Keywords to visual categories: Multiple-instance learning forweakly supervised object categorization. - Sudheendra Vijayanarasimhan; Kristen Grauman (CVPR, 2008)

Multi-Level Active Prediction of Useful Image Annotations for Recognition. - Sudheendra Vijayanarasimhan; Kristen Grauman (NIPS, 2008)

What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations. - Sudheendra Vijayanarasimhan; Kristen Grauman (CVPR, 2009)

Top-down pairwise potentials for piecing together multi-class segmentation puzzles. - Sudheendra Vijayanarasimhan; Kristen Grauman (CVPR Workshops, 2010)

Far-sighted active learning on a budget for image and video recognition. - Sudheendra Vijayanarasimhan; Prateek Jain 002; Kristen Grauman (CVPR, 2010)

Visual recognition and detection under bounded computational resources. - Sudheendra Vijayanarasimhan; Ashish Kapoor (CVPR, 2010)

Efficient region search for object detection. - Sudheendra Vijayanarasimhan; Kristen Grauman (CVPR, 2011)

Actively selecting annotations among objects and attributes. - Adriana Kovashka; Sudheendra Vijayanarasimhan; Kristen Grauman (ICCV, 2011)

Cost-Sensitive Active Visual Category Learning. - Sudheendra Vijayanarasimhan; Kristen Grauman (Int. J. Comput. Vis., 2011)

Weakly Supervised Learning of Object Segmentations from Web-Scale Video. - Glenn Hartmann; Matthias Grundmann; Judy Hoffman; David Tsai 002; Vivek Kwatra; Omid Madani; Sudheendra Vijayanarasimhan; Irfan A. Essa; James M. Rehg; Rahul Sukthankar (ECCV Workshops (1), 2012)

Active Frame Selection for Label Propagation in Videos. - Sudheendra Vijayanarasimhan; Kristen Grauman (ECCV (5), 2012)

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 (CVPR, 2013)

Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds. - Sudheendra Vijayanarasimhan; Kristen Grauman (Int. J. Comput. Vis., 2014)

Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning. - Sudheendra Vijayanarasimhan; Prateek Jain 002; Kristen Grauman (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Beyond short snippets: Deep networks for video classification. - Joe Yue-Hei Ng; Matthew J. Hausknecht; Sudheendra Vijayanarasimhan; Oriol Vinyals; Rajat Monga; George Toderici (CVPR, 2015)

Efficient Large Scale Video Classification. - Balakrishnan Varadarajan; George Toderici; Sudheendra Vijayanarasimhan; Apostol Natsev (CoRR, 2015)

Deep Networks With Large Output Spaces. - Sudheendra Vijayanarasimhan; Jonathon Shlens; Rajat Monga; Jay Yagnik (ICLR (Workshop), 2015)

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)

End-to-End Learning of Semantic Grasping. - Eric Jang; Sudheendra Vijayanarasimhan; Peter Pastor; Julian Ibarz; Sergey Levine (CoRL, 2017)

Motion Prediction Under Multimodality with Conditional Stochastic Networks. - Katerina Fragkiadaki; Jonathan Huang; Alex Alemi; Sudheendra Vijayanarasimhan; Susanna Ricco; Rahul Sukthankar (CoRR, 2017)

AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions. - Chunhui Gu; Chen Sun 002; Sudheendra Vijayanarasimhan; Caroline Pantofaru; David A. Ross; George Toderici; Yeqing Li; Susanna Ricco; Rahul Sukthankar; Cordelia Schmid; Jitendra Malik (CoRR, 2017)

The Kinetics Human Action Video Dataset. - Will Kay; João Carreira 001; Karen Simonyan; Brian Zhang; Chloe Hillier; Sudheendra Vijayanarasimhan; Fabio Viola; Tim Green; Trevor Back; Paul Natsev; Mustafa Suleyman; Andrew Zisserman (CoRR, 2017)

SfM-Net: Learning of Structure and Motion from Video. - Sudheendra Vijayanarasimhan; Susanna Ricco; Cordelia Schmid; Rahul Sukthankar; Katerina Fragkiadaki (CoRR, 2017)

Rethinking the Faster R-CNN Architecture for Temporal Action Localization. - Yu-Wei Chao; Sudheendra Vijayanarasimhan; Bryan Seybold; David A. Ross; Jia Deng 001; Rahul Sukthankar (CVPR, 2018)

AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions. - Chunhui Gu; Chen Sun 002; David A. Ross; Carl Vondrick; Caroline Pantofaru; Yeqing Li; Sudheendra Vijayanarasimhan; George Toderici; Susanna Ricco; Rahul Sukthankar; Cordelia Schmid; Jitendra Malik (CVPR, 2018)

Active Learning for Video Description with Cluster-Regularized Ensemble Ranking. - David M. Chan; Sudheendra Vijayanarasimhan; David A. Ross; John F. Canny (ACCV (5), 2020)

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 (CVPR Workshops, 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)

IC3: Image Captioning by Committee Consensus. - David Chan; Austin Myers; Sudheendra Vijayanarasimhan; David A. Ross; John F. Canny (EMNLP, 2023)

IC3: Image Captioning by Committee Consensus. - David M. Chan; Austin Myers; Sudheendra Vijayanarasimhan; David A. Ross; John F. Canny (CoRR, 2023)

Distribution Aware Metrics for Conditional Natural Language Generation. - David M. Chan; Yiming Ni; David A. Ross; Sudheendra Vijayanarasimhan; Austin Myers; John F. Canny (LREC/COLING, 2024)