Sudheendra Vijayanarasimhan

According to our database, Sudheendra Vijayanarasimhan authored at least 31 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

IC³: Image Captioning by Committee Consensus.

David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny

CoRR, 2023

IC3: Image Captioning by Committee Consensus.

David Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Open-Vocabulary Temporal Action Detection with Off-the-Shelf Image-Text Features.

Vivek Rathod, Bryan Seybold, Sudheendra Vijayanarasimhan, Austin Myers, Xiuye Gu, Vighnesh Birodkar, David A. Ross

CoRR, 2022

Distribution Aware Metrics for Conditional Natural Language Generation.

David M. Chan, Yiming Ni, David A. Ross, Sudheendra Vijayanarasimhan, Austin Myers, John F. Canny

CoRR, 2022

What's in a Caption? Dataset-Specific Linguistic Diversity and Its Effect on Visual Description Models and Metrics.

David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, Bryan Seybold, John F. Canny

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2020

Active Learning for Video Description with Cluster-Regularized Ensemble Ranking.

David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2018

AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Rethinking the Faster R-CNN Architecture for Temporal Action Localization.

Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

SfM-Net: Learning of Structure and Motion from Video.

Sudheendra Vijayanarasimhan, Susanna Ricco, Cordelia Schmid, Rahul Sukthankar, Katerina Fragkiadaki

CoRR, 2017

The Kinetics Human Action Video Dataset.

Will Kay, João Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, Mustafa Suleyman, Andrew Zisserman

CoRR, 2017

AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions.

Chunhui Gu, Chen Sun, Sudheendra Vijayanarasimhan, Caroline Pantofaru, David A. Ross, George Toderici, Yeqing Li, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik

CoRR, 2017

Motion Prediction Under Multimodality with Conditional Stochastic Networks.

Katerina Fragkiadaki, Jonathan Huang, Alex Alemi, Sudheendra Vijayanarasimhan, Susanna Ricco, Rahul Sukthankar

CoRR, 2017

End-to-End Learning of Semantic Grasping.

Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

YouTube-8M: A Large-Scale Video Classification Benchmark.

Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Paul Natsev, George Toderici, Balakrishnan Varadarajan, Sudheendra Vijayanarasimhan

CoRR, 2016

2015

Deep Networks With Large Output Spaces.

Sudheendra Vijayanarasimhan, Jonathon Shlens, Rajat Monga, Jay Yagnik

Proceedings of the 3rd International Conference on Learning Representations, 2015

Efficient Large Scale Video Classification.

Balakrishnan Varadarajan, George Toderici, Sudheendra Vijayanarasimhan, Apostol Natsev

CoRR, 2015

Beyond short snippets: Deep networks for video classification.

Joe Yue-Hei Ng, Matthew J. Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, George Toderici

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning.

Sudheendra Vijayanarasimhan, Prateek Jain, Kristen Grauman

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds.

Sudheendra Vijayanarasimhan, Kristen Grauman

Int. J. Comput. Vis., 2014

2013

Fast, Accurate Detection of 100, 000 Object Classes on a Single Machine.

Thomas L. Dean, Mark A. Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Active Frame Selection for Label Propagation in Videos.

Sudheendra Vijayanarasimhan, Kristen Grauman

Proceedings of the Computer Vision - ECCV 2012, 2012

Weakly Supervised Learning of Object Segmentations from Web-Scale Video.

Glenn Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra, Omid Madani, Sudheendra Vijayanarasimhan, Irfan A. Essa, James M. Rehg, Rahul Sukthankar

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

2011

Cost-Sensitive Active Visual Category Learning.

Sudheendra Vijayanarasimhan, Kristen Grauman

Int. J. Comput. Vis., 2011

Actively selecting annotations among objects and attributes.

Adriana Kovashka, Sudheendra Vijayanarasimhan, Kristen Grauman

Proceedings of the IEEE International Conference on Computer Vision, 2011

Efficient region search for object detection.

Sudheendra Vijayanarasimhan, Kristen Grauman

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Visual recognition and detection under bounded computational resources.

Sudheendra Vijayanarasimhan, Ashish Kapoor

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Far-sighted active learning on a budget for image and video recognition.

Sudheendra Vijayanarasimhan, Prateek Jain, Kristen Grauman

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Top-down pairwise potentials for piecing together multi-class segmentation puzzles.

Sudheendra Vijayanarasimhan, Kristen Grauman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations.

Sudheendra Vijayanarasimhan, Kristen Grauman

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Multi-Level Active Prediction of Useful Image Annotations for Recognition.

Sudheendra Vijayanarasimhan, Kristen Grauman

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Keywords to visual categories: Multiple-instance learning forweakly supervised object categorization.

Sudheendra Vijayanarasimhan, Kristen Grauman

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008