Sudheendra Vijayanarasimhan

39 papers A* 12Misc 1Journal 17Unranked 9

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Distribution Aware Metrics for Conditional Natural Language Generation. LREC/COLING David M. Chan, Yiming Ni, David A. Ross, Sudheendra Vijayanarasimhan, Austin Myers, John F. Canny
2023	J	`jnl`	IC CoRR David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny
2023	A*	`conf`	IC3: Image Captioning by Committee Consensus. EMNLP David Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny
2022	J	`jnl`	Distribution Aware Metrics for Conditional Natural Language Generation. CoRR David M. Chan, Yiming Ni, David A. Ross, Sudheendra Vijayanarasimhan, Austin Myers, John F. Canny
2022	J	`jnl`	Open-Vocabulary Temporal Action Detection with Off-the-Shelf Image-Text Features. CoRR Vivek Rathod, Bryan Seybold, Sudheendra Vijayanarasimhan, Austin Myers, Xiuye Gu, Vighnesh Birodkar, David A. Ross
2022	—	`conf`	What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics. CVPR Workshops David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, Bryan Seybold, John F. Canny
2022	J	`jnl`	What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics. CoRR David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, Bryan Seybold, John F. Canny
2020	J	`jnl`	Active Learning for Video Description With Cluster-Regularized Ensemble Ranking. CoRR David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny
2020	—	`conf`	Active Learning for Video Description with Cluster-Regularized Ensemble Ranking. ACCV (5) David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny
2018	A*	`conf`	AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions. CVPR 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
2018	A*	`conf`	Rethinking the Faster R-CNN Architecture for Temporal Action Localization. CVPR Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar
2018	J	`jnl`	Rethinking the Faster R-CNN Architecture for Temporal Action Localization. CoRR Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar
2017	J	`jnl`	AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions. CoRR Chunhui Gu, Chen Sun, Sudheendra Vijayanarasimhan, Caroline Pantofaru, David A. Ross, George Toderici, Yeqing Li, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik
2017	Misc	`conf`	End-to-End Learning of Semantic Grasping. CoRL Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine
2017	J	`jnl`	End-to-End Learning of Semantic Grasping. CoRR Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine
2017	J	`jnl`	Motion Prediction Under Multimodality with Conditional Stochastic Networks. CoRR Katerina Fragkiadaki, Jonathan Huang, Alex Alemi, Sudheendra Vijayanarasimhan, Susanna Ricco, Rahul Sukthankar
2017	J	`jnl`	SfM-Net: Learning of Structure and Motion from Video. CoRR Sudheendra Vijayanarasimhan, Susanna Ricco, Cordelia Schmid, Rahul Sukthankar, Katerina Fragkiadaki
2017	J	`jnl`	The Kinetics Human Action Video Dataset. CoRR Will Kay, João Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, Mustafa Suleyman, Andrew Zisserman
2016	J	`jnl`	YouTube-8M: A Large-Scale Video Classification Benchmark. CoRR Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Paul Natsev, George Toderici, Balakrishnan Varadarajan, Sudheendra Vijayanarasimhan
2015	J	`jnl`	Beyond Short Snippets: Deep Networks for Video Classification. CoRR Joe Yue-Hei Ng, Matthew J. Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, George Toderici
2015	A*	`conf`	Beyond short snippets: Deep networks for video classification. CVPR Joe Yue-Hei Ng, Matthew J. Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, George Toderici
2015	—	`conf`	Deep Networks With Large Output Spaces. ICLR (Workshop) Sudheendra Vijayanarasimhan, Jonathon Shlens, Rajat Monga, Jay Yagnik
2015	J	`jnl`	Efficient Large Scale Video Classification. CoRR Balakrishnan Varadarajan, George Toderici, Sudheendra Vijayanarasimhan, Apostol Natsev
2014	J	`jnl`	Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning. IEEE Trans. Pattern Anal. Mach. Intell. Sudheendra Vijayanarasimhan, Prateek Jain, Kristen Grauman
2014	J	`jnl`	Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds. Int. J. Comput. Vis. Sudheendra Vijayanarasimhan, Kristen Grauman
2013	A*	`conf`	Fast, Accurate Detection of 100, 000 Object Classes on a Single Machine. CVPR Thomas L. Dean, Mark A. Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik
2012	—	`conf`	Active Frame Selection for Label Propagation in Videos. ECCV (5) Sudheendra Vijayanarasimhan, Kristen Grauman
2012	—	`conf`	Weakly Supervised Learning of Object Segmentations from Web-Scale Video. ECCV Workshops (1) Glenn Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra, Omid Madani, Sudheendra Vijayanarasimhan, Irfan A. Essa, James M. Rehg, Rahul Sukthankar
2011	A*	`conf`	Actively selecting annotations among objects and attributes. ICCV Adriana Kovashka, Sudheendra Vijayanarasimhan, Kristen Grauman
2011	J	`jnl`	Cost-Sensitive Active Visual Category Learning. Int. J. Comput. Vis. Sudheendra Vijayanarasimhan, Kristen Grauman
2011	A*	`conf`	Efficient region search for object detection. CVPR Sudheendra Vijayanarasimhan, Kristen Grauman
2011	A*	`conf`	Large-scale live active learning: Training object detectors with crawled data and crowds. CVPR Sudheendra Vijayanarasimhan, Kristen Grauman
2010	A*	`conf`	Far-sighted active learning on a budget for image and video recognition. CVPR Sudheendra Vijayanarasimhan, Prateek Jain, Kristen Grauman
2010	—	`conf`	Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning. NIPS Prateek Jain, Sudheendra Vijayanarasimhan, Kristen Grauman
2010	—	`conf`	Top-down pairwise potentials for piecing together multi-class segmentation puzzles. CVPR Workshops Sudheendra Vijayanarasimhan, Kristen Grauman
2010	A*	`conf`	Visual recognition and detection under bounded computational resources. CVPR Sudheendra Vijayanarasimhan, Ashish Kapoor
2009	A*	`conf`	What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations. CVPR Sudheendra Vijayanarasimhan, Kristen Grauman
2008	A*	`conf`	Keywords to visual categories: Multiple-instance learning forweakly supervised object categorization. CVPR Sudheendra Vijayanarasimhan, Kristen Grauman
2008	—	`conf`	Multi-Level Active Prediction of Useful Image Annotations for Recognition. NIPS Sudheendra Vijayanarasimhan, Kristen Grauman