Abhinav Gupta
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
173
Venues
29
Active years
2003–2026
Best venue rank
A*
Where they publish
- A*CVPR39 papers
- A*ICCV29 papers
- A*ECCV26 papers
- A*ICRA16 papers
- UnrankedCoRL14 papers
- A*ICLR12 papers
- A*ICML7 papers
- A*ACL4 papers
- NationalCOMAD2 papers
- AIROS2 papers
- AWACV2 papers
- A*VLDB2 papers
- A*SIGMOD2 papers
- BRECOMB1 paper
- BCLOUD1 paper
- BICCCN1 paper
- NationalVLSID1 paper
- NationalICIN1 paper
- CAPSEC1 paper
- BCogSci1 paper
- A*EMNLP1 paper
- MulticonferenceICASSP1 paper
- NationalCISS1 paper
- BHCOMP1 paper
- A*AAAI1 paper
- A*INFOCOM1 paper
- BICIP1 paper
- BICONIP1 paper
- BMASCOTS1 paper
Papers
173 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Words that make SENSE: Sensorimotor Norms in Learned Lexical Token Representations. | Abhinav Gupta, Toben H. Mintz, Jesse Thomason |
| 2026 | ACL | Hierarchical Reason-of-Contact Detection in Retail Banking Customer Interactions via LLM-Driven Taxonomy Induction. | Yoages Kumar Mantri, Yagneswaran Sriraja, John Hartley, Greig A. Cowan, Raad Khraishi, Abhinav Gupta |
| 2026 | ACL | Can Large Language Models Infer Human Actions and Motives? Evaluation in Social Prediction and Inspection Games. | Kaleen Shrestha, Abhinav Gupta, Harish Dukkipati, Zhonghao Shi, Maja J. Mataric |
| 2025 | ACL | AUTOSUMM: A Comprehensive Framework for LLM-Based Conversation Summarization. | Abhinav Gupta, Devendra Singh Chaplot, Greig A. Cowan, N. Kadhiresan, Siddharth Srivastava, Yagneswaran Sriraja, Yoages Kumar Mantri |
| 2025 | RECOMB | Active Learning for Protein Structure Prediction. | Zexin Xue, Michael Bailey, Abhinav Gupta, Ruijiang Li, Alejandro Corrochano-Navarro, Sizhen Li, Lorenzo Kogler-Anele, Qui Yu, Ziv Bar-Joseph, Sven Jager |
| 2024 | CLOUD | Rethinking the Networking Stack for Serverless Environments: A Sidecar Approach. | Vishwanath Seshagiri, Abhinav Gupta, Vahab Jabrayilov, Avani Wildani, Kostis Kaffes |
| 2024 | CoRL | Legolas: Deep Leg-Inertial Odometry. | Justin Wasserman, Ananye Agarwal, Rishabh Jangir, Girish Chowdhary, Deepak Pathak, Abhinav Gupta |
| 2024 | CVPR | G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis. | Yufei Ye, Abhinav Gupta, Kris Kitani, Shubham Tulsiani |
| 2024 | ECCV | Track2Act: Predicting Point Tracks from Internet Videos Enables Generalizable Robot Manipulation. | Homanga Bharadhwaj, Roozbeh Mottaghi, Abhinav Gupta, Shubham Tulsiani |
| 2024 | ECCV | Towards Latent Masked Image Modeling for Self-supervised Visual Representation Learning. | Yibing Wei, Abhinav Gupta, Pedro Morgado |
| 2024 | ICCCN | Improving Web Content Delivery with HTTP/3 and Non-Incremental EPS. | Abhinav Gupta, Radim Bartos |
| 2024 | ICML | Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling. | Raunaq M. Bhirangi, Chenyu Wang, Venkatesh Pattabiraman, Carmel Majidi, Abhinav Gupta, Tess Lee Hellebrekers, Lerrel Pinto |
| 2024 | ICRA | Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. | Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani |
| 2024 | ICRA | RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking. | Homanga Bharadhwaj, Jay Vakil, Mohit Sharma, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar |
| 2024 | ICRA | Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation. | Jared Mejia, Victoria Dean, Tess Lee Hellebrekers, Abhinav Gupta |
| 2024 | ICRA | Exploitation-Guided Exploration for Semantic Embodied Navigation. | Justin Wasserman, Girish Chowdhary, Abhinav Gupta, Unnat Jain |
| 2024 | VLSID | Improving Retention Time of 1T DRAM using Electrostatic Barrier: Proposal and Analysis. | Shivendra Singh, Ekta Tiwari, Abhinav Gupta, Sneh Saurabh |
| 2023 | COMAD | Agent-based Learning Approach to Electric Vehicle Routing Problem with Vehicle-to-Grid Supply and Battery Swapping. | Ajay Narayanan, Prasant Misra, Ankush Ojha, Abhinav Gupta, Supratim Ghosh, Arunchandar Vasan |
| 2023 | CoRL | An Unbiased Look at Datasets for Visuo-Motor Pre-Training. | Sudeep Dasari, Mohan Kumar Srirama, Unnat Jain, Abhinav Gupta |
| 2023 | CVPR | Affordance Diffusion: Synthesizing Hand-Object Interactions. | Yufei Ye, Xueting Li, Abhinav Gupta, Shalini De Mello, Stan Birchfield, Jiaming Song, Shubham Tulsiani, Sifei Liu |
| 2023 | ICCV | Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations. | Jianren Wang, Sudeep Dasari, Mohan Kumar Srirama, Shubham Tulsiani, Abhinav Gupta |
| 2023 | ICCV | Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips. | Yufei Ye, Poorvi Hebbar, Abhinav Gupta, Shubham Tulsiani |
| 2023 | ICRA | Visual Affordance Prediction for Guiding Robot Exploration. | Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani |
| 2023 | ICRA | Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps. | Sudeep Dasari, Abhinav Gupta, Vikash Kumar |
| 2023 | ICRA | Train Offline, Test Online: A Real Robot Learning Benchmark. | 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 |
| 2023 | ICRA | Real World Offline Reinforcement Learning with Realistic Data Source. | Gaoyue Zhou, Liyiming Ke, Siddhartha S. Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar |
| 2022 | COMAD | Deep Reinforcement Learning Algorithm for Fast Solutions to Vehicle Routing Problem with Time-Windows. | Abhinav Gupta, Supratim Ghosh, Anulekha Dhara |
| 2022 | CoRL | Learning Multi-Objective Curricula for Robotic Policy Learning. | Jikun Kang, Miao Liu, Abhinav Gupta, Christopher Pal, Xue (Steve) Liu, Jie Fu |
| 2022 | CoRL | R3M: A Universal Visual Representation for Robot Manipulation. | Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta |
| 2022 | CoRL | Last-Mile Embodied Visual Navigation. | Justin Wasserman, Karmesh Yadav, Girish Chowdhary, Abhinav Gupta, Unnat Jain |
| 2022 | CVPR | Pretrain, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction. | Kalyan Vasudev Alwala, Abhinav Gupta, Shubham Tulsiani |
| 2022 | CVPR | What's in your hands? 3D Reconstruction of Generic Objects in Hands. | Yufei Ye, Abhinav Gupta, Shubham Tulsiani |
| 2022 | ECCV | The Challenges of Continuous Self-Supervised Learning. | Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta |
| 2022 | ICIN | User Experience Evaluation of HTTP/3 in Real-World Deployment Scenarios. | Abhinav Gupta, Radim Bartos |
| 2022 | ICML | The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. | Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta |
| 2021 | APSEC | Introducing Software System Course to Engineering Undergraduate Students - An Experience Report. | Sai Anirudh Karre, Abhinav Gupta, Lalit Mohan S., Y. Raghu Reddy |
| 2021 | CogSci | Structural Inductive Biases in Emergent Communication. | Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden, Chris Pal |
| 2021 | CoRL | A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation. | Bernardo Aceituno-Cabezas, Alberto Rodriguez, Shubham Tulsiani, Abhinav Gupta, Mustafa Mukadam |
| 2021 | CoRL | ReSkin: versatile, replaceable, lasting tactile skins. | Raunaq M. Bhirangi, Tess Lee Hellebrekers, Carmel Majidi, Abhinav Gupta |
| 2021 | CoRL | Robots on Demand: A Democratized Robotics Research Cloud. | Victoria Dean, Yonadav G. Shavit, Abhinav Gupta |
| 2021 | CVPR | KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA. | Kenneth Marino, Xinlei Chen, Devi Parikh, Abhinav Gupta, Marcus Rohrbach |
| 2021 | CVPR | Shelf-Supervised Mesh Prediction in the Wild. | Yufei Ye, Shubham Tulsiani, Abhinav Gupta |
| 2021 | ICCV | 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 |
| 2021 | ICCV | The Functional Correspondence Problem. | Zihang Lai, Senthil Purushwalkam, Abhinav Gupta |
| 2021 | ICCV | Where2Act: From Pixels to Actions for Articulated 3D Objects. | Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani |
| 2021 | ICCV | Audio-Visual Floorplan Reconstruction. | Senthil Purushwalkam, Sebasti Vicenc Amengual Gar, Vamsi Krishna Ithapu, Carl Schissler, Philip W. Robinson, Abhinav Gupta, Kristen Grauman |
| 2021 | ICCV | Wanderlust: Online Continual Object Detection in the Real World. | Jianren Wang, Xin Wang, Yue Shang-Guan, Abhinav Gupta |
| 2021 | ICLR | Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning. | Valerie Chen, Abhinav Gupta, Kenneth Marino |
| 2021 | ICML | PixelTransformer: Sample Conditioned Signal Generation. | Shubham Tulsiani, Abhinav Gupta |
| 2021 | ICRA | droidlet: modular, heterogenous, multi-modal agents. | 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 |
| 2021 | IROS | RTVS: A Lightweight Differentiable MPC Framework for Real-Time Visual Servoing. | M. Nomaan Qureshi, Pushkal Katara, Abhinav Gupta, Harit Pandya, Y. V. S. Harish, AadilMehdi J. Sanchawala, Gourav Kumar, Brojeshwar Bhowmick, K. Madhava Krishna |
| 2021 | WACV | Supervoxel Attention Graphs for Long-Range Video Modeling. | Yang Wang, Gedas Bertasius, Tae-Hyun Oh, Abhinav Gupta, Minh Hoai, Lorenzo Torresani |
| 2020 | CoRL | Transformers for One-Shot Visual Imitation. | Sudeep Dasari, Abhinav Gupta |
| 2020 | CoRL | DeepMPCVS: Deep Model Predictive Control for Visual Servoing. | Pushkal Katara, Y. V. S. Harish, Harit Pandya, Abhinav Gupta, AadilMehdi J. Sanchawala, Gourav Kumar, Brojeshwar Bhowmick, K. Madhava Krishna |
| 2020 | CoRL | Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping. | Adithyavairavan Murali, Weiyu Liu, Kenneth Marino, Sonia Chernova, Abhinav Gupta |
| 2020 | CoRL | Visual Imitation Made Easy. | Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, Lerrel Pinto |
| 2020 | CVPR | Neural Topological SLAM for Visual Navigation. | Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta, Saurabh Gupta |
| 2020 | CVPR | Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects. | Kiana Ehsani, Shubham Tulsiani, Saurabh Gupta, Ali Farhadi, Abhinav Gupta |
| 2020 | CVPR | Articulation-Aware Canonical Surface Mapping. | Nilesh Kulkarni, Abhinav Gupta, David F. Fouhey, Shubham Tulsiani |
| 2020 | CVPR | ClusterFit: Improving Generalization of Visual Representations. | Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan |
| 2020 | ECCV | Semantic Curiosity for Active Visual Learning. | Devendra Singh Chaplot, Helen Jiang, Saurabh Gupta, Abhinav Gupta |
| 2020 | ECCV | Aligning Videos in Space and Time. | Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta |
| 2020 | ICLR | Learning To Explore Using Active Neural SLAM. | Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, Ruslan Salakhutdinov |
| 2020 | ICLR | Intrinsic Motivation for Encouraging Synergistic Behavior. | Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta |
| 2020 | ICLR | Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning. | Qian Long, Zihan Zhou, Abhinav Gupta, Fei Fang, Yi Wu, Xiaolong Wang |
| 2020 | ICLR | On the interaction between supervision and self-play in emergent communication. | Ryan Lowe, Abhinav Gupta, Jakob N. Foerster, Douwe Kiela, Joelle Pineau |
| 2020 | ICLR | Discovering Motor Programs by Recomposing Demonstrations. | Tanmay Shankar, Shubham Tulsiani, Lerrel Pinto, Abhinav Gupta |
| 2020 | ICLR | Dynamics-Aware Embeddings. | William F. Whitney, Rajat Agarwal, Kyunghyun Cho, Abhinav Gupta |
| 2020 | ICML | Learning Robot Skills with Temporal Variational Inference. | Tanmay Shankar, Abhinav Gupta |
| 2020 | ICRA | Efficient Bimanual Manipulation Using Learned Task Schemas. | Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta |
| 2019 | CoRL | Object-centric Forward Modeling for Model Predictive Control. | Yufei Ye, Dhiraj Gandhi, Abhinav Gupta, Shubham Tulsiani |
| 2019 | EMNLP | Seeded self-play for language learning. | Abhinav Gupta, Ryan Lowe, Jakob N. Foerster, Douwe Kiela, Joelle Pineau |
| 2019 | ICCV | Scaling and Benchmarking Self-Supervised Visual Representation Learning. | Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra |
| 2019 | ICCV | 3D-RelNet: Joint Object and Relational Network for 3D Prediction. | Nilesh Kulkarni, Ishan Misra, Shubham Tulsiani, Abhinav Gupta |
| 2019 | ICCV | Canonical Surface Mapping via Geometric Cycle Consistency. | Nilesh Kulkarni, Shubham Tulsiani, Abhinav Gupta |
| 2019 | ICCV | Task-Driven Modular Networks for Zero-Shot Compositional Learning. | Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'Aurelio Ranzato |
| 2019 | ICCV | Compositional Video Prediction. | Yufei Ye, Maneesh Singh, Abhinav Gupta, Shubham Tulsiani |
| 2019 | ICLR | Learning Exploration Policies for Navigation. | Tao Chen, Saurabh Gupta, Abhinav Gupta |
| 2019 | ICLR | Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies. | Kenneth Marino, Abhinav Gupta, Rob Fergus, Arthur Szlam |
| 2019 | ICLR | Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces. | Senthil Purushwalkam, Abhinav Gupta, Danny M. Kaufman, Bryan C. Russell |
| 2019 | ICLR | Visual Semantic Navigation using Scene Priors. | Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta, Roozbeh Mottaghi |
| 2019 | ICLR | Environment Probing Interaction Policies. | Wenxuan Zhou, Lerrel Pinto, Abhinav Gupta |
| 2019 | ICML | Self-Supervised Exploration via Disagreement. | Deepak Pathak, Dhiraj Gandhi, Abhinav Gupta |
| 2018 | CoRL | Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation. | Pratyusha Sharma, Lekha Mohan, Lerrel Pinto, Abhinav Gupta |
| 2018 | CVPR | Non-Local Neural Networks. | Xiaolong Wang, Ross B. Girshick, Abhinav Gupta, Kaiming He |
| 2018 | CVPR | Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs. | Xiaolong Wang, Yufei Ye, Abhinav Gupta |
| 2018 | CVPR | Iterative Visual Reasoning Beyond Convolutions. | Xinlei Chen, Li-Jia Li, Li Fei-Fei, Abhinav Gupta |
| 2018 | CVPR | Learning by Asking Questions. | Ishan Misra, Ross B. Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten |
| 2018 | CVPR | Actor and Observer: Joint Modeling of First and Third-Person Videos. | Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari |
| 2018 | ECCV | Compositional Learning for Human Object Interaction. | Keizo Kato, Yin Li, Abhinav Gupta |
| 2018 | ECCV | Videos as Space-Time Region Graphs. | Xiaolong Wang, Abhinav Gupta |
| 2018 | ECCV | Interpretable Intuitive Physics Model. | Tian Ye, Xiaolong Wang, James Davidson, Abhinav Gupta |
| 2018 | ICRA | CASSL: Curriculum Accelerated Self-Supervised Learning. | Adithyavairavan Murali, Lerrel Pinto, Dhiraj Gandhi, Abhinav Gupta |
| 2018 | ICRA | Learning 6-DOF Grasping Interaction via Deep Geometry-Aware 3D Representations. | Xinchen Yan, Jasmine Hsu, Mohammad Khansari, Yunfei Bai, Arkanath Pathak, Abhinav Gupta, James Davidson, Honglak Lee |
| 2017 | CVPR | Binge Watching: Scaling Affordance Learning from Sitcoms. | Xiaolong Wang, Rohit Girdhar, Abhinav Gupta |
| 2017 | CVPR | A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection. | Xiaolong Wang, Abhinav Shrivastava, Abhinav Gupta |
| 2017 | CVPR | What's in a Question: Using Visual Questions as a Form of Supervision. | Siddha Ganju, Olga Russakovsky, Abhinav Gupta |
| 2017 | CVPR | ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification. | Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, Bryan C. Russell |
| 2017 | CVPR | The More You Know: Using Knowledge Graphs for Image Classification. | Kenneth Marino, Ruslan Salakhutdinov, Abhinav Gupta |
| 2017 | CVPR | From Red Wine to Red Tomato: Composition with Context. | Ishan Misra, Abhinav Gupta, Martial Hebert |
| 2017 | CVPR | Asynchronous Temporal Fields for Action Recognition. | Gunnar A. Sigurdsson, Santosh Kumar Divvala, Ali Farhadi, Abhinav Gupta |
| 2017 | CVPR | Learning from Noisy Large-Scale Datasets with Minimal Supervision. | Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, Serge J. Belongie |
| 2017 | ICASSP | Visual features for context-aware speech recognition. | Abhinav Gupta, Yajie Miao, Leonardo Neves, Florian Metze |
| 2017 | ICCV | Transitive Invariance for Self-Supervised Visual Representation Learning. | Xiaolong Wang, Kaiming He, Abhinav Gupta |
| 2017 | ICCV | Spatial Memory for Context Reasoning in Object Detection. | Xinlei Chen, Abhinav Gupta |
| 2017 | ICCV | What Actions are Needed for Understanding Human Actions in Videos? | Gunnar A. Sigurdsson, Olga Russakovsky, Abhinav Gupta |
| 2017 | ICCV | Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. | Chen Sun, Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta |
| 2017 | ICCV | The Pose Knows: Video Forecasting by Generating Pose Futures. | Jacob Walker, Kenneth Marino, Abhinav Gupta, Martial Hebert |
| 2017 | ICCV | Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection. | Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta |
| 2017 | ICCV | Visual Semantic Planning Using Deep Successor Representations. | Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi |
| 2017 | ICML | Robust Adversarial Reinforcement Learning. | Lerrel Pinto, James Davidson, Rahul Sukthankar, Abhinav Gupta |
| 2017 | ICRA | Supervision via competition: Robot adversaries for learning tasks. | Lerrel Pinto, James Davidson, Abhinav Gupta |
| 2017 | ICRA | Learning to push by grasping: Using multiple tasks for effective learning. | Lerrel Pinto, Abhinav Gupta |
| 2017 | IROS | Learning to fly by crashing. | Dhiraj Gandhi, Lerrel Pinto, Abhinav Gupta |
| 2017 | ICRA | Target-driven visual navigation in indoor scenes using deep reinforcement learning. | Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi |
| 2016 | CISS | An Adaptive Bacterial Foraging Algorithm for color image enhancement. | Om Prakash Verma, Rishi Raj Chopra, Abhinav Gupta |
| 2016 | CVPR | Marr Revisited: 2D-3D Alignment via Surface Normal Prediction. | Aayush Bansal, Bryan C. Russell, Abhinav Gupta |
| 2016 | CVPR | 3D Shape Attributes. | David F. Fouhey, Abhinav Gupta, Andrew Zisserman |
| 2016 | CVPR | Cross-Stitch Networks for Multi-task Learning. | Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, Martial Hebert |
| 2016 | CVPR | Training Region-Based Object Detectors with Online Hard Example Mining. | Abhinav Shrivastava, Abhinav Gupta, Ross B. Girshick |
| 2016 | CVPR | Actions ~ Transformations. | Xiaolong Wang, Ali Farhadi, Abhinav Gupta |
| 2016 | ECCV | Learning a Predictable and Generative Vector Representation for Objects. | Rohit Girdhar, David F. Fouhey, Mikel Rodriguez, Abhinav Gupta |
| 2016 | ECCV | The Visual Object Tracking VOT2016 Challenge Results. | Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Toms Vojr, Gustav Hger, Alan Lukezic, Gustavo Fernndez, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, lvaro Garca-Martn, Andrs Sols Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martnez, 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, Joo F. Henriques, Jochen Lang, Jongwon Choi, Jos M. Martnez, 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 Laganire, 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 Hbner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi |
| 2016 | ECCV | "What Happens If..." Learning to Predict the Effect of Forces in Images. | Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, Ali Farhadi |
| 2016 | ECCV | The Curious Robot: Learning Visual Representations via Physical Interactions. | Lerrel Pinto, Dhiraj Gandhi, Yuanfeng Han, Yong-Lae Park, Abhinav Gupta |
| 2016 | ECCV | Contextual Priming and Feedback for Faster R-CNN. | Abhinav Shrivastava, Abhinav Gupta |
| 2016 | ECCV | Learning Visual Storylines with Skipping Recurrent Neural Networks. | Gunnar A. Sigurdsson, Xinlei Chen, Abhinav Gupta |
| 2016 | ECCV | Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding. | Gunnar A. Sigurdsson, Gl Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, Abhinav Gupta |
| 2016 | ECCV | An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders. | Jacob Walker, Carl Doersch, Abhinav Gupta, Martial Hebert |
| 2016 | ECCV | Generative Image Modeling Using Style and Structure Adversarial Networks. | Xiaolong Wang, Abhinav Gupta |
| 2016 | HCOMP | Much Ado About Time: Exhaustive Annotation of Temporal Data. | Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi, Ivan Laptev, Abhinav Gupta |
| 2016 | ICRA | Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours. | Lerrel Pinto, Abhinav Gupta |
| 2016 | WACV | Cutting through the clutter: Task-relevant features for image matching. | Rohit Girdhar, David F. Fouhey, Kris M. Kitani, Abhinav Gupta, Martial Hebert |
| 2015 | AAAI | 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 |
| 2015 | CVPR | Sense discovery via co-clustering on images and text. | Xinlei Chen, Alan Ritter, Abhinav Gupta, Tom M. Mitchell |
| 2015 | CVPR | Designing deep networks for surface normal estimation. | Xiaolong Wang, David F. Fouhey, Abhinav Gupta |
| 2015 | ICCV | Webly Supervised Learning of Convolutional Networks. | Xinlei Chen, Abhinav Gupta |
| 2015 | ICCV | Unsupervised Visual Representation Learning by Context Prediction. | Carl Doersch, Abhinav Gupta, Alexei A. Efros |
| 2015 | ICCV | Single Image 3D without a Single 3D Image. | David F. Fouhey, Wajahat Hussain, Abhinav Gupta, Martial Hebert |
| 2015 | ICCV | Dense Optical Flow Prediction from a Static Image. | Jacob Walker, Abhinav Gupta, Martial Hebert |
| 2015 | ICCV | Unsupervised Learning of Visual Representations Using Videos. | Xiaolong Wang, Abhinav Gupta |
| 2014 | CVPR | Enriching Visual Knowledge Bases via Object Discovery and Segmentation. | Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta |
| 2014 | CVPR | Patch to the Future: Unsupervised Visual Prediction. | Jacob Walker, Abhinav Gupta, Martial Hebert |
| 2014 | ECCV | Context as Supervisory Signal: Discovering Objects with Predictable Context. | Carl Doersch, Abhinav Gupta, Alexei A. Efros |
| 2014 | ECCV | Unfolding an Indoor Origami World. | David Ford Fouhey, Abhinav Gupta, Martial Hebert |
| 2013 | CVPR | Representing Videos Using Mid-level Discriminative Patches. | Arpit Jain, Abhinav Gupta, Mikel Rodriguez, Larry S. Davis |
| 2013 | ICCV | NEIL: Extracting Visual Knowledge from Web Data. | Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta |
| 2013 | ICCV | Data-Driven 3D Primitives for Single Image Understanding. | David F. Fouhey, Abhinav Gupta, Martial Hebert |
| 2013 | ICCV | Building Part-Based Object Detectors via 3D Geometry. | Abhinav Shrivastava, Abhinav Gupta |
| 2012 | ECCV | Scene Semantics from Long-Term Observation of People. | Vincent Delaitre, David F. Fouhey, Ivan Laptev, Josef Sivic, Abhinav Gupta, Alexei A. Efros |
| 2012 | ECCV | 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 |
| 2012 | ECCV | Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes. | Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta |
| 2012 | ECCV | Unsupervised Discovery of Mid-Level Discriminative Patches. | Saurabh Singh, Abhinav Gupta, Alexei A. Efros |
| 2012 | ICML | Exemplar-SVMs for Visual Ob ject Detection, Label Transfer and Image Retrieval. | Tomasz Malisiewicz, Abhinav Shrivastava, Abhinav Gupta, Alexei A. Efros |
| 2011 | CVPR | Piecing together the segmentation jigsaw using context. | Xi Chen, Arpit Jain, Abhinav Gupta, Larry S. Davis |
| 2011 | CVPR | From 3D scene geometry to human workspace. | Abhinav Gupta, Scott Satkin, Alexei A. Efros, Martial Hebert |
| 2011 | ICCV | Ensemble of exemplar-SVMs for object detection and beyond. | Tomasz Malisiewicz, Abhinav Gupta, Alexei A. Efros |
| 2010 | CVPR | Beyond active noun tagging: Modeling contextual interactions for multi-class active learning. | Behjat Siddiquie, Abhinav Gupta |
| 2010 | ECCV | Blocks World Revisited: Image Understanding Using Qualitative Geometry and Mechanics. | Abhinav Gupta, Alexei A. Efros, Martial Hebert |
| 2010 | ECCV | Learning What and How of Contextual Models for Scene Labeling. | Arpit Jain, Abhinav Gupta, Larry S. Davis |
| 2009 | CVPR | Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos. | Abhinav Gupta, Praveen Srinivasan, Jianbo Shi, Larry S. Davis |
| 2008 | CVPR | Context and observation driven latent variable model for human pose estimation. | Abhinav Gupta, Trista P. Chen, Francine Chen, Don Kimber, Larry S. Davis |
| 2008 | ECCV | Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers. | Abhinav Gupta, Larry S. Davis |
| 2007 | CVPR | Objects in Action: An Approach for Combining Action Understanding and Object Perception. | Abhinav Gupta, Larry S. Davis |
| 2007 | ICCV | COST: An Approach for Camera Selection and Multi-Object Inference Ordering in Dynamic Scenes. | Abhinav Gupta, Anurag Mittal, Larry S. Davis |
| 2007 | INFOCOM | Low-Complexity Distributed Scheduling Algorithms for Wireless Networks. | Abhinav Gupta, Xiaojun Lin, R. Srikant |
| 2005 | ICIP | Extracting regions of symmetry. | Abhinav Gupta, V. Shiv Naga Prasad, Larry S. Davis |
| 2005 | VLDB | Optimizing Refresh of a Set of Materialized Views. | Nathan Folkert, Abhinav Gupta, Andrew Witkowski, Sankar Subramanian, Srikanth Bellamkonda, Shrikanth Shankar, Tolga Bozkaya, Lei Sheng |
| 2004 | ICONIP | Non-linear Dimensionality Reduction by Locally Linear Isomaps. | Ashutosh Saxena, Abhinav Gupta, Amitabha Mukerjee |
| 2004 | MASCOTS | Experimental Evaluation of TCP Performance in Multi-Hop Wireless Ad Hoc Networks. | Abhinav Gupta, Ian Wormsbecker, Carey L. Williamson |
| 2004 | SIGMOD | Data Densification in a Relational Database System. | Abhinav Gupta, Sankar Subramanian, Srikanth Bellamkonda, Tolga Bozkaya, Nathan Folkert, Lei Sheng, Andrew Witkowski |
| 2003 | SIGMOD | Spreadsheets in RDBMS for OLAP. | Andrew Witkowski, Srikanth Bellamkonda, Tolga Bozkaya, Gregory Dorman, Nathan Folkert, Abhinav Gupta, Lei Sheng, Sankar Subramanian |
| 2003 | VLDB | Business Modelling Using SQL Spreadsheets. | Andrew Witkowski, Srikanth Bellamkonda, Tolga Bozkaya, Nathan Folkert, Abhinav Gupta, Lei Sheng, Sankar Subramanian |