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Abhinav Gupta
Abhinav Gupta
Associate Professor, Robotics Institute, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Non-local neural networks
X Wang, R Girshick, A Gupta, K He
Proceedings of the IEEE conference on computer vision and pattern …, 2018
68272018
Unsupervised visual representation learning by context prediction
C Doersch, A Gupta, AA Efros
Proceedings of the IEEE international conference on computer vision, 1422-1430, 2015
22742015
Training region-based object detectors with online hard example mining
A Shrivastava, A Gupta, R Girshick
Proceedings of the IEEE conference on computer vision and pattern …, 2016
21232016
The visual object tracking vot2015 challenge results
M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ...
Proceedings of the IEEE international conference on computer vision …, 2015
19462015
Revisiting unreasonable effectiveness of data in deep learning era
C Sun, A Shrivastava, S Singh, A Gupta
Proceedings of the IEEE international conference on computer vision, 843-852, 2017
18242017
Target-driven visual navigation in indoor scenes using deep reinforcement learning
Y Zhu, R Mottaghi, E Kolve, JJ Lim, A Gupta, L Fei-Fei, A Farhadi
2017 IEEE international conference on robotics and automation (ICRA), 3357-3364, 2017
13832017
Unsupervised learning of visual representations using videos
X Wang, A Gupta
Proceedings of the IEEE international conference on computer vision, 2794-2802, 2015
11132015
Ensemble of exemplar-svms for object detection and beyond
T Malisiewicz, A Gupta, AA Efros
2011 International conference on computer vision, 89-96, 2011
11022011
Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours
L Pinto, A Gupta
2016 IEEE international conference on robotics and automation (ICRA), 3406-3413, 2016
10492016
Never-ending learning
T Mitchell, W Cohen, E Hruschka, P Talukdar, B Yang, J Betteridge, ...
Communications of the ACM 61 (5), 103-115, 2018
10402018
Cross-stitch networks for multi-task learning
I Misra, A Shrivastava, A Gupta, M Hebert
Proceedings of the IEEE conference on computer vision and pattern …, 2016
10232016
Hollywood in homes: Crowdsourcing data collection for activity understanding
GA Sigurdsson, G Varol, X Wang, A Farhadi, I Laptev, A Gupta
European Conference on Computer Vision, 510-526, 2016
9112016
Unsupervised discovery of mid-level discriminative patches
S Singh, A Gupta, AA Efros
European Conference on Computer Vision, 73-86, 2012
7302012
What makes paris look like paris?
C Doersch, S Singh, A Gupta, J Sivic, A Efros
ACM Transactions on Graphics 31 (4), 2012
7242012
Videos as space-time region graphs
X Wang, A Gupta
Proceedings of the European conference on computer vision (ECCV), 399-417, 2018
6492018
Learning a predictable and generative vector representation for objects
R Girdhar, DF Fouhey, M Rodriguez, A Gupta
European Conference on Computer Vision, 484-499, 2016
6452016
Generative image modeling using style and structure adversarial networks
X Wang, A Gupta
European conference on computer vision, 318-335, 2016
6262016
Robust adversarial reinforcement learning
L Pinto, J Davidson, R Sukthankar, A Gupta
International Conference on Machine Learning, 2817-2826, 2017
6212017
Observing human-object interactions: Using spatial and functional compatibility for recognition
A Gupta, A Kembhavi, LS Davis
IEEE transactions on pattern analysis and machine intelligence 31 (10), 1775 …, 2009
6162009
Openimages: A public dataset for large-scale multi-label and multi-class image classification
I Krasin, T Duerig, N Alldrin, V Ferrari, S Abu-El-Haija, A Kuznetsova, ...
Dataset available from https://github. com/openimages 2 (3), 18, 2017
5922017
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