Convolutional neural networks for no-reference image quality assessment L Kang, P Ye, Y Li, D Doermann Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 1317 | 2014 |
Unsupervised feature learning framework for no-reference image quality assessment P Ye, J Kumar, L Kang, D Doermann 2012 IEEE conference on computer vision and pattern recognition, 1098-1105, 2012 | 970 | 2012 |
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 | 469 | 2015 |
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 | 194 | 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 | 194 | 2014 |
Orientation robust text line detection in natural images L Kang, Y Li, D Doermann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 169 | 2014 |
Asm-loc: Action-aware segment modeling for weakly-supervised temporal action localization B He, X Yang, L Kang, Z Cheng, X Zhou, A Shrivastava Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 90 | 2022 |
Handwritten Arabic text line segmentation using affinity propagation J Kumar, W Abd-Almageed, L Kang, D Doermann Proceedings of the 9th IAPR International Workshop on Document Analysis …, 2010 | 88 | 2010 |
Real-time no-reference image quality assessment based on filter learning P Ye, J Kumar, L Kang, D Doermann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 86 | 2013 |
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 |
Soccernet-tracking: Multiple object tracking dataset and benchmark in soccer videos A Cioppa, S Giancola, A Deliege, L Kang, X Zhou, Z Cheng, B Ghanem, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 75 | 2022 |
Segmentation of Handwritten Textlines in Presence of Touching Components JK Le Kang, D Doermann, W Abd-Almageed | 48* | |
Feature combination meets attention: Baidu soccer embeddings and transformer based temporal detection X Zhou, L Kang, Z Cheng, B He, J Xin arXiv preprint arXiv:2106.14447, 2021 | 31 | 2021 |
SoccerNet 2022 challenges results S Giancola, A Cioppa, A Deliège, F Magera, V Somers, L Kang, X Zhou, ... Proceedings of the 5th International ACM Workshop on Multimedia Content …, 2022 | 30 | 2022 |
Diffusion motion: Generate text-guided 3d human motion by diffusion model Z Ren, Z Pan, X Zhou, L Kang ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 26 | 2023 |
Local Segmentation of Touching Characters using Contour based Shape Decomposition L Kang, D Doermann, H Cao, R Prasad, P Natarajan | 19* | |
Template based segmentation of touching components in handwritten text lines L Kang, D Doermann 2011 International Conference on Document Analysis and Recognition, 569-573, 2011 | 18 | 2011 |
Learning Text-Line Segmentation Using Codebooks and Graph Partitioning L Kang, J Kumar, P Ye, D Doermann Frontiers in Handwriting Recognition (ICFHR), 2012 International Conference …, 2012 | 10 | 2012 |
Handwritten Arabic Text Zone Detection using A Shape Codebook J Kumar, W Abd-Almageed, L Kang, D Doermann ICPR, 2010 | 5 | 2010 |
Fast diffusion probabilistic model sampling through the lens of backward error analysis Y Gao, Z Pan, X Zhou, L Kang, P Chaudhari arXiv preprint arXiv:2304.11446, 2023 | 4 | 2023 |