Sudheendra Vijayanarasimhan
Sudheendra Vijayanarasimhan
Google Inc.
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Cited by
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Beyond short snippets: Deep networks for video classification
J Yue-Hei Ng, M Hausknecht, S Vijayanarasimhan, O Vinyals, R Monga, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2015
The kinetics human action video dataset
W Kay, J Carreira, K Simonyan, B Zhang, C Hillier, S Vijayanarasimhan, ...
arXiv preprint arXiv:1705.06950, 2017
Youtube-8m: A large-scale video classification benchmark
S Abu-El-Haija, N Kothari, J Lee, P Natsev, G Toderici, B Varadarajan, ...
arXiv preprint arXiv:1609.08675, 2016
Ava: A video dataset of spatio-temporally localized atomic visual actions
C Gu, C Sun, DA Ross, C Vondrick, C Pantofaru, Y Li, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Fast, accurate detection of 100,000 object classes on a single machine
T Dean, MA Ruzon, M Segal, J Shlens, S Vijayanarasimhan, J Yagnik
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
Rethinking the faster r-cnn architecture for temporal action localization
YW Chao, S Vijayanarasimhan, B Seybold, DA Ross, J Deng, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Large-scale live active learning: Training object detectors with crawled data and crowds
S Vijayanarasimhan, K Grauman
International journal of computer vision 108 (1), 97-114, 2014
Sfm-net: Learning of structure and motion from video
S Vijayanarasimhan, S Ricco, C Schmid, R Sukthankar, K Fragkiadaki
arXiv preprint arXiv:1704.07804, 2017
What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations
S Vijayanarasimhan, K Grauman
2009 IEEE conference on computer vision and pattern recognition, 2262-2269, 2009
Keywords to visual categories: Multiple-instance learning forweakly supervised object categorization
S Vijayanarasimhan, K Grauman
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
Active frame selection for label propagation in videos
S Vijayanarasimhan, K Grauman
European conference on computer vision, 496-509, 2012
Far-sighted active learning on a budget for image and video recognition
S Vijayanarasimhan, P Jain, K Grauman
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
Hashing hyperplane queries to near points with applications to large-scale active learning
P Jain, S Vijayanarasimhan, K Grauman
Advances in Neural Information Processing Systems 23, 928-936, 2010
Actively selecting annotations among objects and attributes
A Kovashka, S Vijayanarasimhan, K Grauman
2011 International Conference on Computer Vision, 1403-1410, 2011
Efficient region search for object detection
S Vijayanarasimhan, K Grauman
CVPR 2011, 1401-1408, 2011
Multi-level active prediction of useful image annotations for recognition
S Vijayanarasimhan, K Grauman
Computer Science Department, University of Texas at Austin, 2008
Weakly supervised learning of object segmentations from web-scale video
G Hartmann, M Grundmann, J Hoffman, D Tsai, V Kwatra, O Madani, ...
European Conference on Computer Vision, 198-208, 2012
End-to-end learning of semantic grasping
E Jang, S Vijayanarasimhan, P Pastor, J Ibarz, S Levine
arXiv preprint arXiv:1707.01932, 2017
Deep networks with large output spaces
S Vijayanarasimhan, J Shlens, R Monga, J Yagnik
arXiv preprint arXiv:1412.7479, 2014
Cost-sensitive active visual category learning
S Vijayanarasimhan, K Grauman
International Journal of Computer Vision 91 (1), 24-44, 2011
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