| Convolutional Neural Networks for No-Reference Image Quality Assessment L Kang, P Ye, Y Li, D Doermann The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 | 1407 | 2014 |
| Sketch-based 3d shape retrieval using convolutional neural networks F Wang, L Kang, Y Li Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 487 | 2015 |
| Deeptrack: Learning discriminative feature representations online for robust visual tracking H Li, Y Li, F Porikli IEEE Transactions on Image Processing 25 (4), 1834-1848, 2015 | 333 | 2015 |
| Script-independent text line segmentation in freestyle handwritten documents Y Li, Y Zheng, D Doermann, S Jaeger IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (8), 1313-1329, 2008 | 288 | 2008 |
| Robot learning manipulation action plans by" watching" unconstrained videos from the world wide web Y Yang, Y Li, C Fermuller, Y Aloimonos Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 272 | 2015 |
| Convolutional neural networks for document image classification L Kang, J Kumar, P Ye, Y Li, D Doermann 2014 22nd international conference on pattern recognition, 3168-3172, 2014 | 209 | 2014 |
| Leadership in orchestra emerges from the causal relationships of movement kinematics A D'Ausilio, L Badino, Y Li, S Tokay, L Craighero, R Canto, Y Aloimonos, ... PLoS one 7 (5), e35757, 2012 | 200 | 2012 |
| Simultaneous estimation of image quality and distortion via multi-task convolutional neural networks L Kang, P Ye, Y Li, D Doermann 2015 IEEE international conference on image processing (ICIP), 2791-2795, 2015 | 198 | 2015 |
| Beyond Physical Connections: Tree Models in Human Pose Estimation F Wang, Y Li Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 2013 | 197 | 2013 |
| Deeptrack: Learning discriminative feature representations by convolutional neural networks for visual tracking. H Li, Y Li, F Porikli BMVC 1 (2), 3, 2014 | 183 | 2014 |
| Orientation Robust Textline Detection in Natural Images L Kang, Y Li, D Doermann Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, 2014 | 173 | 2014 |
| A New Algorithm for Detecting Text Line in Handwritten Documents SJ Yi Li, Yefeng Zheng, David Doermann International Workshop on Frontiers in Handwriting Recognition (IWFHR), 2006 | 143* | 2006 |
| Robust online visual tracking with a single convolutional neural network H Li, Y Li, F Porikli Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 118 | 2015 |
| Grasp type revisited: A modern perspective on a classical feature for vision Y Yang, C Fermuller, Y Li, Y Aloimonos Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 100 | 2015 |
| A deep learning approach to document image quality assessment L Kang, P Ye, Y Li, D Doermann 2014 IEEE International Conference on Image Processing (ICIP), 2570-2574, 2014 | 77 | 2014 |
| Learning shift-invariant sparse representation of actions Y Li, C Fermuller, Y Aloimonos, H Ji 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 69 | 2010 |
| Compositional memory for visual question answering A Jiang, F Wang, F Porikli, Y Li arXiv preprint arXiv:1511.05676, 2015 | 60 | 2015 |
| Object detection using a shape codebook X Yu, L Yi, C Fermuller, D Doermann British Machine Vision Conference 4, 2007 | 40 | 2007 |
| Is Rotation a Nuisance in Shape Recognition? Q Ke, Y Li Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, 2014 | 38 | 2014 |
| Language identification for handwritten document images using a shape codebook G Zhu, X Yu, Y Li, D Doermann pattern recognition 42 (12), 3184-3191, 2009 | 38 | 2009 |
David DoermannProfessor, University at Buffalo在 buffalo.edu 的电子邮件经过验证
