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ORCIDAbhinav Gupta 0001
Person information
- 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.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3646-2421")
— New York University, NY, USA (and 2 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
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2020 – today
- 2020
[c119]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- [c118]Nilesh Kulkarni, Abhinav Gupta, David F. Fouhey, Shubham Tulsiani:
Articulation-Aware Canonical Surface Mapping. CVPR 2020: 449-458 - [c117]Xueting Yan, Ishan Misra, Abhinav Gupta, Deepti Ghadiyaram, Dhruv Mahajan:
ClusterFit: Improving Generalization of Visual Representations. CVPR 2020: 6508-6517 - [c116]Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta, Saurabh Gupta:
Neural Topological SLAM for Visual Navigation. CVPR 2020: 12872-12881 - [c115]Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, Ruslan Salakhutdinov:
Learning To Explore Using Active Neural SLAM. ICLR 2020 - [c114]Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta:
Intrinsic Motivation for Encouraging Synergistic Behavior. ICLR 2020 - [c113]Qian Long, Zihan Zhou, Abhinav Gupta, Fei Fang, Yi Wu, Xiaolong Wang:
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning. ICLR 2020 - [c112]Tanmay Shankar, Shubham Tulsiani, Lerrel Pinto, Abhinav Gupta:
Discovering Motor Programs by Recomposing Demonstrations. ICLR 2020 - [c111]William F. Whitney, Rajat Agarwal, Kyunghyun Cho, Abhinav Gupta:
Dynamics-Aware Embeddings. ICLR 2020 - [c110]Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta:
Efficient Bimanual Manipulation Using Learned Task Schemas. ICRA 2020: 1149-1155 - [i97]Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta, Abhinav Gupta:
Intrinsic Motivation for Encouraging Synergistic Behavior. CoRR abs/2002.05189 (2020) - [i96]Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Karteek Alahari:
Beyond the Camera: Neural Networks in World Coordinates. CoRR abs/2003.05614 (2020) - [i95]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) - [i94]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) - [i93]Nilesh Kulkarni, Abhinav Gupta, David F. Fouhey, Shubham Tulsiani:
Articulation-aware Canonical Surface Mapping. CoRR abs/2004.00614 (2020) - [i92]Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, Ruslan Salakhutdinov:
Learning to Explore using Active Neural SLAM. CoRR abs/2004.05155 (2020) - [i91]Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta, Saurabh Gupta:
Neural Topological SLAM for Visual Navigation. CoRR abs/2005.12256 (2020) - [i90]Devendra Singh Chaplot, Helen Jiang, Saurabh Gupta, Abhinav Gupta:
Semantic Curiosity for Active Visual Learning. CoRR abs/2006.09367 (2020) - [i89]Kenneth Marino, Rob Fergus, Arthur Szlam, Abhinav Gupta:
Empirically Verifying Hypotheses Using Reinforcement Learning. CoRR abs/2006.15762 (2020) - [i88]Tanmay Shankar, Abhinav Gupta:
Learning Robot Skills with Temporal Variational Inference. CoRR abs/2006.16232 (2020) - [i87]Devendra Singh Chaplot, Dhiraj Gandhi, Abhinav Gupta, Ruslan Salakhutdinov:
Object Goal Navigation using Goal-Oriented Semantic Exploration. CoRR abs/2007.00643 (2020) - [i86]Dhiraj Gandhi, Abhinav Gupta, Lerrel Pinto:
Swoosh! Rattle! Thump! - Actions that Sound. CoRR abs/2007.01851 (2020) - [i85]Victoria Dean, Shubham Tulsiani, Abhinav Gupta:
See, Hear, Explore: Curiosity via Audio-Visual Association. CoRR abs/2007.03669 (2020) - [i84]Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta:
Aligning Videos in Space and Time. CoRR abs/2007.04515 (2020) - [i83]Shubham Tulsiani, Nilesh Kulkarni, Abhinav Gupta:
Implicit Mesh Reconstruction from Unannotated Image Collections. CoRR abs/2007.08504 (2020) - [i82]Senthil Purushwalkam, Abhinav Gupta:
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases. CoRR abs/2007.13916 (2020) - [i81]Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, Lerrel Pinto:
Visual Imitation Made Easy. CoRR abs/2008.04899 (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