LIME: Low-light image enhancement via illumination map estimation X Guo, Y Li, H Ling IEEE Transactions on Image Processing 26 (2), 982-993, 2017 | 2333 | 2017 |
Robust visual tracking using ℓ1minimization X Mei, H Ling 2009 IEEE 12th international conference on computer vision, 1436-1443, 2009 | 1562 | 2009 |
Lasot: A high-quality benchmark for large-scale single object tracking H Fan, L Lin, F Yang, P Chu, G Deng, S Yu, H Bai, Y Xu, C Liao, H Ling Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1509 | 2019 |
Shape classification using the inner-distance H Ling, DW Jacobs IEEE transactions on pattern analysis and machine intelligence 29 (2), 286-299, 2007 | 1461 | 2007 |
Real time robust l1 tracker using accelerated proximal gradient approach C Bao, Y Wu, H Ling, H Ji 2012 IEEE conference on computer vision and pattern recognition, 1830-1837, 2012 | 1253 | 2012 |
U2Fusion: A unified unsupervised image fusion network H Xu, J Ma, J Jiang, X Guo, H Ling IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (1), 502-518, 2022 | 1229 | 2022 |
Robust visual tracking and vehicle classification via sparse representation X Mei, H Ling IEEE transactions on pattern analysis and machine intelligence 33 (11), 2259 …, 2011 | 1185 | 2011 |
The sixth visual object tracking vot2018 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 982 | 2018 |
M2det: A single-shot object detector based on multi-level feature pyramid network Q Zhao, T Sheng, Y Wang, Z Tang, Y Chen, L Cai, H Ling Proceedings of the AAAI conference on artificial intelligence 33 (01), 9259-9266, 2019 | 972 | 2019 |
Feature pyramid and hierarchical boosting network for pavement crack detection F Yang, L Zhang, S Yu, D Prokhorov, X Mei, H Ling IEEE Transactions on Intelligent Transportation Systems 21 (4), 1525-1535, 2019 | 843 | 2019 |
Encoding color information for visual tracking: Algorithms and benchmark P Liang, E Blasch, H Ling IEEE transactions on image processing 24 (12), 5630-5644, 2015 | 793 | 2015 |
Salient object detection in the deep learning era: An in-depth survey W Wang, Q Lai, H Fu, J Shen, H Ling, R Yang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (6), 3239-3259, 2021 | 767 | 2021 |
Automatic thumbnail cropping and its effectiveness B Suh, H Ling, BB Bederson, DW Jacobs Proceedings of the 16th annual ACM symposium on User interface software and …, 2003 | 616 | 2003 |
Deepsaliency: Multi-task deep neural network model for salient object detection X Li, L Zhao, L Wei, MH Yang, F Wu, Y Zhuang, H Ling, J Wang IEEE transactions on image processing 25 (8), 3919-3930, 2016 | 604 | 2016 |
An efficient earth mover's distance algorithm for robust histogram comparison H Ling, K Okada IEEE transactions on pattern analysis and machine intelligence 29 (5), 840-853, 2007 | 598 | 2007 |
Detection and tracking meet drones challenge P Zhu, L Wen, D Du, X Bian, H Fan, Q Hu, H Ling IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7380 …, 2021 | 576 | 2021 |
Saliency detection on light field N Li, J Ye, Y Ji, H Ling, J Yu Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 575 | 2014 |
Transfer learning based visual tracking with gaussian processes regression J Gao, H Ling, W Hu, J Xing Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 568 | 2014 |
Minimum error bounded efficient ℓ1tracker with occlusion detection X Mei, H Ling, Y Wu, E Blasch, L Bai CVPR 2011, 1257-1264, 2011 | 542 | 2011 |
Siamese cascaded region proposal networks for real-time visual tracking H Fan, H Ling Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 511 | 2019 |