Fast compressive tracking K Zhang, L Zhang, MH Yang IEEE transactions on pattern analysis and machine intelligence 36 (10), 2002 …, 2014 | 2556 | 2014 |
Active contours with selective local or global segmentation: a new formulation and level set method K Zhang, L Zhang, H Song, W Zhou Image and Vision computing 28 (4), 668-676, 2010 | 1035 | 2010 |
Fast visual tracking via dense spatio-temporal context learning K Zhang, L Zhang, Q Liu, D Zhang, MH Yang Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 1029 | 2014 |
Active contours driven by local image fitting energy K Zhang, H Song, L Zhang Pattern recognition 43 (4), 1199-1206, 2010 | 924 | 2010 |
A level set approach to image segmentation with intensity inhomogeneity K Zhang, L Zhang, KM Lam, D Zhang IEEE transactions on cybernetics 46 (2), 546-557, 2015 | 478 | 2015 |
Robust visual tracking via convolutional networks without training K Zhang, Q Liu, Y Wu, MH Yang IEEE Transactions on Image Processing 25 (4), 1779-1792, 2016 | 435 | 2016 |
Real-time visual tracking via online weighted multiple instance learning K Zhang, H Song Pattern recognition 46 (1), 397-411, 2013 | 362 | 2013 |
Stacked hourglass network for robust facial landmark localisation J Yang, Q Liu, K Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 309 | 2017 |
Reinitialization-free level set evolution via reaction diffusion K Zhang, L Zhang, H Song, D Zhang IEEE Transactions on Image Processing 22 (1), 258-271, 2012 | 259 | 2012 |
Real-time object tracking via online discriminative feature selection K Zhang, L Zhang, MH Yang IEEE Transactions on Image Processing 22 (12), 4664-4677, 2013 | 219 | 2013 |
A variational approach to simultaneous image segmentation and bias correction K Zhang, Q Liu, H Song, X Li IEEE Transactions on Cybernetics 45 (8), 1426-1437, 2014 | 125 | 2014 |
The ninth visual object tracking vot2021 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 114 | 2021 |
Adaptive graph convolutional network with attention graph clustering for co-saliency detection K Zhang, T Li, S Shen, B Liu, J Chen, Q Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 110 | 2020 |
A variational multiphase level set approach to simultaneous segmentation and bias correction K Zhang, L Zhang, S Zhang 2010 IEEE International Conference on Image Processing, 4105-4108, 2010 | 106 | 2010 |
Shadow detection and reconstruction in high-resolution satellite images via morphological filtering and example-based learning H Song, B Huang, K Zhang IEEE Transactions on Geoscience and Remote Sensing 52 (5), 2545-2554, 2013 | 102 | 2013 |
Co-saliency detection via mask-guided fully convolutional networks with multi-scale label smoothing K Zhang, T Li, B Liu, Q Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 99 | 2019 |
Improving the spatial resolution of landsat TM/ETM+ through fusion with SPOT5 images via learning-based super-resolution H Song, B Huang, Q Liu, K Zhang IEEE Transactions on Geoscience and Remote Sensing 53 (3), 1195-1204, 2014 | 75 | 2014 |
Facial shape tracking via spatio-temporal cascade shape regression J Yang, J Deng, K Zhang, Q Liu Proceedings of the IEEE international conference on computer vision …, 2015 | 62 | 2015 |
Robust visual tracking via patch based kernel correlation filters with adaptive multiple feature ensemble W Chen, K Zhang, Q Liu Neurocomputing 214, 607-617, 2016 | 58 | 2016 |
Visdrone-sot2018: The vision meets drone single-object tracking challenge results L Wen, P Zhu, D Du, X Bian, H Ling, Q Hu, C Liu, H Cheng, X Liu, W Ma, ... Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 56 | 2018 |