| Learning a hierarchy of discriminative space-time neighborhood features for human action recognition A Kovashka, K Grauman 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 688 | 2010 |
| Whittlesearch: Image search with relative attribute feedback A Kovashka, D Parikh, K Grauman 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2973-2980, 2012 | 417 | 2012 |
| Automatic understanding of image and video advertisements Z Hussain, M Zhang, X Zhang, K Ye, C Thomas, Z Agha, N Ong, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 190 | 2017 |
| Crowdsourcing in computer vision A Kovashka, O Russakovsky, L Fei-Fei, K Grauman Foundations and Trends® in computer graphics and Vision 10 (3), 177-243, 2016 | 169 | 2016 |
| Authorship attribution using probabilistic context-free grammars S Raghavan, A Kovashka, R Mooney Proceedings of the ACL 2010 conference short papers, 38-42, 2010 | 132 | 2010 |
| Whittlesearch: Interactive image search with relative attribute feedback A Kovashka, D Parikh, K Grauman International Journal of Computer Vision 115, 185-210, 2015 | 102 | 2015 |
| Actively selecting annotations among objects and attributes A Kovashka, S Vijayanarasimhan, K Grauman 2011 International Conference on Computer Vision, 1403-1410, 2011 | 101 | 2011 |
| Attribute adaptation for personalized image search A Kovashka, K Grauman Proceedings of the IEEE International Conference on Computer Vision, 3432-3439, 2013 | 96 | 2013 |
| Attribute pivots for guiding relevance feedback in image search A Kovashka, K Grauman Proceedings of the IEEE International Conference on Computer Vision, 297-304, 2013 | 83 | 2013 |
| Equal but not the same: Understanding the implicit relationship between persuasive images and text M Zhang, R Hwa, A Kovashka arXiv preprint arXiv:1807.08205, 2018 | 68 | 2018 |
| Advise: Symbolism and external knowledge for decoding advertisements K Ye, A Kovashka Proceedings of the European Conference on Computer Vision (ECCV), 837-855, 2018 | 58 | 2018 |
| Cap2det: Learning to amplify weak caption supervision for object detection K Ye, M Zhang, A Kovashka, W Li, D Qin, J Berent Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 56 | 2019 |
| Discovering attribute shades of meaning with the crowd A Kovashka, K Grauman International Journal of Computer Vision 114, 56-73, 2015 | 49 | 2015 |
| A case study of the shortcut effects in visual commonsense reasoning K Ye, A Kovashka Proceedings of the AAAI conference on artificial intelligence 35 (4), 3181-3189, 2021 | 43 | 2021 |
| Linguistic structures as weak supervision for visual scene graph generation K Ye, A Kovashka Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 43 | 2021 |
| Preserving semantic neighborhoods for robust cross-modal retrieval C Thomas, A Kovashka Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 41 | 2020 |
| Seeing behind the camera: Identifying the authorship of a photograph C Thomas, A Kovashka Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 34 | 2016 |
| Interpreting the rhetoric of visual advertisements K Ye, NH Nazari, J Hahn, Z Hussain, M Zhang, A Kovashka IEEE transactions on pattern analysis and machine intelligence 43 (4), 1308-1323, 2019 | 33 | 2019 |
| Inferring visual persuasion via body language, setting, and deep features X Huang, A Kovashka Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 31 | 2016 |
| Domain generalization using shape representation N Honarvar Nazari, A Kovashka European Conference on Computer Vision, 666-670, 2020 | 27 | 2020 |
Kristen GraumanProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
