, Weiyu Liu, Kenneth Marino, Sonia Chernova, Abhinav Gupta
Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping. CoRR (2020)
Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta
Aligning Videos in Space and Time. CoRR (2020)
Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta
Aligning Videos in Space and Time. ECCV (26) (2020)
Kiana Ehsani, Shubham Tulsiani, Saurabh Gupta, Ali Farhadi, Abhinav Gupta
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects. CVPR (2020)
Adithyavairavan Murali, Weiyu Liu, Kenneth Marino, Sonia Chernova, Abhinav Gupta
Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping. CoRL (2020)
Dhiraj Gandhi, Abhinav Gupta, Lerrel Pinto
Swoosh! Rattle! Thump! - Actions that Sound. CoRR (2020)
Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta
Intrinsic Motivation for Encouraging Synergistic Behavior. CoRR (2020)
Shikhar Bahl, Mustafa Mukadam, Abhinav Gupta, Deepak Pathak
Neural Dynamic Policies for End-to-End Sensorimotor Learning. CoRR (2020)
Senthil Purushwalkam, Abhinav Gupta
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases. NeurIPS (2020)
Dhiraj Gandhi, Abhinav Gupta, Lerrel Pinto
Swoosh! Rattle! Thump! - Actions that Sound. Robotics: Science and Systems (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Abhinav Gupta