| Fine-Grained Visual Comparisons with Local Learning A Yu, K Grauman IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 192-199, 2014 | 550 | 2014 |
| Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images A Yu, K Grauman IEEE International Conference on Computer Vision (ICCV), 5570-5579, 2017 | 153 | 2017 |
| Just Noticeable Differences in Visual Attributes A Yu, K Grauman IEEE International Conference on Computer Vision (ICCV), 2416-2424, 2015 | 54 | 2015 |
| Thinking Outside the Pool: Active Training Image Creation for Relative Attributes A Yu, K Grauman IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 708-718, 2019 | 26 | 2019 |
| Predicting Useful Neighborhoods for Lazy Local Learning A Yu, K Grauman Neural Information Processing Systems (NIPS), 1916-1924, 2014 | 18 | 2014 |
| Fine-Grained Comparisons with Attributes A Yu, K Grauman Visual Attributes, 119-154, 2017 | 17 | 2017 |
| Densifying Supervision for Fine-Grained Visual Comparisons A Yu, K Grauman International Journal of Computer Vision 128 (10), 2704-2730, 2020 | 1 | 2020 |
| Fine-Grained Visual Comparisons A Yu University of Texas at Austin, 2019 | | 2019 |
Kristen GraumanProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
