Watermarking of MPEG-4 Videos. - Abhinav Gupta 001; Phalguni Gupta (ICBA, 2004)

Non-linear Dimensionality Reduction by Locally Linear Isomaps. - Ashutosh Saxena; Abhinav Gupta 001; Amitabha Mukerjee (ICONIP, 2004)

Extracting regions of symmetry. - Abhinav Gupta 001; V. Shiv Naga Prasad; Larry S. Davis (ICIP (3), 2005)

Constraint Integration for Multiview Pose Estimation of Humans with Self-Occlusions. - Abhinav Gupta 001; Anurag Mittal; Larry S. Davis (3DPVT, 2006)

Objects in Action: An Approach for Combining Action Understanding and Object Perception. - Abhinav Gupta 001; Larry S. Davis (CVPR, 2007)

COST: An Approach for Camera Selection and Multi-Object Inference Ordering in Dynamic Scenes. - Abhinav Gupta 001; Anurag Mittal; Larry S. Davis (ICCV, 2007)

Context and observation driven latent variable model for human pose estimation. - Abhinav Gupta 001; Trista P. Chen; Francine Chen 001; Don Kimber; Larry S. Davis (CVPR, 2008)

Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers. - Abhinav Gupta 001; Larry S. Davis (ECCV (1), 2008)

A "Shape Aware" Model for semi-supervised Learning of Objects and its Context. - Abhinav Gupta 001; Jianbo Shi; Larry S. Davis (NIPS, 2008)

Constraint Integration for Efficient Multiview Pose Estimation with Self-Occlusions. - Abhinav Gupta 001; Anurag Mittal; Larry S. Davis (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos. - Abhinav Gupta 001; Praveen Srinivasan; Jianbo Shi; Larry S. Davis (CVPR, 2009)

A 90nm CMOS low-power 60GHz transceiver with integrated baseband circuitry. - Cristian Marcu; Debopriyo Chowdhury; Chintan Thakkar; Lingkai Kong; Maryam Tabesh; Jung-Dong Park; Yanjie Wang; Bagher Afshar; Abhinav Gupta 001; Amin Arbabian; Simone Gambini; Reza Zamani; et al. (ISSCC, 2009)

A 90 nm CMOS Low-Power 60 GHz Transceiver With Integrated Baseband Circuitry. - Cristian Marcu; Debopriyo Chowdhury; Chintan Thakkar; Jung-Dong Park; Lingkai Kong; Maryam Tabesh; Yanjie Wang; Bagher Afshar; Abhinav Gupta 001; Amin Arbabian; Simone Gambini; Reza Zamani; et al. (IEEE J. Solid State Circuits, 2009)

Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition. - Abhinav Gupta 001; Aniruddha Kembhavi; Larry S. Davis (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Beyond Nouns and Verbs. - Abhinav Gupta 001 (2009)

Beyond active noun tagging: Modeling contextual interactions for multi-class active learning. - Behjat Siddiquie; Abhinav Gupta 001 (CVPR, 2010)

Blocks World Revisited: Image Understanding Using Qualitative Geometry and Mechanics. - Abhinav Gupta 001; Alexei A. Efros; Martial Hebert (ECCV (4), 2010)

Learning What and How of Contextual Models for Scene Labeling. - Arpit Jain; Abhinav Gupta 001; Larry S. Davis (ECCV (4), 2010)

Demonstration of integrated micro-electro-mechanical switch circuits for VLSI applications. - Fred Chen; Matthew Spencer; Rhesa Nathanael; Chengcheng Wang; Hossein Fariborzi; Abhinav Gupta 001; Hei Kam; Vincent Pott; Jaeseok Jeon; Tsu-Jae King Liu; Dejan Markovic; Vladimir Stojanovic; et al. (ISSCC, 2010)

Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces. - David C. Lee; Abhinav Gupta 001; Martial Hebert; Takeo Kanade (NIPS, 2010)

Piecing together the segmentation jigsaw using context. - Xi Chen 016; Arpit Jain; Abhinav Gupta 001; Larry S. Davis (CVPR, 2011)

From 3D scene geometry to human workspace. - Abhinav Gupta 001; Scott Satkin; Alexei A. Efros; Martial Hebert (CVPR, 2011)

Ensemble of exemplar-SVMs for object detection and beyond. - Tomasz Malisiewicz; Abhinav Gupta 001; Alexei A. Efros (ICCV, 2011)

Demonstration of Integrated Micro-Electro-Mechanical Relay Circuits for VLSI Applications. - Matthew Spencer; Fred Chen; Cheng C. Wang; Rhesa Nathanael; Hossein Fariborzi; Abhinav Gupta 001; Hei Kam; Vincent Pott; Jaeseok Jeon; Tsu-Jae King Liu; Dejan Markovic; Elad Alon; et al. (IEEE J. Solid State Circuits, 2011)

Data-driven visual similarity for cross-domain image matching. - Abhinav Shrivastava; Tomasz Malisiewicz; Abhinav Gupta 001; Alexei A. Efros (ACM Trans. Graph., 2011)

Scene Semantics from Long-Term Observation of People. - Vincent Delaitre; David F. Fouhey; Ivan Laptev; Josef Sivic; Abhinav Gupta 001; Alexei A. Efros (ECCV (6), 2012)

Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes. - Abhinav Shrivastava; Saurabh Singh; Abhinav Gupta 001 (ECCV (3), 2012)

Unsupervised Discovery of Mid-Level Discriminative Patches. - Saurabh Singh; Abhinav Gupta 001; Alexei A. Efros (ECCV (2), 2012)

Exemplar-SVMs for Visual Ob ject Detection, Label Transfer and Image Retrieval. - Tomasz Malisiewicz; Abhinav Shrivastava; Abhinav Gupta 001; Alexei A. Efros (ICML, 2012)

BBNVISER : BBN VISER TRECVID 2012 Multimedia Event Detection and Multimedia Event Recounting Systems. - Pradeep Natarajan; Prem Natarajan; Shuang Wu 003; Xiaodan Zhuang; Amelio Vázquez Reina; Shiv Vitaladevuni; Kleovoulos Tsourides; Carl Andersen 001; Rohit Prasad; Guangnan Ye; Dong Liu 001; Shih-Fu Chang; et al. (TRECVID, 2012)

Representing Videos Using Mid-level Discriminative Patches. - Arpit Jain; Abhinav Gupta 001; Mikel Rodriguez; Larry S. Davis (CVPR, 2013)

NEIL: Extracting Visual Knowledge from Web Data. - Xinlei Chen; Abhinav Shrivastava; Abhinav Gupta 001 (ICCV, 2013)

Data-Driven 3D Primitives for Single Image Understanding. - David F. Fouhey; Abhinav Gupta 001; Martial Hebert (ICCV, 2013)

Building Part-Based Object Detectors via 3D Geometry. - Abhinav Shrivastava; Abhinav Gupta 001 (ICCV, 2013)

Mid-level Visual Element Discovery as Discriminative Mode Seeking. - Carl Doersch; Abhinav Gupta 001; Alexei A. Efros (NIPS, 2013)

BBN VISER TRECVID 2013 Multimedia Event Detection and Multimedia Event Recounting Systems. - Pradeep Natarajan; Shuang Wu 003; Florian Luisier; Xiaodan Zhuang; Manasvi Tickoo; Guangnan Ye; Dong Liu 001; Shih-Fu Chang; Imran Saleemi; Mubarak Shah; Vlad I. Morariu; Larry Davis 001; et al. (TRECVID, 2013)

Enriching Visual Knowledge Bases via Object Discovery and Segmentation. - Xinlei Chen; Abhinav Shrivastava; Abhinav Gupta 001 (CVPR, 2014)

Patch to the Future: Unsupervised Visual Prediction. - Jacob Walker; Abhinav Gupta 001; Martial Hebert (CVPR, 2014)

Context as Supervisory Signal: Discovering Objects with Predictable Context. - Carl Doersch; Abhinav Gupta 001; Alexei A. Efros (ECCV (3), 2014)

Unfolding an Indoor Origami World. - David Ford Fouhey; Abhinav Gupta 001; Martial Hebert (ECCV (6), 2014)

BBN VISER TRECVID 2014 Multimedia Event Detection and Multimedia Event Recounting Systems. - Florian Luisier; Manasvi Tickoo; Walter Andrews; Guangnan Ye; Dong Liu 001; Shih-Fu Chang; Ruslan Salakhutdinov; Vlad I. Morariu; Larry Davis 001; Abhinav Gupta 001; Ismail Haritaoglu; Sadiye Guler; et al. (TRECVID, 2014)

People Watching: Human Actions as a Cue for Single View Geometry. - David F. Fouhey; Vincent Delaitre; Abhinav Gupta 001; Alexei A. Efros; Ivan Laptev; Josef Sivic (Int. J. Comput. Vis., 2014)

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 001; Bryan Kisiel; Jayant Krishnamurthy; Ni Lao; Kathryn Mazaitis; et al. (AAAI, 2015)

Sense discovery via co-clustering on images and text. - Xinlei Chen; Alan Ritter; Abhinav Gupta 001; Tom M. Mitchell (CVPR, 2015)

Designing deep networks for surface normal estimation. - Xiaolong Wang 004; David F. Fouhey; Abhinav Gupta 001 (CVPR, 2015)

Webly Supervised Learning of Convolutional Networks. - Xinlei Chen; Abhinav Gupta 001 (ICCV, 2015)

Unsupervised Visual Representation Learning by Context Prediction. - Carl Doersch; Abhinav Gupta 001; Alexei A. Efros (ICCV, 2015)

Single Image 3D without a Single 3D Image. - David F. Fouhey; Wajahat Hussain; Abhinav Gupta 001; Martial Hebert (ICCV, 2015)

Dense Optical Flow Prediction from a Static Image. - Jacob Walker; Abhinav Gupta 001; Martial Hebert (ICCV, 2015)

Unsupervised Learning of Visual Representations Using Videos. - Xiaolong Wang 004; Abhinav Gupta 001 (ICCV, 2015)

What makes Paris look like Paris? - Carl Doersch; Saurabh Singh; Abhinav Gupta 001; Josef Sivic; Alexei A. Efros (Commun. ACM, 2015)

Mid-level Elements for Object Detection. - Aayush Bansal; Abhinav Shrivastava; Carl Doersch; Abhinav Gupta 001 (CoRR, 2015)

In Defense of the Direct Perception of Affordances. - David F. Fouhey; Xiaolong Wang 004; Abhinav Gupta 001 (CoRR, 2015)

Transferring Rich Feature Hierarchies for Robust Visual Tracking. - Naiyan Wang; Siyi Li; Abhinav Gupta 001; Dit-Yan Yeung (CoRR, 2015)

Applying artificial vision models to human scene understanding. - Elissa Michele Aminoff; Mariya Toneva; Abhinav Shrivastava; Xinlei Chen; Ishan Misra; Abhinav Gupta 001; Michael J. Tarr (Frontiers Comput. Neurosci., 2015)

Marr Revisited: 2D-3D Alignment via Surface Normal Prediction. - Aayush Bansal; Bryan C. Russell; Abhinav Gupta 001 (CVPR, 2016)

3D Shape Attributes. - David F. Fouhey; Abhinav Gupta 001; Andrew Zisserman (CVPR, 2016)

Cross-Stitch Networks for Multi-task Learning. - Ishan Misra; Abhinav Shrivastava; Abhinav Gupta 001; Martial Hebert (CVPR, 2016)

Training Region-Based Object Detectors with Online Hard Example Mining. - Abhinav Shrivastava; Abhinav Gupta 001; Ross B. Girshick (CVPR, 2016)

Actions Transformations. - Xiaolong Wang 004; Ali Farhadi; Abhinav Gupta 001 (CVPR, 2016)

Learning a Predictable and Generative Vector Representation for Objects. - Rohit Girdhar; David F. Fouhey; Mikel Rodriguez; Abhinav Gupta 001 (ECCV (6), 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 001; Alfredo Petrosino; et al. (ECCV Workshops (2), 2016)

"What Happens If..." Learning to Predict the Effect of Forces in Images. - Roozbeh Mottaghi; Mohammad Rastegari; Abhinav Gupta 001; Ali Farhadi (ECCV (4), 2016)

The Curious Robot: Learning Visual Representations via Physical Interactions. - Lerrel Pinto; Dhiraj Gandhi; Yuanfeng Han; Yong-Lae Park; Abhinav Gupta 001 (ECCV (2), 2016)

Contextual Priming and Feedback for Faster R-CNN. - Abhinav Shrivastava; Abhinav Gupta 001 (ECCV (1), 2016)

Learning Visual Storylines with Skipping Recurrent Neural Networks. - Gunnar A. Sigurdsson; Xinlei Chen; Abhinav Gupta 001 (ECCV (5), 2016)

Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding. - Gunnar A. Sigurdsson; Gül Varol; Xiaolong Wang 004; Ali Farhadi; Ivan Laptev; Abhinav Gupta 001 (ECCV (1), 2016)

An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders. - Jacob Walker; Carl Doersch; Abhinav Gupta 001; Martial Hebert (ECCV (7), 2016)

Generative Image Modeling Using Style and Structure Adversarial Networks. - Xiaolong Wang 004; Abhinav Gupta 001 (ECCV (4), 2016)

Much Ado About Time: Exhaustive Annotation of Temporal Data. - Gunnar A. Sigurdsson; Olga Russakovsky; Ali Farhadi; Ivan Laptev; Abhinav Gupta 001 (HCOMP, 2016)

Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours. - Lerrel Pinto; Abhinav Gupta 001 (ICRA, 2016)

Cutting through the clutter: Task-relevant features for image matching. - Rohit Girdhar; David F. Fouhey; Kris M. Kitani; Abhinav Gupta 001; Martial Hebert (WACV, 2016)

PixelNet: Towards a General Pixel-level Architecture. - Aayush Bansal; Xinlei Chen; Bryan C. Russell; Abhinav Gupta 001; Deva Ramanan (CoRR, 2016)

Understanding Higher-Order Shape via 3D Shape Attributes. - David F. Fouhey; Abhinav Gupta 001; Andrew Zisserman (CoRR, 2016)

Pose from Action: Unsupervised Learning of Pose Features based on Motion. - Senthil Purushwalkam; Abhinav Gupta 001 (CoRR, 2016)

Beyond Skip Connections: Top-Down Modulation for Object Detection. - Abhinav Shrivastava; Rahul Sukthankar; Jitendra Malik; Abhinav Gupta 001 (CoRR, 2016)

Binge Watching: Scaling Affordance Learning from Sitcoms. - Xiaolong Wang 004; Rohit Girdhar; Abhinav Gupta 001 (CVPR, 2017)

A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection. - Xiaolong Wang 004; Abhinav Shrivastava; Abhinav Gupta 001 (CVPR, 2017)

What's in a Question: Using Visual Questions as a Form of Supervision. - Siddha Ganju; Olga Russakovsky; Abhinav Gupta 001 (CVPR, 2017)

ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification. - Rohit Girdhar; Deva Ramanan; Abhinav Gupta 001; Josef Sivic; Bryan C. Russell (CVPR, 2017)

The More You Know: Using Knowledge Graphs for Image Classification. - Kenneth Marino; Ruslan Salakhutdinov; Abhinav Gupta 001 (CVPR, 2017)

From Red Wine to Red Tomato: Composition with Context. - Ishan Misra; Abhinav Gupta 001; Martial Hebert (CVPR, 2017)

Asynchronous Temporal Fields for Action Recognition. - Gunnar A. Sigurdsson; Santosh Kumar Divvala; Ali Farhadi; Abhinav Gupta 001 (CVPR, 2017)

Learning from Noisy Large-Scale Datasets with Minimal Supervision. - Andreas Veit; Neil Alldrin; Gal Chechik; Ivan Krasin; Abhinav Gupta 001; Serge J. Belongie (CVPR, 2017)

Transitive Invariance for Self-Supervised Visual Representation Learning. - Xiaolong Wang 004; Kaiming He; Abhinav Gupta 001 (ICCV, 2017)

Spatial Memory for Context Reasoning in Object Detection. - Xinlei Chen; Abhinav Gupta 001 (ICCV, 2017)

What Actions are Needed for Understanding Human Actions in Videos? - Gunnar A. Sigurdsson; Olga Russakovsky; Abhinav Gupta 001 (ICCV, 2017)

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. - Chen Sun 002; Abhinav Shrivastava; Saurabh Singh; Abhinav Gupta 001 (ICCV, 2017)

The Pose Knows: Video Forecasting by Generating Pose Futures. - Jacob Walker; Kenneth Marino; Abhinav Gupta 001; Martial Hebert (ICCV, 2017)

Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection. - Yuan Yuan 002; Xiaodan Liang; Xiaolong Wang 004; Dit-Yan Yeung; Abhinav Gupta 001 (ICCV, 2017)

Visual Semantic Planning Using Deep Successor Representations. - Yuke Zhu; Daniel Gordon; Eric Kolve; Dieter Fox; Li Fei-Fei 001; Abhinav Gupta 001; Roozbeh Mottaghi; Ali Farhadi (ICCV, 2017)

Robust Adversarial Reinforcement Learning. - Lerrel Pinto; James Davidson; Rahul Sukthankar; Abhinav Gupta 001 (ICML, 2017)

Supervision via competition: Robot adversaries for learning tasks. - Lerrel Pinto; James Davidson; Abhinav Gupta 001 (ICRA, 2017)

Learning to push by grasping: Using multiple tasks for effective learning. - Lerrel Pinto; Abhinav Gupta 001 (ICRA, 2017)

Target-driven visual navigation in indoor scenes using deep reinforcement learning. - Yuke Zhu; Roozbeh Mottaghi; Eric Kolve; Joseph J. Lim; Abhinav Gupta 001; Li Fei-Fei 001; Ali Farhadi (ICRA, 2017)

Learning to fly by crashing. - Dhiraj Gandhi; Lerrel Pinto; Abhinav Gupta 001 (IROS, 2017)

PixelNet: Representation of the pixels, by the pixels, and for the pixels. - Aayush Bansal; Xinlei Chen; Bryan C. Russell; Abhinav Gupta 001; Deva Ramanan (CoRR, 2017)

An Implementation of Faster RCNN with Study for Region Sampling. - Xinlei Chen; Abhinav Gupta 001 (CoRR, 2017)

WebVision Challenge: Visual Learning and Understanding With Web Data. - Wen Li 001; Limin Wang 002; Wei Li 044; Eirikur Agustsson; Jesse Berent; Abhinav Gupta 001; Rahul Sukthankar; Luc Van Gool (CoRR, 2017)

Learning Grasping Interaction with Geometry-aware 3D Representations. - Xinchen Yan; Mohi Khansari; Yunfei Bai; Jasmine Hsu; Arkanath Pathak; Abhinav Gupta 001; James Davidson; Honglak Lee (CoRR, 2017)

AI2-THOR: An Interactive 3D Environment for Visual AI. - Eric Kolve; Roozbeh Mottaghi; Daniel Gordon; Yuke Zhu; Abhinav Gupta 001; Ali Farhadi (CoRR, 2017)

Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation. - Pratyusha Sharma; Lekha Mohan; Lerrel Pinto; Abhinav Gupta 001 (CoRL, 2018)

Non-Local Neural Networks. - Xiaolong Wang 004; Ross B. Girshick; Abhinav Gupta 001; Kaiming He (CVPR, 2018)

Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs. - Xiaolong Wang 004; Yufei Ye; Abhinav Gupta 001 (CVPR, 2018)

Iterative Visual Reasoning Beyond Convolutions. - Xinlei Chen; Li-Jia Li 001; Li Fei-Fei 001; Abhinav Gupta 001 (CVPR, 2018)

Learning by Asking Questions. - Ishan Misra; Ross B. Girshick; Rob Fergus; Martial Hebert; Abhinav Gupta 001; Laurens van der Maaten (CVPR, 2018)

Actor and Observer: Joint Modeling of First and Third-Person Videos. - Gunnar A. Sigurdsson; Abhinav Gupta 001; Cordelia Schmid; Ali Farhadi; Karteek Alahari (CVPR, 2018)

Compositional Learning for Human Object Interaction. - Keizo Kato; Yin Li 003; Abhinav Gupta 001 (ECCV (14), 2018)

Videos as Space-Time Region Graphs. - Xiaolong Wang 004; Abhinav Gupta 001 (ECCV (5), 2018)

Interpretable Intuitive Physics Model. - Tian Ye 006; Xiaolong Wang 004; James Davidson; Abhinav Gupta 001 (ECCV (12), 2018)

CASSL: Curriculum Accelerated Self-Supervised Learning. - Adithyavairavan Murali; Lerrel Pinto; Dhiraj Gandhi; Abhinav Gupta 001 (ICRA, 2018)

Learning 6-DOF Grasping Interaction via Deep Geometry-Aware 3D Representations. - Xinchen Yan; Jasmine Hsu; Mohammad Khansari 002; Yunfei Bai; Arkanath Pathak; Abhinav Gupta 001; James Davidson; Honglak Lee (ICRA, 2018)

Learning to Grasp Without Seeing. - Adithyavairavan Murali; Yin Li 003; Dhiraj Gandhi; Abhinav Gupta 001 (ISER, 2018)

Hardware Conditioned Policies for Multi-Robot Transfer Learning. - Tao Chen 046; Adithyavairavan Murali; Abhinav Gupta 001 (NeurIPS, 2018)

Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias. - Abhinav Gupta 001; Adithyavairavan Murali; Dhiraj Gandhi; Lerrel Pinto (NeurIPS, 2018)

Beyond Grids: Learning Graph Representations for Visual Recognition. - Yin Li 003; Abhinav Gupta 001 (NeurIPS, 2018)

Never-ending learning. - Tom M. Mitchell; William W. Cohen; Estevam R. Hruschka Jr.; Partha P. Talukdar; Bo Yang 011; Justin Betteridge; Andrew Carlson; Bhavana Dalvi Mishra; Matt Gardner 001; Bryan Kisiel; Jayant Krishnamurthy; Ni Lao; et al. (Commun. ACM, 2018)

Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos. - Gunnar A. Sigurdsson; Abhinav Gupta 001; Cordelia Schmid; Ali Farhadi; Karteek Alahari (CoRR, 2018)

BOLD5000: A public fMRI dataset of 5000 images. - Nadine Chang; John A. Pyles; Abhinav Gupta 001; Michael J. Tarr; Elissa M. Aminoff (CoRR, 2018)

Object-centric Forward Modeling for Model Predictive Control. - Yufei Ye; Dhiraj Gandhi; Abhinav Gupta 001; Shubham Tulsiani (CoRL, 2019)

Scaling and Benchmarking Self-Supervised Visual Representation Learning. - Priya Goyal; Dhruv Mahajan 001; Abhinav Gupta 001; Ishan Misra (ICCV, 2019)

3D-RelNet: Joint Object and Relational Network for 3D Prediction. - Nilesh Kulkarni; Ishan Misra; Shubham Tulsiani; Abhinav Gupta 001 (ICCV, 2019)

Canonical Surface Mapping via Geometric Cycle Consistency. - Nilesh Kulkarni; Shubham Tulsiani; Abhinav Gupta 001 (ICCV, 2019)

Task-Driven Modular Networks for Zero-Shot Compositional Learning. - Senthil Purushwalkam; Maximilian Nickel; Abhinav Gupta 001; Marc'Aurelio Ranzato (ICCV, 2019)

Compositional Video Prediction. - Yufei Ye; Maneesh Singh 001; Abhinav Gupta 001; Shubham Tulsiani (ICCV, 2019)

Learning Exploration Policies for Navigation. - Tao Chen 046; Saurabh Gupta 001; Abhinav Gupta 001 (ICLR (Poster), 2019)

Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies. - Kenneth Marino; Abhinav Gupta 001; Rob Fergus; Arthur Szlam (ICLR (Poster), 2019)

Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces. - Senthil Purushwalkam; Abhinav Gupta 001; Danny M. Kaufman; Bryan C. Russell (ICLR (Poster), 2019)

Visual Semantic Navigation using Scene Priors. - Wei Yang 019; Xiaolong Wang 004; Ali Farhadi; Abhinav Gupta 001; Roozbeh Mottaghi (ICLR (Poster), 2019)

Environment Probing Interaction Policies. - Wenxuan Zhou; Lerrel Pinto; Abhinav Gupta 001 (ICLR (Poster), 2019)

Self-Supervised Exploration via Disagreement. - Deepak Pathak; Dhiraj Gandhi; Abhinav Gupta 001 (ICML, 2019)

Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller. - Pratyusha Sharma; Deepak Pathak; Abhinav Gupta 001 (NeurIPS, 2019)

PyRobot: An Open-source Robotics Framework for Research and Benchmarking. - Adithyavairavan Murali; Tao Chen 046; Kalyan Vasudev Alwala; Dhiraj Gandhi; Lerrel Pinto; Saurabh Gupta 001; Abhinav Gupta 001 (CoRR, 2019)

From Images to 3D Shape Attributes. - David F. Fouhey; Abhinav Gupta 001; Andrew Zisserman (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Transformers for One-Shot Visual Imitation. - Sudeep Dasari; Abhinav Gupta 001 (CoRL, 2020)

Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping. - Adithyavairavan Murali; Weiyu Liu; Kenneth Marino; Sonia Chernova; Abhinav Gupta 001 (CoRL, 2020)

Visual Imitation Made Easy. - Sarah Young; Dhiraj Gandhi; Shubham Tulsiani; Abhinav Gupta 001; Pieter Abbeel; Lerrel Pinto (CoRL, 2020)

Neural Topological SLAM for Visual Navigation. - Devendra Singh Chaplot; Ruslan Salakhutdinov; Abhinav Gupta 001; Saurabh Gupta 001 (CVPR, 2020)

Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects. - Kiana Ehsani; Shubham Tulsiani; Saurabh Gupta 001; Ali Farhadi; Abhinav Gupta 001 (CVPR, 2020)

Articulation-Aware Canonical Surface Mapping. - Nilesh Kulkarni; Abhinav Gupta 001; David F. Fouhey; Shubham Tulsiani (CVPR, 2020)

ClusterFit: Improving Generalization of Visual Representations. - Xueting Yan; Ishan Misra; Abhinav Gupta 001; Deepti Ghadiyaram; Dhruv Mahajan 001 (CVPR, 2020)

Semantic Curiosity for Active Visual Learning. - Devendra Singh Chaplot; Helen Jiang; Saurabh Gupta 001; Abhinav Gupta 001 (ECCV (6), 2020)

Aligning Videos in Space and Time. - Senthil Purushwalkam; Tian Ye 006; Saurabh Gupta 001; Abhinav Gupta 001 (ECCV (26), 2020)

Learning To Explore Using Active Neural SLAM. - Devendra Singh Chaplot; Dhiraj Gandhi; Saurabh Gupta 001; Abhinav Gupta 001; Ruslan Salakhutdinov (ICLR, 2020)

Intrinsic Motivation for Encouraging Synergistic Behavior. - Rohan Chitnis; Shubham Tulsiani; Saurabh Gupta 001; Abhinav Gupta 001 (ICLR, 2020)

Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning. - Qian Long; Zihan Zhou 002; Abhinav Gupta 001; Fei Fang 001; Yi Wu 013; Xiaolong Wang 004 (ICLR, 2020)

Discovering Motor Programs by Recomposing Demonstrations. - Tanmay Shankar; Shubham Tulsiani; Lerrel Pinto; Abhinav Gupta 001 (ICLR, 2020)

Dynamics-Aware Embeddings. - William F. Whitney; Rajat Agarwal; Kyunghyun Cho; Abhinav Gupta 001 (ICLR, 2020)

Learning Robot Skills with Temporal Variational Inference. - Tanmay Shankar; Abhinav Gupta 001 (ICML, 2020)

Efficient Bimanual Manipulation Using Learned Task Schemas. - Rohan Chitnis; Shubham Tulsiani; Saurabh Gupta 001; Abhinav Gupta 001 (ICRA, 2020)

Neural Dynamic Policies for End-to-End Sensorimotor Learning. - Shikhar Bahl; Mustafa Mukadam; Abhinav Gupta 001; Deepak Pathak (NeurIPS, 2020)

Object Goal Navigation using Goal-Oriented Semantic Exploration. - Devendra Singh Chaplot; Dhiraj Gandhi; Abhinav Gupta 001; Ruslan Salakhutdinov (NeurIPS, 2020)

See, Hear, Explore: Curiosity via Audio-Visual Association. - Victoria Dean; Shubham Tulsiani; Abhinav Gupta 001 (NeurIPS, 2020)

Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases. - Senthil Purushwalkam; Abhinav Gupta 001 (NeurIPS, 2020)

Swoosh! Rattle! Thump! - Actions that Sound. - Dhiraj Gandhi; Abhinav Gupta 001; Lerrel Pinto (Robotics: Science and Systems, 2020)

Beyond the Camera: Neural Networks in World Coordinates. - Gunnar A. Sigurdsson; Abhinav Gupta 001; Cordelia Schmid; Karteek Alahari (CoRR, 2020)

Empirically Verifying Hypotheses Using Reinforcement Learning. - Kenneth Marino; Rob Fergus; Arthur Szlam; Abhinav Gupta 001 (CoRR, 2020)

Implicit Mesh Reconstruction from Unannotated Image Collections. - Shubham Tulsiani; Nilesh Kulkarni; Abhinav Gupta 001 (CoRR, 2020)

A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation. - Bernardo Aceituno-Cabezas; Alberto Rodriguez 003; Shubham Tulsiani; Abhinav Gupta 001; Mustafa Mukadam (CoRL, 2021)

ReSkin: versatile, replaceable, lasting tactile skins. - Raunaq M. Bhirangi; Tess Lee Hellebrekers; Carmel Majidi; Abhinav Gupta 001 (CoRL, 2021)

Robots on Demand: A Democratized Robotics Research Cloud. - Victoria Dean; Yonadav G. Shavit; Abhinav Gupta 001 (CoRL, 2021)

KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA. - Kenneth Marino; Xinlei Chen; Devi Parikh; Abhinav Gupta 001; Marcus Rohrbach (CVPR, 2021)

Shelf-Supervised Mesh Prediction in the Wild. - Yufei Ye; Shubham Tulsiani; Abhinav Gupta 001 (CVPR, 2021)

Learn-to-Race: A Multimodal Control Environment for Autonomous Racing. - James Herman; Jonathan Francis; Siddha Ganju; Bingqing Chen; Anirudh Koul; Abhinav Gupta 001; Alexey Skabelkin; Ivan Zhukov; Max Kumskoy; Eric Nyberg (ICCV, 2021)

The Functional Correspondence Problem. - Zihang Lai; Senthil Purushwalkam; Abhinav Gupta 001 (ICCV, 2021)

Where2Act: From Pixels to Actions for Articulated 3D Objects. - Kaichun Mo; Leonidas J. Guibas; Mustafa Mukadam; Abhinav Gupta 001; Shubham Tulsiani (ICCV, 2021)

Audio-Visual Floorplan Reconstruction. - Senthil Purushwalkam; Sebastià Vicenc Amengual Garí; Vamsi Krishna Ithapu; Carl Schissler; Philip W. Robinson; Abhinav Gupta 001; Kristen Grauman (ICCV, 2021)

Wanderlust: Online Continual Object Detection in the Real World. - Jianren Wang; Xin Wang 066; Yue Shang-Guan; Abhinav Gupta 001 (ICCV, 2021)

Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning. - Valerie Chen; Abhinav Gupta 001; Kenneth Marino (ICLR, 2021)

PixelTransformer: Sample Conditioned Signal Generation. - Shubham Tulsiani; Abhinav Gupta 001 (ICML, 2021)

droidlet: modular, heterogenous, multi-modal agents. - Anurag Pratik; Soumith Chintala; Kavya Srinet; Dhiraj Gandhi; Rebecca Qian; Yuxuan Sun 004; Ryan Drew; Sara Elkafrawy; Anoushka Tiwari; Tucker Hart; Mary Williamson; Abhinav Gupta 001; et al. (ICRA, 2021)

RB2: Robotic Manipulation Benchmarking with a Twist. - Sudeep Dasari; Jianren Wang; Joyce Hong; Shikhar Bahl; Yixin Lin; Austin S. Wang; Abitha Thankaraj; Karanbir Chahal; Berk Çalli; Saurabh Gupta 001; David Held; Lerrel Pinto; et al. (NeurIPS Datasets and Benchmarks, 2021)

No RL, No Simulation: Learning to Navigate without Navigating. - Meera Hahn; Devendra Singh Chaplot; Shubham Tulsiani; Mustafa Mukadam; James M. Rehg; Abhinav Gupta 001 (NeurIPS, 2021)

Interesting Object, Curious Agent: Learning Task-Agnostic Exploration. - Simone Parisi; Victoria Dean; Deepak Pathak; Abhinav Gupta 001 (NeurIPS, 2021)

Hierarchical Neural Dynamic Policies. - Shikhar Bahl; Abhinav Gupta 001; Deepak Pathak (Robotics: Science and Systems, 2021)

Editorial: Introduction to the Special Section on CVPR2019 Best Papers. - Gang Hua 001; Derek Hoiem; Abhinav Gupta 001; Zhuowen Tu (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Self-Activating Neural Ensembles for Continual Reinforcement Learning. - Sam Powers; Eliot Xing; Abhinav Gupta 001 (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 001 (CoLLAs, 2022)

R3M: A Universal Visual Representation for Robot Manipulation. - Suraj Nair 003; Aravind Rajeswaran; Vikash Kumar; Chelsea Finn; Abhinav Gupta 001 (CoRL, 2022)

Pretrain, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction. - Kalyan Vasudev Alwala; Abhinav Gupta 001; Shubham Tulsiani (CVPR, 2022)

What's in your hands? 3D Reconstruction of Generic Objects in Hands. - Yufei Ye; Abhinav Gupta 001; Shubham Tulsiani (CVPR, 2022)

The Challenges of Continuous Self-Supervised Learning. - Senthil Purushwalkam; Pedro Morgado 001; Abhinav Gupta 001 (ECCV (26), 2022)

The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. - Simone Parisi; Aravind Rajeswaran; Senthil Purushwalkam; Abhinav Gupta 001 (ICML, 2022)

Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? - Yuchen Cui; Scott Niekum; Abhinav Gupta 001; Vikash Kumar; Aravind Rajeswaran (L4DC, 2022)

Learning State-Aware Visual Representations from Audible Interactions. - Himangi Mittal; Pedro Morgado 001; Unnat Jain; Abhinav Gupta 001 (NeurIPS, 2022)

Human-to-Robot Imitation in the Wild. - Shikhar Bahl; Abhinav Gupta 001; Deepak Pathak (Robotics: Science and Systems, 2022)

Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction. - Kalyan Vasudev Alwala; Abhinav Gupta 001; Shubham Tulsiani (CoRR, 2022)

All the Feels: A dexterous hand with large area sensing. - Raunaq M. Bhirangi; Abigail DeFranco; Jacob Adkins; Carmel Majidi; Abhinav Gupta 001; Tess Lee Hellebrekers; Vikash Kumar (CoRR, 2022)

Last-Mile Embodied Visual Navigation. - Justin Wasserman; Karmesh Yadav; Girish Chowdhary 001; Abhinav Gupta 001; Unnat Jain (CoRR, 2022)

Evaluating Continual Learning on a Home Robot. - Sam Powers; Abhinav Gupta 001; Chris Paxton 001 (CoLLAs, 2023)

An Unbiased Look at Datasets for Visuo-Motor Pre-Training. - Sudeep Dasari; Mohan Kumar Srirama; Unnat Jain; Abhinav Gupta 001 (CoRL, 2023)

Affordance Diffusion: Synthesizing Hand-Object Interactions. - Yufei Ye; Xueting Li; Abhinav Gupta 001; Shalini De Mello; Stan Birchfield; Jiaming Song; Shubham Tulsiani; Sifei Liu (CVPR, 2023)

Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations. - Jianren Wang; Sudeep Dasari; Mohan Kumar Srirama; Shubham Tulsiani; Abhinav Gupta 001 (ICCV, 2023)

Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips. - Yufei Ye; Poorvi Hebbar; Abhinav Gupta 001; Shubham Tulsiani (ICCV, 2023)

Visual Affordance Prediction for Guiding Robot Exploration. - Homanga Bharadhwaj; Abhinav Gupta 001; Shubham Tulsiani (ICRA, 2023)

Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps. - Sudeep Dasari; Abhinav Gupta 001; Vikash Kumar (ICRA, 2023)

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 001 (ICRA, 2023)

Real World Offline Reinforcement Learning with Realistic Data Source. - Gaoyue Zhou; Liyiming Ke; Siddhartha S. Srinivasa; Abhinav Gupta 001; Aravind Rajeswaran; Vikash Kumar (ICRA, 2023)

DragonClaw: A low-cost pneumatic gripper with integrated magnetic sensing. - Vani Sundaram; Raunaq M. Bhirangi; Mark E. Rentschler; Abhinav Gupta 001; Tess Lee Hellebrekers (RoboSoft, 2023)

Zero-Shot Robot Manipulation from Passive Human Videos. - Homanga Bharadhwaj; Abhinav Gupta 001; Shubham Tulsiani; Vikash Kumar (CoRR, 2023)

Guest Editorial: Introduction to the Special Section on Graphs in Vision and Pattern Analysis. - Song Bai 001; Philip H. S. Torr; Ranjay Krishna; Li Fei-Fei 001; Abhinav Gupta 001; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

All the Feels: A Dexterous Hand With Large-Area Tactile Sensing. - Raunaq M. Bhirangi; Abigail DeFranco; Jacob Adkins; Carmel Majidi; Abhinav Gupta 001; Tess Lee Hellebrekers; Vikash Kumar (IEEE Robotics Autom. Lett., 2023)

G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis. - Yufei Ye; Abhinav Gupta 001; Kris Kitani; Shubham Tulsiani (CVPR, 2024)

Track2Act: Predicting Point Tracks from Internet Videos Enables Generalizable Robot Manipulation. - Homanga Bharadhwaj; Roozbeh Mottaghi; Abhinav Gupta 001; Shubham Tulsiani (ECCV (76), 2024)

Towards Latent Masked Image Modeling for Self-supervised Visual Representation Learning. - Yibing Wei; Abhinav Gupta 001; Pedro Morgado 001 (ECCV (39), 2024)

Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling. - Raunaq M. Bhirangi; Chenyu Wang; Venkatesh Pattabiraman; Carmel Majidi; Abhinav Gupta 001; Tess Lee Hellebrekers; Lerrel Pinto (ICML, 2024)

Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. - Homanga Bharadhwaj; Abhinav Gupta 001; Vikash Kumar; Shubham Tulsiani (ICRA, 2024)

RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking. - Homanga Bharadhwaj; Jay Vakil; Mohit Sharma; Abhinav Gupta 001; Shubham Tulsiani; Vikash Kumar (ICRA, 2024)

Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation. - Jared Mejia; Victoria Dean; Tess Lee Hellebrekers; Abhinav Gupta 001 (ICRA, 2024)

Exploitation-Guided Exploration for Semantic Embodied Navigation. - Justin Wasserman; Girish Chowdhary 001; Abhinav Gupta 001; Unnat Jain (ICRA, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

HRP: Human affordances for Robotic Pre-training. - Mohan Kumar Srirama; Sudeep Dasari; Shikhar Bahl; Abhinav Gupta 001 (Robotics: Science and Systems, 2024)

Track2Act: Predicting Point Tracks from Internet Videos enables Diverse Zero-shot Robot Manipulation. - Homanga Bharadhwaj; Roozbeh Mottaghi; Abhinav Gupta 001; Shubham Tulsiani (CoRR, 2024)

1 Modular Parallel Manipulator for Long-Term Soft Robotic Data Collection. - Kiyn Chin; Carmel Majidi; Abhinav Gupta 001 (CoRR, 2024)

Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation. - Homanga Bharadhwaj; Debidatta Dwibedi; Abhinav Gupta 001; Shubham Tulsiani; Carl Doersch; Ted Xiao; Dhruv Shah; Fei Xia 002; Dorsa Sadigh; Sean Kirmani (CoRR, 2024)

HandsOnVLM: Vision-Language Models for Hand-Object Interaction Prediction. - Chen Bao; Jiarui Xu; Xiaolong Wang 004; Abhinav Gupta 001; Homanga Bharadhwaj (CoRR, 2024)

Evolutionary Policy Optimization. - Jianren Wang; Yifan Su; Abhinav Gupta 001; Deepak Pathak (CoRR, 2025)