Gupta, Abhinav

148 publications

CoRL 2025 Gen2Act: Human Video Generation in Novel Scenarios Enables Generalizable Robot Manipulation Homanga Bharadhwaj, Debidatta Dwibedi, Abhinav Gupta, Shubham Tulsiani, Carl Doersch, Ted Xiao, Dhruv Shah, Fei Xia, Dorsa Sadigh, Sean Kirmani

TMLR 2025 HandsOnVLM: Vision-Language Models for Hand-Object Interaction Prediction Chen Bao, Jiarui Xu, Xiaolong Wang, Abhinav Gupta, Homanga Bharadhwaj

CVPR 2024 G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis Yufei Ye, Abhinav Gupta, Kris Kitani, Shubham Tulsiani

ICML 2024 Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling Raunaq Bhirangi, Chenyu Wang, Venkatesh Pattabiraman, Carmel Majidi, Abhinav Gupta, Tess Hellebrekers, Lerrel Pinto

ICMLW 2024 Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling Raunaq Bhirangi, Chenyu Wang, Venkatesh Pattabiraman, Carmel Majidi, Abhinav Gupta, Tess Hellebrekers, Lerrel Pinto

CoRL 2024 Legolas: Deep Leg-Inertial Odometry Justin Wasserman, Ananye Agarwal, Rishabh Jangir, Girish Chowdhary, Deepak Pathak, Abhinav Gupta

ECCV 2024 Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning Yibing Wei, Abhinav Gupta, Pedro Morgado

ECCV 2024 Track2Act: Predicting Point Tracks from Internet Videos Enables Generalizable Robot Manipulation Homanga Bharadhwaj, Roozbeh Mottaghi, Abhinav Gupta, Shubham Tulsiani

CVPR 2023 Affordance Diffusion: Synthesizing Hand-Object Interactions Yufei Ye, Xueting Li, Abhinav Gupta, Shalini De Mello, Stan Birchfield, Jiaming Song, Shubham Tulsiani, Sifei Liu

CoRL 2023 An Unbiased Look at Datasets for Visuo-Motor Pre-Training Sudeep Dasari, Mohan Kumar Srirama, Unnat Jain, Abhinav Gupta

ICCV 2023 Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips Yufei Ye, Poorvi Hebbar, Abhinav Gupta, Shubham Tulsiani

CoLLAs 2023 Evaluating Continual Learning on a Home Robot Sam Powers, Abhinav Gupta, Chris Paxton

ICCV 2023 Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations Jianren Wang, Sudeep Dasari, Mohan Kumar Srirama, Shubham Tulsiani, Abhinav Gupta

CoLLAs 2022 CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents Sam Powers, Eliot Xing, Eric Kolve, Roozbeh Mottaghi, Abhinav Gupta

L4DC 2022 Can Foundation Models Perform Zero-Shot Task Specification for Robot Manipulation? Yuchen Cui, Scott Niekum, Abhinav Gupta, Vikash Kumar, Aravind Rajeswaran

CoRL 2022 Last-Mile Embodied Visual Navigation Justin Wasserman, Karmesh Yadav, Girish Chowdhary, Abhinav Gupta, Unnat Jain

NeurIPSW 2022 Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps Sudeep Dasari, Abhinav Gupta, Vikash Kumar

CoRL 2022 Learning Multi-Objective Curricula for Robotic Policy Learning Jikun Kang, Miao Liu, Abhinav Gupta, Christopher Pal, Xue Liu, Jie Fu

NeurIPS 2022 Learning State-Aware Visual Representations from Audible Interactions Himangi Mittal, Pedro Morgado, Unnat Jain, Abhinav Gupta

CVPR 2022 Pre-Train, Self-Train, Distill: A Simple Recipe for Supersizing 3D Reconstruction Kalyan Vasudev Alwala, Abhinav Gupta, Shubham Tulsiani

CoRL 2022 R3M: A Universal Visual Representation for Robot Manipulation Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta

NeurIPSW 2022 Real World Offline Reinforcement Learning with Realistic Data Source Gaoyue Zhou, Liyiming Ke, Siddhartha Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar

CoLLAs 2022 Self-Activating Neural Ensembles for Continual Reinforcement Learning Sam Powers, Eliot Xing, Abhinav Gupta

ECCV 2022 The Challenges of Continuous Self-Supervised Learning Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta

ICML 2022 The Unsurprising Effectiveness of Pre-Trained Vision Models for Control Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta

NeurIPSW 2022 Train Offline, Test Online: A Real Robot Learning Benchmark Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Beltran Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn, Abhinav Gupta

CVPR 2022 What's in Your Hands? 3D Reconstruction of Generic Objects in Hands Yufei Ye, Abhinav Gupta, Shubham Tulsiani

CoRL 2021 A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation Bernardo Aceituno, Alberto Rodriguez, Shubham Tulsiani, Abhinav Gupta, Mustafa Mukadam

ICLR 2021 Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning Valerie Chen, Abhinav Gupta, Kenneth Marino

ICCV 2021 Audio-Visual Floorplan Reconstruction Senthil Purushwalkam, Sebastià Vicenc Amengual Garí, Vamsi Krishna Ithapu, Carl Schissler, Philip Robinson, Abhinav Gupta, Kristen Grauman

NeurIPS 2021 Dynamic Population-Based Meta-Learning for Multi-Agent Communication with Natural Language Abhinav Gupta, Marc Lanctot, Angeliki Lazaridou

NeurIPS 2021 Interesting Object, Curious Agent: Learning Task-Agnostic Exploration Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta

CVPR 2021 KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA Kenneth Marino, Xinlei Chen, Devi Parikh, Abhinav Gupta, Marcus Rohrbach

NeurIPSW 2021 KitchenShift: Evaluating Zero-Shot Generalization of Imitation-Based Policy Learning Under Domain Shifts Eliot Xing, Abhinav Gupta, Sam Powers, Victoria Dean

ICCV 2021 Learn-to-Race: A Multimodal Control Environment for Autonomous Racing James Herman, Jonathan Francis, Siddha Ganju, Bingqing Chen, Anirudh Koul, Abhinav Gupta, Alexey Skabelkin, Ivan Zhukov, Max Kumskoy, Eric Nyberg

ICLRW 2021 Meta Learning for Multi-Agent Communication Abhinav Gupta, Angeliki Lazaridou, Marc Lanctot

NeurIPS 2021 No RL, No Simulation: Learning to Navigate Without Navigating Meera Hahn, Devendra Singh Chaplot, Shubham Tulsiani, Mustafa Mukadam, James M. Rehg, Abhinav Gupta

ICML 2021 PixelTransformer: Sample Conditioned Signal Generation Shubham Tulsiani, Abhinav Gupta

CoRL 2021 ReSkin: Versatile, Replaceable, Lasting Tactile Skins Raunaq Bhirangi, Tess Hellebrekers, Carmel Majidi, Abhinav Gupta

CoRL 2021 Robots on Demand: A Democratized Robotics Research Cloud Victoria Dean, Yonadav G Shavit, Abhinav Gupta

CVPR 2021 Shelf-Supervised Mesh Prediction in the Wild Yufei Ye, Shubham Tulsiani, Abhinav Gupta

WACV 2021 Supervoxel Attention Graphs for Long-Range Video Modeling Yang Wang, Gedas Bertasius, Tae-Hyun Oh, Abhinav Gupta, Minh Hoai, Lorenzo Torresani

ICCV 2021 The Functional Correspondence Problem Zihang Lai, Senthil Purushwalkam, Abhinav Gupta

ICCV 2021 Wanderlust: Online Continual Object Detection in the Real World Jianren Wang, Xin Wang, Yue Shang-Guan, Abhinav Gupta

ICCV 2021 Where2Act: From Pixels to Actions for Articulated 3D Objects Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani

ECCV 2020 Aligning Videos in Space and Time Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta

CoRL 2020 DeepMPCVS: Deep Model Predictive Control for Visual Servoing Pushkal Katara, Harish Yvs, Harit Pandya, Abhinav Gupta, AadilMehdi Sanchawala, Gourav Kumar, Brojeshwar Bhowmick, Madhava Krishna

NeurIPS 2020 Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases Senthil Purushwalkam, Abhinav Gupta

ICLR 2020 Discovering Motor Programs by Recomposing Demonstrations Tanmay Shankar, Shubham Tulsiani, Lerrel Pinto, Abhinav Gupta

ICLR 2020 Dynamics-Aware Embeddings William Whitney, Rajat Agarwal, Kyunghyun Cho, Abhinav Gupta

ICLR 2020 Intrinsic Motivation for Encouraging Synergistic Behavior Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta

ICML 2020 Learning Robot Skills with Temporal Variational Inference Tanmay Shankar, Abhinav Gupta

ICLR 2020 Learning to Explore Using Active Neural SLAM Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, Ruslan Salakhutdinov

NeurIPS 2020 Neural Dynamic Policies for End-to-End Sensorimotor Learning Shikhar Bahl, Mustafa Mukadam, Abhinav Gupta, Deepak Pathak

NeurIPS 2020 Object Goal Navigation Using Goal-Oriented Semantic Exploration Devendra Singh Chaplot, Dhiraj Prakashchand Gandhi, Abhinav Gupta, Ruslan Salakhutdinov

ICLR 2020 On the Interaction Between Supervision and Self-Play in Emergent Communication Ryan Lowe, Abhinav Gupta, Jakob Foerster, Douwe Kiela, Joelle Pineau

CoRL 2020 Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping Adithyavairavan Murali, Weiyu Liu, Kenneth Marino, Sonia Chernova, Abhinav Gupta

NeurIPS 2020 See, Hear, Explore: Curiosity via Audio-Visual Association Victoria Dean, Shubham Tulsiani, Abhinav Gupta

ECCV 2020 Semantic Curiosity for Active Visual Learning Devendra Singh Chaplot, Helen Jiang, Saurabh Gupta, Abhinav Gupta

CoRL 2020 Transformers for One-Shot Visual Imitation Sudeep Dasari, Abhinav Gupta

CoRL 2020 Visual Imitation Made Easy Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, Lerrel Pinto

ICLR 2019 Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces Senthil Purushwalkam, Abhinav Gupta, Danny Kaufman, Bryan Russell

ICLR 2019 Environment Probing Interaction Policies Wenxuan Zhou, Lerrel Pinto, Abhinav Gupta

ICLR 2019 Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies Kenneth Marino, Abhinav Gupta, Rob Fergus, Arthur Szlam

ICLR 2019 Learning Exploration Policies for Navigation Tao Chen, Saurabh Gupta, Abhinav Gupta

ICMLW 2019 Learning to Learn to Communicate Ryan Lowe, Abhinav Gupta, Jakob Foerster, Douwe Kiela, Joelle Pineau

CoRL 2019 Object-Centric Forward Modeling for Model Predictive Control Yufei Ye, Dhiraj Gandhi, Abhinav Gupta, Shubham Tulsiani

ICML 2019 Self-Supervised Exploration via Disagreement Deepak Pathak, Dhiraj Gandhi, Abhinav Gupta

NeurIPS 2019 Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller Pratyusha Sharma, Deepak Pathak, Abhinav Gupta

ICLR 2019 Visual Semantic Navigation Using Scene Priors Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta, Roozbeh Mottaghi

NeurIPS 2018 Beyond Grids: Learning Graph Representations for Visual Recognition Yin Li, Abhinav Gupta

ECCV 2018 Compositional Learning for Human Object Interaction Keizo Kato, Yin Li, Abhinav Gupta

NeurIPS 2018 Hardware Conditioned Policies for Multi-Robot Transfer Learning Tao Chen, Adithyavairavan Murali, Abhinav Gupta

ECCV 2018 Interpretable Intuitive Physics Model Tian Ye, Xiaolong Wang, James Davidson, Abhinav Gupta

CoRL 2018 Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation Pratyusha Sharma, Lekha Mohan, Lerrel Pinto, Abhinav Gupta

NeurIPS 2018 Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias Abhinav Gupta, Adithyavairavan Murali, Dhiraj Prakashchand Gandhi, Lerrel Pinto

ECCV 2018 Videos as Space-Time Region Graphs Xiaolong Wang, Abhinav Gupta

CVPR 2017 A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection Xiaolong Wang, Abhinav Shrivastava, Abhinav Gupta

CVPR 2017 ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, Bryan Russell

CVPR 2017 Asynchronous Temporal Fields for Action Recognition Gunnar A. Sigurdsson, Santosh Divvala, Ali Farhadi, Abhinav Gupta

CVPR 2017 Binge Watching: Scaling Affordance Learning from Sitcoms Xiaolong Wang, Rohit Girdhar, Abhinav Gupta

CVPR 2017 From Red Wine to Red Tomato: Composition with Context Ishan Misra, Abhinav Gupta, Martial Hebert

CVPR 2017 Learning from Noisy Large-Scale Datasets with Minimal Supervision Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, Serge Belongie

ICCV 2017 Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun, Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta

ICML 2017 Robust Adversarial Reinforcement Learning Lerrel Pinto, James Davidson, Rahul Sukthankar, Abhinav Gupta

ICCV 2017 Spatial Memory for Context Reasoning in Object Detection Xinlei Chen, Abhinav Gupta

ICCV 2017 Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta

CVPR 2017 The More You Know: Using Knowledge Graphs for Image Classification Kenneth Marino, Ruslan Salakhutdinov, Abhinav Gupta

ICCV 2017 The Pose Knows: Video Forecasting by Generating Pose Futures Jacob Walker, Kenneth Marino, Abhinav Gupta, Martial Hebert

ICCV 2017 Transitive Invariance for Self-Supervised Visual Representation Learning Xiaolong Wang, Kaiming He, Abhinav Gupta

ICCV 2017 Visual Semantic Planning Using Deep Successor Representations Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi

ICCV 2017 What Actions Are Needed for Understanding Human Actions in Videos? Gunnar A. Sigurdsson, Olga Russakovsky, Abhinav Gupta

CVPR 2017 What's in a Question: Using Visual Questions as a Form of Supervision Siddha Ganju, Olga Russakovsky, Abhinav Gupta

ECCV 2016 "What Happens If..." Learning to Predict the Effect of Forces in Images Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, Ali Farhadi

CVPR 2016 3D Shape Attributes David F. Fouhey, Abhinav Gupta, Andrew Zisserman

CVPR 2016 Actions ~ Transformations Xiaolong Wang, Ali Farhadi, Abhinav Gupta

ECCV 2016 An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders Jacob Walker, Carl Doersch, Abhinav Gupta, Martial Hebert

ECCV 2016 Contextual Priming and Feedback for Faster R-CNN Abhinav Shrivastava, Abhinav Gupta

CVPR 2016 Cross-Stitch Networks for Multi-Task Learning Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, Martial Hebert

WACV 2016 Cutting Through the Clutter: Task-Relevant Features for Image Matching Rohit Girdhar, David F. Fouhey, Kris M. Kitani, Abhinav Gupta, Martial Hebert

ECCV 2016 Generative Image Modeling Using Style and Structure Adversarial Networks Xiaolong Wang, Abhinav Gupta

ECCV 2016 Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, Abhinav Gupta

ECCV 2016 Learning Visual Storylines with Skipping Recurrent Neural Networks Gunnar A. Sigurdsson, Xinlei Chen, Abhinav Gupta

ECCV 2016 Learning a Predictable and Generative Vector Representation for Objects Rohit Girdhar, David F. Fouhey, Mikel Rodriguez, Abhinav Gupta

CVPR 2016 Marr Revisited: 2D-3D Alignment via Surface Normal Prediction Aayush Bansal, Bryan Russell, Abhinav Gupta

ECCV 2016 The Curious Robot: Learning Visual Representations via Physical Interactions Lerrel Pinto, Dhiraj Gandhi, Yuanfeng Han, Yong-Lae Park, Abhinav Gupta

ECCV 2016 The Visual Object Tracking VOT2016 Challenge Results 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

ECCVW 2016 The Visual Object Tracking VOT2016 Challenge Results 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

CVPR 2016 Training Region-Based Object Detectors with Online Hard Example Mining Abhinav Shrivastava, Abhinav Gupta, Ross Girshick

ICCV 2015 Dense Optical Flow Prediction from a Static Image Jacob Walker, Abhinav Gupta, Martial Hebert

CVPR 2015 Designing Deep Networks for Surface Normal Estimation Xiaolong Wang, David Fouhey, Abhinav Gupta

AAAI 2015 Never-Ending Learning 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

CVPR 2015 Sense Discovery via Co-Clustering on Images and Text Xinlei Chen, Alan Ritter, Abhinav Gupta, Tom Mitchell

ICCV 2015 Single Image 3D Without a Single 3D Image David F. Fouhey, Wajahat Hussain, Abhinav Gupta, Martial Hebert

ICCV 2015 Unsupervised Learning of Visual Representations Using Videos Xiaolong Wang, Abhinav Gupta

ICCV 2015 Unsupervised Visual Representation Learning by Context Prediction Carl Doersch, Abhinav Gupta, Alexei A. Efros

ICCV 2015 Webly Supervised Learning of Convolutional Networks Xinlei Chen, Abhinav Gupta

ECCV 2014 Context as Supervisory Signal: Discovering Objects with Predictable Context Carl Doersch, Abhinav Gupta, Alexei A. Efros

CVPR 2014 Enriching Visual Knowledge Bases via Object Discovery and Segmentation Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta

CVPR 2014 Patch to the Future: Unsupervised Visual Prediction Jacob Walker, Abhinav Gupta, Martial Hebert

ECCV 2014 Unfolding an Indoor Origami World David Ford Fouhey, Abhinav Gupta, Martial Hebert

ICCV 2013 Building Part-Based Object Detectors via 3D Geometry Abhinav Shrivastava, Abhinav Gupta

ICCV 2013 Data-Driven 3D Primitives for Single Image Understanding David F. Fouhey, Abhinav Gupta, Martial Hebert

NeurIPS 2013 Mid-Level Visual Element Discovery as Discriminative Mode Seeking Carl Doersch, Abhinav Gupta, Alexei A Efros

ICCV 2013 NEIL: Extracting Visual Knowledge from Web Data Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta

CVPR 2013 Representing Videos Using Mid-Level Discriminative Patches Arpit Jain, Abhinav Gupta, Mikel Rodriguez, Larry S. Davis

ECCV 2012 Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta

ICML 2012 Exemplar-SVMs for Visual Ob Ject Detection, Label Transfer and Image Retrieval Tomasz Malisiewicz, Abhinav Shrivastava, Abhinav Gupta, Alexei A. Efros

ECCV 2012 People Watching: Human Actions as a Cue for Single View Geometry David F. Fouhey, Vincent Delaitre, Abhinav Gupta, Alexei A. Efros, Ivan Laptev, Josef Sivic

ECCV 2012 Scene Semantics from Long-Term Observation of People Vincent Delaitre, David F. Fouhey, Ivan Laptev, Josef Sivic, Abhinav Gupta, Alexei A. Efros

ECCV 2012 Unsupervised Discovery of Mid-Level Discriminative Patches Saurabh Singh, Abhinav Gupta, Alexei A. Efros

ICCV 2011 Ensemble of Exemplar-SVMs for Object Detection and Beyond Tomasz Malisiewicz, Abhinav Gupta, Alexei A. Efros

CVPR 2011 From 3D Scene Geometry to Human Workspace Abhinav Gupta, Scott Satkin, Alexei A. Efros, Martial Hebert

CVPR 2011 Piecing Together the Segmentation Jigsaw Using Context Xi Chen, Arpit Jain, Abhinav Gupta, Larry S. Davis

CVPR 2010 Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning Behjat Siddiquie, Abhinav Gupta

ECCV 2010 Blocks World Revisited: Image Understanding Using Qualitative Geometry and Mechanics Abhinav Gupta, Alexei A. Efros, Martial Hebert

NeurIPS 2010 Estimating Spatial Layout of Rooms Using Volumetric Reasoning About Objects and Surfaces Abhinav Gupta, Martial Hebert, Takeo Kanade, David M. Blei

ECCV 2010 Learning What and How of Contextual Models for Scene Labeling Arpit Jain, Abhinav Gupta, Larry S. Davis

CVPR 2009 Understanding Videos, Constructing Plots Learning a Visually Grounded Storyline Model from Annotated Videos Abhinav Gupta, Praveen Srinivasan, Jianbo Shi, Larry S. Davis

NeurIPS 2008 A ``Shape Aware'' Model for Semi-Supervised Learning of Objects and Its Context Abhinav Gupta, Jianbo Shi, Larry S. Davis

ECCV 2008 Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers Abhinav Gupta, Larry S. Davis

CVPR 2008 Context and Observation Driven Latent Variable Model for Human Pose Estimation Abhinav Gupta, Trista P. Chen, Francine Chen, Don Kimber, Larry S. Davis

ICCV 2007 COST: An Approach for Camera Selection and Multi-Object Inference Ordering in Dynamic Scenes Abhinav Gupta, Anurag Mittal, Larry S. Davis

CVPR 2007 Objects in Action: An Approach for Combining Action Understanding and Object Perception Abhinav Gupta, Larry S. Davis