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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.org/img/orcid-mark.12x12.png "0000-0002-3646-2421")
— 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
- Abhinav Gupta 0007 — University of New Hampshire, Department of Computer Science, Durham, NH, USA
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2020 – today
- 2025
[i150]Jianren Wang, Yifan Su, Abhinav Gupta, Deepak Pathak:
Evolutionary Policy Optimization. CoRR abs/2503.19037 (2025)- 2024
- [c177]Yufei Ye, Abhinav Gupta, Kris Kitani, Shubham Tulsiani:
G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis. CVPR 2024: 1911-1920 - [c176]Yibing Wei, Abhinav Gupta, Pedro Morgado:
Towards Latent Masked Image Modeling for Self-supervised Visual Representation Learning. ECCV (39) 2024: 1-17 - [c175]Homanga Bharadhwaj, Roozbeh Mottaghi, Abhinav Gupta, Shubham Tulsiani:
Track2Act: Predicting Point Tracks from Internet Videos Enables Generalizable Robot Manipulation. ECCV (76) 2024: 306-324 - [c174]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 - [c173]Justin Wasserman, Girish Chowdhary, Abhinav Gupta, Unnat Jain:
Exploitation-Guided Exploration for Semantic Embodied Navigation. ICRA 2024: 2901-2908 - [c172]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 - [c171]Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani:
Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. ICRA 2024: 6904-6911 - [c170]Jared Mejia, Victoria Dean, Tess Lee Hellebrekers, Abhinav Gupta:
Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation. ICRA 2024: 6912-6919 - [c169]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 - [c168]Mohan Kumar Srirama, Sudeep Dasari, Shikhar Bahl, Abhinav Gupta:
HRP: Human affordances for Robotic Pre-training. Robotics: Science and Systems 2024 - [i149]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) - [i148]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) - [i147]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) - [i146]Jared Mejia, Victoria Dean, Tess Lee Hellebrekers, Abhinav Gupta:
Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation. CoRR abs/2405.08576 (2024) - [i145]Yibing Wei, Abhinav Gupta, Pedro Morgado:
Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning. CoRR abs/2407.15837 (2024) - [i144]Mohan Kumar Srirama, Sudeep Dasari, Shikhar Bahl, Abhinav Gupta:
HRP: Human Affordances for Robotic Pre-Training. CoRR abs/2407.18911 (2024) - [i143]Kiyn Chin, Carmel Majidi, Abhinav Gupta:
1 Modular Parallel Manipulator for Long-Term Soft Robotic Data Collection. CoRR abs/2409.03614 (2024) - [i142]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) - [i141]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) - [c167]Sam Powers, Abhinav Gupta, Chris Paxton:
Evaluating Continual Learning on a Home Robot. CoLLAs 2023: 493-512 - [c166]Sudeep Dasari, Mohan Kumar Srirama, Unnat Jain, Abhinav Gupta:
An Unbiased Look at Datasets for Visuo-Motor Pre-Training. CoRL 2023: 1183-1198 - [c165]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 - [c164]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 - [c163]Yufei Ye, Poorvi Hebbar, Abhinav Gupta, Shubham Tulsiani:
Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips. ICCV 2023: 19660-19671 - [c162]Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani:
Visual Affordance Prediction for Guiding Robot Exploration. ICRA 2023: 3029-3036 - [c161]Sudeep Dasari, Abhinav Gupta, Vikash Kumar:
Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps. ICRA 2023: 3889-3896 - [c160]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 - [c159]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 - [c158]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 - [i140]Sam Powers, Eliot Xing, Abhinav Gupta:
Self-Activating Neural Ensembles for Continual Reinforcement Learning. CoRR abs/2301.00141 (2023) - [i139]Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar:
Zero-Shot Robot Manipulation from Passive Human Videos. CoRR abs/2302.02011 (2023) - [i138]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) - [i137]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) - [i136]Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani:
Visual Affordance Prediction for Guiding Robot Exploration. CoRR abs/2305.17783 (2023) - [i135]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) - [i134]Sam Powers, Abhinav Gupta, Chris Paxton:
Evaluating Continual Learning on a Home Robot. CoRR abs/2306.02413 (2023) - [i133]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) - [i132]Yufei Ye, Poorvi Hebbar, Abhinav Gupta, Shubham Tulsiani:
Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips. CoRR abs/2309.05663 (2023) - [i131]Sudeep Dasari, Mohan Kumar Srirama, Unnat Jain, Abhinav Gupta:
An Unbiased Look at Datasets for Visuo-Motor Pre-Training. CoRR abs/2310.09289 (2023) - [i130]Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani:
Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. CoRR abs/2312.00775 (2023) - 2022
- [c157]Sam Powers, Eliot Xing, Abhinav Gupta:
Self-Activating Neural Ensembles for Continual Reinforcement Learning. CoLLAs 2022: 683-704 - [c156]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 - [c155]Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta:
R3M: A Universal Visual Representation for Robot Manipulation. CoRL 2022: 892-909 - [c154]Kalyan Vasudev Alwala, Abhinav Gupta, Shubham Tulsiani:
Pretrain, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction. CVPR 2022: 3763-3772 - [c153]Yufei Ye, Abhinav Gupta, Shubham Tulsiani:
What's in your hands? 3D Reconstruction of Generic Objects in Hands. CVPR 2022: 3885-3895 - [c152]Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta:
The Challenges of Continuous Self-Supervised Learning. ECCV (26) 2022: 702-721 - [c151]Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta:
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. ICML 2022: 17359-17371 - [c150]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 - [c149]Himangi Mittal, Pedro Morgado, Unnat Jain, Abhinav Gupta:
Learning State-Aware Visual Representations from Audible Interactions. NeurIPS 2022 - [c148]Shikhar Bahl, Abhinav Gupta, Deepak Pathak:
Human-to-Robot Imitation in the Wild. Robotics: Science and Systems 2022 - [i129]Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta:
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. CoRR abs/2203.03580 (2022) - [i128]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) - [i127]Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta:
R3M: A Universal Visual Representation for Robot Manipulation. CoRR abs/2203.12601 (2022) - [i126]Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta:
The Challenges of Continuous Self-Supervised Learning. CoRR abs/2203.12710 (2022) - [i125]Kalyan Vasudev Alwala, Abhinav Gupta, Shubham Tulsiani:
Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction. CoRR abs/2204.03642 (2022) - [i124]Yufei Ye, Abhinav Gupta, Shubham Tulsiani:
What's in your hands? 3D Reconstruction of Generic Objects in Hands. CoRR abs/2204.07153 (2022) - [i123]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) - [i122]Shikhar Bahl, Abhinav Gupta, Deepak Pathak:
Human-to-Robot Imitation in the Wild. CoRR abs/2207.09450 (2022) - [i121]Sudeep Dasari, Abhinav Gupta, Vikash Kumar:
Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps. CoRR abs/2209.11221 (2022) - [i120]Himangi Mittal, Pedro Morgado, Unnat Jain, Abhinav Gupta:
Learning State-Aware Visual Representations from Audible Interactions. CoRR abs/2209.13583 (2022) - [i119]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) - [i118]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) - [i117]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) - [c147]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 - [c146]Raunaq M. Bhirangi, Tess Lee Hellebrekers, Carmel Majidi, Abhinav Gupta:
ReSkin: versatile, replaceable, lasting tactile skins. CoRL 2021: 587-597 - [c145]Victoria Dean, Yonadav G. Shavit, Abhinav Gupta:
Robots on Demand: A Democratized Robotics Research Cloud. CoRL 2021: 1769-1775 - [c144]Yufei Ye, Shubham Tulsiani, Abhinav Gupta:
Shelf-Supervised Mesh Prediction in the Wild. CVPR 2021: 8843-8852 - [c143]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 - [c142]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 - [c141]Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani:
Where2Act: From Pixels to Actions for Articulated 3D Objects. ICCV 2021: 6793-6803 - [c140]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 - [c139]Jianren Wang, Xin Wang, Yue Shang-Guan, Abhinav Gupta:
Wanderlust: Online Continual Object Detection in the Real World. ICCV 2021: 10809-10818 - [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 - [i116]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) - [i115]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) - [i114]Yufei Ye, Shubham Tulsiani, Abhinav Gupta:
Shelf-Supervised Mesh Prediction in the Wild. CoRR abs/2102.06195 (2021) - [i113]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) - [i112]Shubham Tulsiani, Abhinav Gupta:
PixelTransformer: Sample Conditioned Signal Generation. CoRR abs/2103.15813 (2021) - [i111]Shikhar Bahl, Abhinav Gupta, Deepak Pathak:
Hierarchical Neural Dynamic Policies. CoRR abs/2107.05627 (2021) - [i110]Jianren Wang, Xin Wang, Yue Shang-Guan, Abhinav Gupta:
Wanderlust: Online Continual Object Detection in the Real World. CoRR abs/2108.11005 (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]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 W. 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]Xiaolong Wang, Yufei Ye, Abhinav Gupta:
Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs. CVPR 2018: 6857-6866 - [c93]Xinlei Chen, Li-Jia Li, Li Fei-Fei, Abhinav Gupta:
Iterative Visual Reasoning Beyond Convolutions. CVPR 2018: 7239-7248 - [c92]Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari:
Actor and Observer: Joint Modeling of First and Third-Person Videos. CVPR 2018: 7396-7404 - [c91]Xiaolong Wang, Ross B. Girshick, Abhinav Gupta, Kaiming He:
Non-Local Neural Networks. CVPR 2018: 7794-7803 - [c90]Tian Ye, Xiaolong Wang, James Davidson, Abhinav Gupta:
Interpretable Intuitive Physics Model. ECCV (12) 2018: 89-105 - [c89]Keizo Kato, Yin Li, Abhinav Gupta:
Compositional Learning for Human Object Interaction. ECCV (14) 2018: 247-264 - [c88]Xiaolong Wang, Abhinav Gupta:
Videos as Space-Time Region Graphs. ECCV (5) 2018: 413-431 - [c87]Xinchen Yan, Jasmine Hsu, Mohammad Khansari, Yunfei Bai, Arkanath Pathak, Abhinav Gupta, James Davidson, Honglak Lee:
Learning 6-DOF Grasping Interaction via Deep Geometry-Aware 3D Representations. ICRA 2018: 1-9 - [c86]Adithyavairavan Murali, Lerrel Pinto, Dhiraj Gandhi, Abhinav Gupta:
CASSL: Curriculum Accelerated Self-Supervised Learning. ICRA 2018: 6453-6460 - [c85]Adithyavairavan Murali, Yin Li, Dhiraj Gandhi, Abhinav Gupta:
Learning to Grasp Without Seeing. ISER 2018: 375-386 - [c84]Abhinav Gupta, Adithyavairavan Murali, Dhiraj Gandhi, Lerrel Pinto:
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias. NeurIPS 2018: 9112-9122 - [c83]Yin Li, Abhinav Gupta:
Beyond Grids: Learning Graph Representations for Visual Recognition. NeurIPS 2018: 9245-9255 - [c82]Tao Chen, Adithyavairavan Murali, Abhinav Gupta:
Hardware Conditioned Policies for Multi-Robot Transfer Learning. NeurIPS 2018: 9355-9366 - [i65]Xiaolong Wang, Yufei Ye, Abhinav Gupta:
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs. CoRR abs/1803.08035 (2018) - [i64]Xinlei Chen, Li-Jia Li, Li Fei-Fei, Abhinav Gupta:
Iterative Visual Reasoning Beyond Convolutions. CoRR abs/1803.11189 (2018) - [i63]Xiaolong Wang, Rohit Girdhar, Abhinav Gupta:
Binge Watching: Scaling Affordance Learning from Sitcoms. CoRR abs/1804.03080 (2018) - [i62]Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari:
Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos. CoRR abs/1804.09626 (2018) - [i61]Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari:
Actor and Observer: Joint Modeling of First and Third-Person Videos. CoRR abs/1804.09627 (2018) - [i60]Adithyavairavan Murali, Yin Li, Dhiraj Gandhi, Abhinav Gupta:
Learning to Grasp Without Seeing. CoRR abs/1805.04201 (2018) - [i59]Xiaolong Wang, Abhinav Gupta:
Videos as Space-Time Region Graphs. CoRR abs/1806.01810 (2018) - [i58]Abhinav Gupta, Adithyavairavan Murali, Dhiraj Gandhi, Lerrel Pinto:
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias. CoRR abs/1807.07049 (2018) - [i57]Tian Ye, Xiaolong Wang, James Davidson, Abhinav Gupta:
Interpretable Intuitive Physics Model. CoRR abs/1808.10002 (2018) - [i56]Nadine Chang, John A. Pyles, Abhinav Gupta, Michael J. Tarr, Elissa M. Aminoff:
BOLD5000: A public fMRI dataset of 5000 images. CoRR abs/1809.01281 (2018) - [i55]Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta, Roozbeh Mottaghi:
Visual Semantic Navigation using Scene Priors. CoRR abs/1810.06543 (2018) - [i54]Pratyusha Sharma, Lekha Mohan, Lerrel Pinto, Abhinav Gupta:
Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation. CoRR abs/1810.07121 (2018) - [i53]Tao Chen, Adithyavairavan Murali, Abhinav Gupta:
Hardware Conditioned Policies for Multi-Robot Transfer Learning. CoRR abs/1811.09864 (2018) - 2017
- [c81]Kenneth Marino, Ruslan Salakhutdinov, Abhinav Gupta:
The More You Know: Using Knowledge Graphs for Image Classification. CVPR 2017: 20-28 - [c80]Ishan Misra, Abhinav Gupta, Martial Hebert:
From Red Wine to Red Tomato: Composition with Context. CVPR 2017: 1160-1169 - [c79]Xiaolong Wang, Abhinav Shrivastava, Abhinav Gupta:
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection. CVPR 2017: 3039-3048 - [c78]Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, Bryan C. Russell:
ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification. CVPR 2017: 3165-3174 - [c77]Xiaolong Wang, Rohit Girdhar, Abhinav Gupta:
Binge Watching: Scaling Affordance Learning from Sitcoms. CVPR 2017: 3366-3375 - [c76]Gunnar A. Sigurdsson, Santosh Kumar Divvala, Ali Farhadi, Abhinav Gupta:
Asynchronous Temporal Fields for Action Recognition. CVPR 2017: 5650-5659 - [c75]Siddha Ganju, Olga Russakovsky, Abhinav Gupta:
What's in a Question: Using Visual Questions as a Form of Supervision. CVPR 2017: 6422-6431 - [c74]Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, Serge J. Belongie:
Learning from Noisy Large-Scale Datasets with Minimal Supervision. CVPR 2017: 6575-6583 - [c73]Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi:
Visual Semantic Planning Using Deep Successor Representations. ICCV 2017: 483-492 - [c72]Chen Sun, Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta:
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. ICCV 2017: 843-852 - [c71]Xiaolong Wang, Kaiming He, Abhinav Gupta:
Transitive Invariance for Self-Supervised Visual Representation Learning. ICCV 2017: 1338-1347 - [c70]Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta:
Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection. ICCV 2017: 1819-1828 - [c69]Gunnar A. Sigurdsson, Olga Russakovsky, Abhinav Gupta:
What Actions are Needed for Understanding Human Actions in Videos? ICCV 2017: 2156-2165 - [c68]Jacob Walker, Kenneth Marino, Abhinav Gupta, Martial Hebert:
The Pose Knows: Video Forecasting by Generating Pose Futures. ICCV 2017: 3352-3361 - [c67]Xinlei Chen, Abhinav Gupta:
Spatial Memory for Context Reasoning in Object Detection. ICCV 2017: 4106-4116 - [c66]Lerrel Pinto, James Davidson, Rahul Sukthankar, Abhinav Gupta:
Robust Adversarial Reinforcement Learning. ICML 2017: 2817-2826 - [c65]Lerrel Pinto, James Davidson, Abhinav Gupta:
Supervision via competition: Robot adversaries for learning tasks. ICRA 2017: 1601-1608 - [c64]Lerrel Pinto, Abhinav Gupta:
Learning to push by grasping: Using multiple tasks for effective learning. ICRA 2017: 2161-2168 - [c63]Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi:
Target-driven visual navigation in indoor scenes using deep reinforcement learning. ICRA 2017: 3357-3364 - [c62]Dhiraj Gandhi, Lerrel Pinto, Abhinav Gupta:
Learning to fly by crashing. IROS 2017: 3948-3955 - [i52]Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, Serge J. Belongie:
Learning From Noisy Large-Scale Datasets With Minimal Supervision. CoRR abs/1701.01619 (2017) - [i51]Xinlei Chen, Abhinav Gupta:
An Implementation of Faster RCNN with Study for Region Sampling. CoRR abs/1702.02138 (2017) - [i50]Aayush Bansal, Xinlei Chen, Bryan C. Russell, Abhinav Gupta, Deva Ramanan:
PixelNet: Representation of the pixels, by the pixels, and for the pixels. CoRR abs/1702.06506 (2017) - [i49]Lerrel Pinto, James Davidson, Rahul Sukthankar, Abhinav Gupta:
Robust Adversarial Reinforcement Learning. CoRR abs/1703.02702 (2017) - [i48]Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, Bryan C. Russell:
ActionVLAD: Learning spatio-temporal aggregation for action classification. CoRR abs/1704.02895 (2017) - [i47]Xiaolong Wang, Abhinav Shrivastava, Abhinav Gupta:
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection. CoRR abs/1704.03414 (2017) - [i46]Siddha Ganju, Olga Russakovsky, Abhinav Gupta:
What's in a Question: Using Visual Questions as a Form of Supervision. CoRR abs/1704.03895 (2017) - [i45]Xinlei Chen, Abhinav Gupta:
Spatial Memory for Context Reasoning in Object Detection. CoRR abs/1704.04224 (2017) - [i44]Dhiraj Gandhi, Lerrel Pinto, Abhinav Gupta:
Learning to Fly by Crashing. CoRR abs/1704.05588 (2017) - [i43]Jacob Walker, Kenneth Marino, Abhinav Gupta, Martial Hebert:
The Pose Knows: Video Forecasting by Generating Pose Futures. CoRR abs/1705.00053 (2017) - [i42]Wen Li, Limin Wang, Wei Li, Eirikur Agustsson, Jesse Berent, Abhinav Gupta, Rahul Sukthankar, Luc Van Gool:
WebVision Challenge: Visual Learning and Understanding With Web Data. CoRR abs/1705.05640 (2017) - [i41]Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi:
Visual Semantic Planning using Deep Successor Representations. CoRR abs/1705.08080 (2017) - [i40]Chen Sun, Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta:
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. CoRR abs/1707.02968 (2017) - [i39]Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta:
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection. CoRR abs/1708.00666 (2017) - [i38]Adithyavairavan Murali, Lerrel Pinto, Dhiraj Gandhi, Abhinav Gupta:
CASSL: Curriculum Accelerated Self-Supervised Learning. CoRR abs/1708.01354 (2017) - [i37]Gunnar A. Sigurdsson, Olga Russakovsky, Abhinav Gupta:
What Actions are Needed for Understanding Human Actions in Videos? CoRR abs/1708.02696 (2017) - [i36]Xiaolong Wang, Kaiming He, Abhinav Gupta:
Transitive Invariance for Self-supervised Visual Representation Learning. CoRR abs/1708.02901 (2017) - [i35]Xinchen Yan, Mohi Khansari, Yunfei Bai, Jasmine Hsu, Arkanath Pathak, Abhinav Gupta, James Davidson, Honglak Lee:
Learning Grasping Interaction with Geometry-aware 3D Representations. CoRR abs/1708.07303 (2017) - [i34]Xiaolong Wang, Ross B. Girshick, Abhinav Gupta, Kaiming He:
Non-local Neural Networks. CoRR abs/1711.07971 (2017) - [i33]Ishan Misra, Ross B. Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten:
Learning by Asking Questions. CoRR abs/1712.01238 (2017) - [i32]Eric Kolve, Roozbeh Mottaghi, Daniel Gordon, Yuke Zhu, Abhinav Gupta, Ali Farhadi:
AI2-THOR: An Interactive 3D Environment for Visual AI. CoRR abs/1712.05474 (2017) - 2016
- [c61]Abhinav Shrivastava, Abhinav Gupta, Ross B. Girshick:
Training Region-Based Object Detectors with Online Hard Example Mining. CVPR 2016: 761-769 - [c60]David F. Fouhey, Abhinav Gupta, Andrew Zisserman:
3D Shape Attributes. CVPR 2016: 1516-1524 - [c59]Xiaolong Wang, Ali Farhadi, Abhinav Gupta:
Actions ~ Transformations. CVPR 2016: 2658-2667 - [c58]Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, Martial Hebert:
Cross-Stitch Networks for Multi-task Learning. CVPR 2016: 3994-4003 - [c57]Aayush Bansal, Bryan C. Russell, Abhinav Gupta:
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction. CVPR 2016: 5965-5974 - [c56]Lerrel Pinto, Dhiraj Gandhi, Yuanfeng Han, Yong-Lae Park, Abhinav Gupta:
The Curious Robot: Learning Visual Representations via Physical Interactions. ECCV (2) 2016: 3-18 - [c55]Gunnar A. Sigurdsson, Xinlei Chen, Abhinav Gupta:
Learning Visual Storylines with Skipping Recurrent Neural Networks. ECCV (5) 2016: 71-88 - [c54]Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, Ali Farhadi:
"What Happens If..." Learning to Predict the Effect of Forces in Images. ECCV (4) 2016: 269-285 - [c53]Xiaolong Wang, Abhinav Gupta:
Generative Image Modeling Using Style and Structure Adversarial Networks. ECCV (4) 2016: 318-335 - [c52]Abhinav Shrivastava, Abhinav Gupta:
Contextual Priming and Feedback for Faster R-CNN. ECCV (1) 2016: 330-348 - [c51]Rohit Girdhar, David F. Fouhey, Mikel Rodriguez, Abhinav Gupta:
Learning a Predictable and Generative Vector Representation for Objects. ECCV (6) 2016: 484-499 - [c50]Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, Abhinav Gupta:
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding. ECCV (1) 2016: 510-526 - [c49]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi:
The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) 2016: 777-823 - [c48]Jacob Walker, Carl Doersch, Abhinav Gupta, Martial Hebert:
An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders. ECCV (7) 2016: 835-851 - [c47]Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi, Ivan Laptev, Abhinav Gupta:
Much Ado About Time: Exhaustive Annotation of Temporal Data. HCOMP 2016: 219-228 - [c46]Lerrel Pinto, Abhinav Gupta:
Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours. ICRA 2016: 3406-3413 - [c45]Rohit Girdhar, David F. Fouhey, Kris M. Kitani, Abhinav Gupta, Martial Hebert:
Cutting through the clutter: Task-relevant features for image matching. WACV 2016: 1-9 - [i31]Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, Ali Farhadi:
"What happens if..." Learning to Predict the Effect of Forces in Images. CoRR abs/1603.05600 (2016) - [i30]Xiaolong Wang, Abhinav Gupta:
Generative Image Modeling using Style and Structure Adversarial Networks. CoRR abs/1603.05631 (2016) - [i29]Rohit Girdhar, David F. Fouhey, Mikel Rodriguez, Abhinav Gupta:
Learning a Predictable and Generative Vector Representation for Objects. CoRR abs/1603.08637 (2016) - [i28]Aayush Bansal, Bryan C. Russell, Abhinav Gupta:
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction. CoRR abs/1604.01347 (2016) - [i27]Lerrel Pinto, Dhiraj Gandhi, Yuanfeng Han, Yong-Lae Park, Abhinav Gupta:
The Curious Robot: Learning Visual Representations via Physical Interactions. CoRR abs/1604.01360 (2016) - [i26]Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, Abhinav Gupta:
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding. CoRR abs/1604.01753 (2016) - [i25]Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, Martial Hebert:
Cross-stitch Networks for Multi-task Learning. CoRR abs/1604.03539 (2016) - [i24]Abhinav Shrivastava, Abhinav Gupta, Ross B. Girshick:
Training Region-based Object Detectors with Online Hard Example Mining. CoRR abs/1604.03540 (2016) - [i23]Gunnar A. Sigurdsson, Xinlei Chen, Abhinav Gupta:
Learning Visual Storylines with Skipping Recurrent Neural Networks. CoRR abs/1604.04279 (2016) - [i22]Jacob Walker, Carl Doersch, Abhinav Gupta, Martial Hebert:
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders. CoRR abs/1606.07873 (2016) - [i21]Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi, Ivan Laptev, Abhinav Gupta:
Much Ado About Time: Exhaustive Annotation of Temporal Data. CoRR abs/1607.07429 (2016) - [i20]Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi:
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning. CoRR abs/1609.05143 (2016) - [i19]Senthil Purushwalkam, Abhinav Gupta:
Pose from Action: Unsupervised Learning of Pose Features based on Motion. CoRR abs/1609.05420 (2016) - [i18]Aayush Bansal, Xinlei Chen, Bryan C. Russell, Abhinav Gupta, Deva Ramanan:
PixelNet: Towards a General Pixel-level Architecture. CoRR abs/1609.06694 (2016) - [i17]Lerrel Pinto, Abhinav Gupta:
Learning to Push by Grasping: Using multiple tasks for effective learning. CoRR abs/1609.09025 (2016) - [i16]Lerrel Pinto, James Davidson, Abhinav Gupta:
Supervision via Competition: Robot Adversaries for Learning Tasks. CoRR abs/1610.01685 (2016) - [i15]Kenneth Marino, Ruslan Salakhutdinov, Abhinav Gupta:
The More You Know: Using Knowledge Graphs for Image Classification. CoRR abs/1612.04844 (2016) - [i14]Gunnar A. Sigurdsson, Santosh Kumar Divvala, Ali Farhadi, Abhinav Gupta:
Asynchronous Temporal Fields for Action Recognition. CoRR abs/1612.06371 (2016) - [i13]David F. Fouhey, Abhinav Gupta, Andrew Zisserman:
Understanding Higher-Order Shape via 3D Shape Attributes. CoRR abs/1612.06836 (2016) - [i12]Abhinav Shrivastava, Rahul Sukthankar, Jitendra Malik, Abhinav Gupta:
Beyond Skip Connections: Top-Down Modulation for Object Detection. CoRR abs/1612.06851 (2016) - 2015
- [j9]Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros:
What makes Paris look like Paris? Commun. ACM 58(12): 103-110 (2015) - [j8]Elissa Michele Aminoff, Mariya Toneva, Abhinav Shrivastava, Xinlei Chen, Ishan Misra, Abhinav Gupta, Michael J. Tarr:
Applying artificial vision models to human scene understanding. Frontiers Comput. Neurosci. 9: 8 (2015) - [c44]Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha Pratim Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew 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. AAAI 2015: 2302-2310 - [c43]Xiaolong Wang, David F. Fouhey, Abhinav Gupta:
Designing deep networks for surface normal estimation. CVPR 2015: 539-547 - [c42]Xinlei Chen, Alan Ritter, Abhinav Gupta, Tom M. Mitchell:
Sense discovery via co-clustering on images and text. CVPR 2015: 5298-5306 - [c41]David F. Fouhey, Wajahat Hussain, Abhinav Gupta, Martial Hebert:
Single Image 3D without a Single 3D Image. ICCV 2015: 1053-1061 - [c40]Carl Doersch, Abhinav Gupta, Alexei A. Efros:
Unsupervised Visual Representation Learning by Context Prediction. ICCV 2015: 1422-1430 - [c39]Xinlei Chen, Abhinav Gupta:
Webly Supervised Learning of Convolutional Networks. ICCV 2015: 1431-1439 - [c38]Jacob Walker, Abhinav Gupta, Martial Hebert:
Dense Optical Flow Prediction from a Static Image. ICCV 2015: 2443-2451 - [c37]Xiaolong Wang, Abhinav Gupta:
Unsupervised Learning of Visual Representations Using Videos. ICCV 2015: 2794-2802 - [i11]Naiyan Wang, Siyi Li, Abhinav Gupta, Dit-Yan Yeung:
Transferring Rich Feature Hierarchies for Robust Visual Tracking. CoRR abs/1501.04587 (2015) - [i10]Aayush Bansal, Abhinav Shrivastava, Carl Doersch, Abhinav Gupta:
Mid-level Elements for Object Detection. CoRR abs/1504.07284 (2015) - [i9]Jacob Walker, Abhinav Gupta, Martial Hebert:
Dense Optical Flow Prediction from a Static Image. CoRR abs/1505.00295 (2015) - [i8]Xiaolong Wang, Abhinav Gupta:
Unsupervised Learning of Visual Representations using Videos. CoRR abs/1505.00687 (2015) - [i7]David F. Fouhey, Xiaolong Wang, Abhinav Gupta:
In Defense of the Direct Perception of Affordances. CoRR abs/1505.01085 (2015) - [i6]Xinlei Chen, Abhinav Gupta:
Webly Supervised Learning of Convolutional Networks. CoRR abs/1505.01554 (2015) - [i5]Carl Doersch, Abhinav Gupta, Alexei A. Efros:
Unsupervised Visual Representation Learning by Context Prediction. CoRR abs/1505.05192 (2015) - [i4]Lerrel Pinto, Abhinav Gupta:
Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours. CoRR abs/1509.06825 (2015) - [i3]Xiaolong Wang, Ali Farhadi, Abhinav Gupta:
Actions ~ Transformations. CoRR abs/1512.00795 (2015) - 2014
- [j7]David F. Fouhey, Vincent Delaitre, Abhinav Gupta, Alexei A. Efros, Ivan Laptev, Josef Sivic:
People Watching: Human Actions as a Cue for Single View Geometry. Int. J. Comput. Vis. 110(3): 259-274 (2014) - [c36]Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta:
Enriching Visual Knowledge Bases via Object Discovery and Segmentation. CVPR 2014: 2035-2042 - [c35]Jacob Walker, Abhinav Gupta, Martial Hebert:
Patch to the Future: Unsupervised Visual Prediction. CVPR 2014: 3302-3309 - [c34]Carl Doersch, Abhinav Gupta, Alexei A. Efros:
Context as Supervisory Signal: Discovering Objects with Predictable Context. ECCV (3) 2014: 362-377 - [c33]David Ford Fouhey, Abhinav Gupta, Martial Hebert:
Unfolding an Indoor Origami World. ECCV (6) 2014: 687-702 - [c32]Florian Luisier, Manasvi Tickoo, Walter Andrews, Guangnan Ye, Dong Liu, Shih-Fu Chang, Ruslan Salakhutdinov, Vlad I. Morariu, Larry Davis, Abhinav Gupta, Ismail Haritaoglu, Sadiye Guler, Ashutosh Morde:
BBN VISER TRECVID 2014 Multimedia Event Detection and Multimedia Event Recounting Systems. TRECVID 2014 - [i2]Xiaolong Wang, David F. Fouhey, Abhinav Gupta:
Designing Deep Networks for Surface Normal Estimation. CoRR abs/1411.4958 (2014) - 2013
- [c31]Arpit Jain, Abhinav Gupta, Mikel Rodriguez, Larry S. Davis:
Representing Videos Using Mid-level Discriminative Patches. CVPR 2013: 2571-2578 - [c30]Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta:
NEIL: Extracting Visual Knowledge from Web Data. ICCV 2013: 1409-1416 - [c29]Abhinav Shrivastava, Abhinav Gupta:
Building Part-Based Object Detectors via 3D Geometry. ICCV 2013: 1745-1752 - [c28]David F. Fouhey, Abhinav Gupta, Martial Hebert:
Data-Driven 3D Primitives for Single Image Understanding. ICCV 2013: 3392-3399 - [c27]Carl Doersch, Abhinav Gupta, Alexei A. Efros:
Mid-level Visual Element Discovery as Discriminative Mode Seeking. NIPS 2013: 494-502 - [c26]Pradeep Natarajan, Shuang Wu, Florian Luisier, Xiaodan Zhuang, Manasvi Tickoo, Guangnan Ye, Dong Liu, Shih-Fu Chang, Imran Saleemi, Mubarak Shah, Vlad I. Morariu, Larry Davis, Abhinav Gupta, Ismail Haritaoglu, Sadiye Guler, Ashutosh Morde:
BBN VISER TRECVID 2013 Multimedia Event Detection and Multimedia Event Recounting Systems. TRECVID 2013 - 2012
- [j6]Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros:
What makes Paris look like Paris? ACM Trans. Graph. 31(4): 101:1-101:9 (2012) - [c25]Saurabh Singh, Abhinav Gupta, Alexei A. Efros:
Unsupervised Discovery of Mid-Level Discriminative Patches. ECCV (2) 2012: 73-86 - [c24]Vincent Delaitre, David F. Fouhey, Ivan Laptev, Josef Sivic, Abhinav Gupta, Alexei A. Efros:
Scene Semantics from Long-Term Observation of People. ECCV (6) 2012: 284-298 - [c23]Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta:
Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes. ECCV (3) 2012: 369-383 - [c22]David F. Fouhey, Vincent Delaitre, Abhinav Gupta, Alexei A. Efros, Ivan Laptev, Josef Sivic:
People Watching: Human Actions as a Cue for Single View Geometry. ECCV (5) 2012: 732-745 - [c21]Tomasz Malisiewicz, Abhinav Shrivastava, Abhinav Gupta, Alexei A. Efros:
Exemplar-SVMs for Visual Ob ject Detection, Label Transfer and Image Retrieval. ICML 2012 - [c20]Pradeep Natarajan, Prem Natarajan, Shuang Wu, Xiaodan Zhuang, Amelio Vázquez Reina, Shiv Vitaladevuni, Kleovoulos Tsourides, Carl Andersen, Rohit Prasad, Guangnan Ye, Dong Liu, Shih-Fu Chang, Imran Saleemi, Mubarak Shah, Yue Ng, Brandyn White, Larry Davis, Abhinav Gupta, Ismail Haritaoglu:
BBNVISER : BBN VISER TRECVID 2012 Multimedia Event Detection and Multimedia Event Recounting Systems. TRECVID 2012 - [i1]Saurabh Singh, Abhinav Gupta, Alexei A. Efros:
Unsupervised Discovery of Mid-Level Discriminative Patches. CoRR abs/1205.3137 (2012) - 2011
- [j5]Matthew Spencer, Fred Chen, Cheng C. Wang, Rhesa Nathanael, Hossein Fariborzi, Abhinav Gupta, Hei Kam, Vincent Pott, Jaeseok Jeon, Tsu-Jae King Liu, Dejan Markovic, Elad Alon, Vladimir Stojanovic:
Demonstration of Integrated Micro-Electro-Mechanical Relay Circuits for VLSI Applications. IEEE J. Solid State Circuits 46(1): 308-320 (2011) - [j4]Abhinav Shrivastava, Tomasz Malisiewicz, Abhinav Gupta, Alexei A. Efros:
Data-driven visual similarity for cross-domain image matching. ACM Trans. Graph. 30(6): 154 (2011) - [c19]Abhinav Gupta, Scott Satkin, Alexei A. Efros, Martial Hebert:
From 3D scene geometry to human workspace. CVPR 2011: 1961-1968 - [c18]Xi Chen, Arpit Jain, Abhinav Gupta, Larry S. Davis:
Piecing together the segmentation jigsaw using context. CVPR 2011: 2001-2008 - [c17]Tomasz Malisiewicz, Abhinav Gupta, Alexei A. Efros:
Ensemble of exemplar-SVMs for object detection and beyond. ICCV 2011: 89-96 - 2010
- [c16]Behjat Siddiquie, Abhinav Gupta:
Beyond active noun tagging: Modeling contextual interactions for multi-class active learning. CVPR 2010: 2979-2986 - [c15]Arpit Jain, Abhinav Gupta, Larry S. Davis:
Learning What and How of Contextual Models for Scene Labeling. ECCV (4) 2010: 199-212 - [c14]Abhinav Gupta, Alexei A. Efros, Martial Hebert:
Blocks World Revisited: Image Understanding Using Qualitative Geometry and Mechanics. ECCV (4) 2010: 482-496 - [c13]Fred Chen, Matthew Spencer, Rhesa Nathanael, Chengcheng Wang, Hossein Fariborzi, Abhinav Gupta, Hei Kam, Vincent Pott, Jaeseok Jeon, Tsu-Jae King Liu, Dejan Markovic, Vladimir Stojanovic, Elad Alon:
Demonstration of integrated micro-electro-mechanical switch circuits for VLSI applications. ISSCC 2010: 150-151 - [c12]David C. Lee, Abhinav Gupta, Martial Hebert, Takeo Kanade:
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces. NIPS 2010: 1288-1296
2000 – 2009
- 2009
- [b1]Abhinav Gupta:
Beyond Nouns and Verbs. University of Maryland, College Park, MD, USA, 2009 - [j3]Cristian Marcu, Debopriyo Chowdhury, Chintan Thakkar, Jung-Dong Park, Lingkai Kong, Maryam Tabesh, Yanjie Wang, Bagher Afshar, Abhinav Gupta, Amin Arbabian, Simone Gambini, Reza Zamani, Elad Alon, Ali M. Niknejad:
A 90 nm CMOS Low-Power 60 GHz Transceiver With Integrated Baseband Circuitry. IEEE J. Solid State Circuits 44(12): 3434-3447 (2009) - [j2]Abhinav Gupta, Aniruddha Kembhavi, Larry S. Davis:
Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 31(10): 1775-1789 (2009) - [c11]Abhinav Gupta, Praveen Srinivasan, Jianbo Shi, Larry S. Davis:
Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos. CVPR 2009: 2012-2019 - [c10]Cristian Marcu, Debopriyo Chowdhury, Chintan Thakkar, Lingkai Kong, Maryam Tabesh, Jung-Dong Park, Yanjie Wang, Bagher Afshar, Abhinav Gupta, Amin Arbabian, Simone Gambini, Reza Zamani, Ali M. Niknejad, Elad Alon:
A 90nm CMOS low-power 60GHz transceiver with integrated baseband circuitry. ISSCC 2009: 314-315 - 2008
- [j1]Abhinav Gupta, Anurag Mittal, Larry S. Davis:
Constraint Integration for Efficient Multiview Pose Estimation with Self-Occlusions. IEEE Trans. Pattern Anal. Mach. Intell. 30(3): 493-506 (2008) - [c9]Abhinav Gupta, Trista P. Chen, Francine Chen, Don Kimber, Larry S. Davis:
Context and observation driven latent variable model for human pose estimation. CVPR 2008 - [c8]Abhinav Gupta, Larry S. Davis:
Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers. ECCV (1) 2008: 16-29 - [c7]Abhinav Gupta, Jianbo Shi, Larry S. Davis:
A "Shape Aware" Model for semi-supervised Learning of Objects and its Context. NIPS 2008: 577-584 - 2007
- [c6]Abhinav Gupta, Larry S. Davis:
Objects in Action: An Approach for Combining Action Understanding and Object Perception. CVPR 2007 - [c5]Abhinav Gupta, Anurag Mittal, Larry S. Davis:
COST: An Approach for Camera Selection and Multi-Object Inference Ordering in Dynamic Scenes. ICCV 2007: 1-8 - 2006
- [c4]Abhinav Gupta, Anurag Mittal, Larry S. Davis:
Constraint Integration for Multiview Pose Estimation of Humans with Self-Occlusions. 3DPVT 2006: 900-907 - 2005
- [c3]Abhinav Gupta, V. Shiv Naga Prasad, Larry S. Davis:
Extracting regions of symmetry. ICIP (3) 2005: 133-136 - 2004
- [c2]Abhinav Gupta, Phalguni Gupta:
Watermarking of MPEG-4 Videos. ICBA 2004: 746-752 - [c1]Ashutosh Saxena, Abhinav Gupta, Amitabha Mukerjee:
Non-linear Dimensionality Reduction by Locally Linear Isomaps. ICONIP 2004: 1038-1043
Coauthor Index
Larry Davis 0001
aka: Larry S. Davis
aka: Larry S. Davis
David F. Fouhey
aka: David Ford Fouhey
aka: David Ford Fouhey
[c177] [c175] [c172] [c171] [i148] [i147] [i142] [c165] [c164] [c163] [c162] [i139] [i138] [i137] [i136] [i133] [i132] [i130] [c154] [c153] [i125] [i124] [c147] [c144] [c141] [c136] [c132] [i116] [i114] [i112] [i108] [i105] [c129] [c127] [c126] [c120] [c118] [c115] [c112] [i103] [i100] [i99] [i91] [i89] [i87] [c109] [c108] [c107] [c104] [i76] [i73] [i71] [i69] [i68]
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