Sudheendra Vijayanarasimhan

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 19

Top Topics

Action Detection

Video Classification

Spatio Temporally

Active Learning

Top Venues

Publications

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)
David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny
: Image Captioning by Committee Consensus. CoRR (2023)
David Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny
IC3: Image Captioning by Committee Consensus. EMNLP (2023)
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)
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 (2022)
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 (2022)
David M. Chan, Yiming Ni, David A. Ross, Sudheendra Vijayanarasimhan, Austin Myers, John F. Canny
Distribution Aware Metrics for Conditional Natural Language Generation. CoRR (2022)
David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny
Active Learning for Video Description with Cluster-Regularized Ensemble Ranking. ACCV (5) (2020)
David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny
Active Learning for Video Description With Cluster-Regularized Ensemble Ranking. CoRR (2020)
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)
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)
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 (2018)
Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine
End-to-End Learning of Semantic Grasping. CoRL (2017)
Katerina Fragkiadaki, Jonathan Huang, Alex Alemi, Sudheendra Vijayanarasimhan, Susanna Ricco, Rahul Sukthankar
Motion Prediction Under Multimodality with Conditional Stochastic Networks. CoRR (2017)
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 (2017)
Sudheendra Vijayanarasimhan, Susanna Ricco, Cordelia Schmid, Rahul Sukthankar, Katerina Fragkiadaki
SfM-Net: Learning of Structure and Motion from Video. CoRR (2017)
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 (2017)
Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine
End-to-End Learning of Semantic Grasping. CoRR (2017)
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 (2016)
Sudheendra Vijayanarasimhan, Jonathon Shlens, Rajat Monga, Jay Yagnik
Deep Networks With Large Output Spaces. ICLR (Workshop) (2015)
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)
Joe Yue-Hei Ng, Matthew J. Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, George Toderici
Beyond Short Snippets: Deep Networks for Video Classification. CoRR (2015)
Balakrishnan Varadarajan, George Toderici, Sudheendra Vijayanarasimhan, Apostol Natsev
Efficient Large Scale Video Classification. CoRR (2015)
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) (2014)
Sudheendra Vijayanarasimhan, Kristen Grauman
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds. Int. J. Comput. Vis. 108 (1-2) (2014)
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)
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)
Sudheendra Vijayanarasimhan, Kristen Grauman
Active Frame Selection for Label Propagation in Videos. ECCV (5) (2012)
Sudheendra Vijayanarasimhan, Kristen Grauman
Cost-Sensitive Active Visual Category Learning. Int. J. Comput. Vis. 91 (1) (2011)
Sudheendra Vijayanarasimhan, Kristen Grauman
Efficient region search for object detection. CVPR (2011)
Sudheendra Vijayanarasimhan, Kristen Grauman
Large-scale live active learning: Training object detectors with crawled data and crowds. CVPR (2011)
Adriana Kovashka, Sudheendra Vijayanarasimhan, Kristen Grauman
Actively selecting annotations among objects and attributes. ICCV (2011)
Sudheendra Vijayanarasimhan, Prateek Jain, Kristen Grauman
Far-sighted active learning on a budget for image and video recognition. CVPR (2010)
Sudheendra Vijayanarasimhan, Ashish Kapoor
Visual recognition and detection under bounded computational resources. CVPR (2010)
Prateek Jain, Sudheendra Vijayanarasimhan, Kristen Grauman
Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning. NIPS (2010)
Sudheendra Vijayanarasimhan, Kristen Grauman
Top-down pairwise potentials for piecing together multi-class segmentation puzzles. CVPR Workshops (2010)
Sudheendra Vijayanarasimhan, Kristen Grauman
What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations. CVPR (2009)
Sudheendra Vijayanarasimhan, Kristen Grauman
Keywords to visual categories: Multiple-instance learning forweakly supervised object categorization. CVPR (2008)
Sudheendra Vijayanarasimhan, Kristen Grauman
Multi-Level Active Prediction of Useful Image Annotations for Recognition. NIPS (2008)