Sudheendra Vijayanarasimhan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
7
Active years
2008–2024
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | COLING | Distribution Aware Metrics for Conditional Natural Language Generation. | David M. Chan, Yiming Ni, David A. Ross, Sudheendra Vijayanarasimhan, Austin Myers, John F. Canny |
| 2023 | EMNLP | IC3: Image Captioning by Committee Consensus. | David Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny |
| 2022 | CVPR | 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 |
| 2020 | ACCV | Active Learning for Video Description with Cluster-Regularized Ensemble Ranking. | David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny |
| 2018 | CVPR | Rethinking the Faster R-CNN Architecture for Temporal Action Localization. | Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar |
| 2018 | CVPR | 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 |
| 2017 | CoRL | End-to-End Learning of Semantic Grasping. | Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine |
| 2015 | CVPR | Beyond short snippets: Deep networks for video classification. | Joe Yue-Hei Ng, Matthew J. Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, George Toderici |
| 2013 | CVPR | 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 |
| 2012 | ECCV | 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 |
| 2012 | ECCV | Active Frame Selection for Label Propagation in Videos. | Sudheendra Vijayanarasimhan, Kristen Grauman |
| 2011 | CVPR | Efficient region search for object detection. | Sudheendra Vijayanarasimhan, Kristen Grauman |
| 2011 | CVPR | Large-scale live active learning: Training object detectors with crawled data and crowds. | Sudheendra Vijayanarasimhan, Kristen Grauman |
| 2011 | ICCV | Actively selecting annotations among objects and attributes. | Adriana Kovashka, Sudheendra Vijayanarasimhan, Kristen Grauman |
| 2010 | CVPR | Top-down pairwise potentials for piecing together multi-class segmentation puzzles. | Sudheendra Vijayanarasimhan, Kristen Grauman |
| 2010 | CVPR | Far-sighted active learning on a budget for image and video recognition. | Sudheendra Vijayanarasimhan, Prateek Jain, Kristen Grauman |
| 2010 | CVPR | Visual recognition and detection under bounded computational resources. | Sudheendra Vijayanarasimhan, Ashish Kapoor |
| 2009 | CVPR | What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations. | Sudheendra Vijayanarasimhan, Kristen Grauman |
| 2008 | CVPR | Keywords to visual categories: Multiple-instance learning forweakly supervised object categorization. | Sudheendra Vijayanarasimhan, Kristen Grauman |