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ORCIDSudheendra Vijayanarasimhan
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2020 – today
- 2024
[c22]David M. Chan, Yiming Ni, David A. Ross, Sudheendra Vijayanarasimhan, Austin Myers, John F. Canny:
Distribution Aware Metrics for Conditional Natural Language Generation. LREC/COLING 2024: 5064-5095- 2023
- [c21]David Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny:
IC3: Image Captioning by Committee Consensus. EMNLP 2023: 8975-9003 - [i14]David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny:
IC3: Image Captioning by Committee Consensus. CoRR abs/2302.01328 (2023) - 2022
- [c20]David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, Bryan Seybold, John F. Canny:
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics. CVPR Workshops 2022: 4739-4748 - [i13]David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, Bryan Seybold, John F. Canny:
What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics. CoRR abs/2205.06253 (2022) - [i12]David M. Chan, Yiming Ni, David A. Ross, Sudheendra Vijayanarasimhan, Austin Myers, John F. Canny:
Distribution Aware Metrics for Conditional Natural Language Generation. CoRR abs/2209.07518 (2022) - [i11]Vivek Rathod, Bryan Seybold, Sudheendra Vijayanarasimhan, Austin Myers, Xiuye Gu, Vighnesh Birodkar, David A. Ross:
Open-Vocabulary Temporal Action Detection with Off-the-Shelf Image-Text Features. CoRR abs/2212.10596 (2022) - 2020
- [c19]David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny:
Active Learning for Video Description with Cluster-Regularized Ensemble Ranking. ACCV (5) 2020: 443-459 - [i10]David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny:
Active Learning for Video Description With Cluster-Regularized Ensemble Ranking. CoRR abs/2007.13913 (2020)
2010 – 2019
- 2018
- [c18]Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar:
Rethinking the Faster R-CNN Architecture for Temporal Action Localization. CVPR 2018: 1130-1139 - [c17]Chunhui Gu, Chen Sun, David A. Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik:
AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions. CVPR 2018: 6047-6056 - [i9]Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar:
Rethinking the Faster R-CNN Architecture for Temporal Action Localization. CoRR abs/1804.07667 (2018) - 2017
- [c16]Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine:
End-to-End Learning of Semantic Grasping. CoRL 2017: 119-132 - [i8]Sudheendra Vijayanarasimhan, Susanna Ricco, Cordelia Schmid, Rahul Sukthankar, Katerina Fragkiadaki:
SfM-Net: Learning of Structure and Motion from Video. CoRR abs/1704.07804 (2017) - [i7]Katerina Fragkiadaki, Jonathan Huang, Alex Alemi, Sudheendra Vijayanarasimhan, Susanna Ricco, Rahul Sukthankar:
Motion Prediction Under Multimodality with Conditional Stochastic Networks. CoRR abs/1705.02082 (2017) - [i6]Will Kay, João Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green
, Trevor Back, Paul Natsev, Mustafa Suleyman, Andrew Zisserman:
The Kinetics Human Action Video Dataset. CoRR abs/1705.06950 (2017) - [i5]Chunhui Gu, Chen Sun, Sudheendra Vijayanarasimhan, Caroline Pantofaru, David A. Ross, George Toderici, Yeqing Li, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik:
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions. CoRR abs/1705.08421 (2017) - [i4]Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine:
End-to-End Learning of Semantic Grasping. CoRR abs/1707.01932 (2017) - 2016
- [i3]Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Paul Natsev, George Toderici, Balakrishnan Varadarajan, Sudheendra Vijayanarasimhan:
YouTube-8M: A Large-Scale Video Classification Benchmark. CoRR abs/1609.08675 (2016) - 2015
- [c15]Joe Yue-Hei Ng, Matthew J. Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, George Toderici:
Beyond short snippets: Deep networks for video classification. CVPR 2015: 4694-4702 - [c14]Sudheendra Vijayanarasimhan, Jonathon Shlens, Rajat Monga, Jay Yagnik:
Deep Networks With Large Output Spaces. ICLR (Workshop) 2015 - [i2]Joe Yue-Hei Ng, Matthew J. Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, George Toderici:
Beyond Short Snippets: Deep Networks for Video Classification. CoRR abs/1503.08909 (2015) - [i1]Balakrishnan Varadarajan, George Toderici, Sudheendra Vijayanarasimhan, Apostol Natsev:
Efficient Large Scale Video Classification. CoRR abs/1505.06250 (2015) - 2014
- [j3]Sudheendra Vijayanarasimhan, Kristen Grauman:
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds. Int. J. Comput. Vis. 108(1-2): 97-114 (2014) - [j2]Sudheendra Vijayanarasimhan, Prateek Jain, Kristen Grauman:
Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning. IEEE Trans. Pattern Anal. Mach. Intell. 36(2): 276-288 (2014) - 2013
- [c13]Thomas L. Dean, Mark A. Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik:
Fast, Accurate Detection of 100, 000 Object Classes on a Single Machine. CVPR 2013: 1814-1821 - 2012
- [c12]Glenn Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra, Omid Madani, Sudheendra Vijayanarasimhan, Irfan A. Essa, James M. Rehg, Rahul Sukthankar:
Weakly Supervised Learning of Object Segmentations from Web-Scale Video. ECCV Workshops (1) 2012: 198-208 - [c11]Sudheendra Vijayanarasimhan, Kristen Grauman:
Active Frame Selection for Label Propagation in Videos. ECCV (5) 2012: 496-509 - 2011
- [j1]Sudheendra Vijayanarasimhan, Kristen Grauman:
Cost-Sensitive Active Visual Category Learning. Int. J. Comput. Vis. 91(1): 24-44 (2011) - [c10]Sudheendra Vijayanarasimhan, Kristen Grauman:
Efficient region search for object detection. CVPR 2011: 1401-1408 - [c9]Sudheendra Vijayanarasimhan, Kristen Grauman:
Large-scale live active learning: Training object detectors with crawled data and crowds. CVPR 2011: 1449-1456 - [c8]Adriana Kovashka, Sudheendra Vijayanarasimhan, Kristen Grauman:
Actively selecting annotations among objects and attributes. ICCV 2011: 1403-1410 - 2010
- [c7]Sudheendra Vijayanarasimhan, Kristen Grauman:
Top-down pairwise potentials for piecing together multi-class segmentation puzzles. CVPR Workshops 2010: 25-32 - [c6]Sudheendra Vijayanarasimhan, Ashish Kapoor:
Visual recognition and detection under bounded computational resources. CVPR 2010: 1006-1013 - [c5]Sudheendra Vijayanarasimhan, Prateek Jain, Kristen Grauman:
Far-sighted active learning on a budget for image and video recognition. CVPR 2010: 3035-3042 - [c4]Prateek Jain, Sudheendra Vijayanarasimhan, Kristen Grauman:
Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning. NIPS 2010: 928-936
2000 – 2009
- 2009
- [c3]Sudheendra Vijayanarasimhan, Kristen Grauman:
What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations. CVPR 2009: 2262-2269 - 2008
- [c2]Sudheendra Vijayanarasimhan, Kristen Grauman:
Keywords to visual categories: Multiple-instance learning forweakly supervised object categorization. CVPR 2008 - [c1]Sudheendra Vijayanarasimhan, Kristen Grauman:
Multi-Level Active Prediction of Useful Image Annotations for Recognition. NIPS 2008: 1705-1712
Coauthor Index
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