| Local features and kernels for classification of texture and object categories: A comprehensive study J Zhang, M Marszalek, S Lazebnik, C Schmid International Journal of Computer Vision 73 (2), 2007, 2007 | 2761 | 2007 |
| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1991 | 2018 |
| Beyond triplet loss: a deep quadruplet network for person re-identification W Chen, X Chen, J Zhang, K Huang CVPR 2017, 2017 | 1464 | 2017 |
| Brief review of invariant texture analysis methods J Zhang, T Tan Pattern recognition 35 (3), 735-747, 2002 | 688 | 2002 |
| Jointly Learning Heterogeneous Features for RGB-D Activity Recognition J Hu, weishi Zheng, J Lai, J Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 | 655 | 2017 |
| TEA: Temporal Excitation and Aggregation for Action Recognition Y Li, B Ji, X Shi, J Zhang, B Kang, L Wang IEEE CVPR 2020, 2020 | 566 | 2020 |
| The 2005 pascal visual object classes challenge M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ... Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual …, 2006 | 371 | 2006 |
| Dataset issues in object recognition J Ponce, TL Berg, M Everingham, DA Forsyth, M Hebert, S Lazebnik, ... Toward category-level object recognition, 29-48, 2006 | 320 | 2006 |
| Standardized assessment of automatic segmentation of white matter hyperintensities; results of the wmh segmentation challenge HJ Kuijf, JM Biesbroek, J de Bresser, R Heinen, S Andermatt, M Bento, ... IEEE transactions on medical imaging, 2019 | 294 | 2019 |
| A multi-task deep network for person re-identification KH Weihua Chen, Xiaotang Chen, Jianguo Zhang the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), 2017 | 248* | 2017 |
| A Multi-Task Deep Network for Person Re-Identification. W Chen, X Chen, J Zhang, K Huang AAAI, 3988-3994, 2017 | 248 | 2017 |
| Fully convolutional network ensembles for white matter hyperintensities segmentation in mr images H Li, G Jiang, J Zhang, R Wang, Z Wang, WS Zheng, B Menze NeuroImage 183, 650-665, 2018 | 247 | 2018 |
| Invariant texture segmentation via circular Gabor filters J Zhang, T Tan, L Ma Pattern Recognition, 2002. Proceedings. 16th International Conference on 2 …, 2002 | 217 | 2002 |
| Discriminative Learning of Latent Features for Zero-Shot Recognition Y Li, J Zhang, J Zhang, K Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 189 | 2018 |
| Tumor segmentation from magnetic resonance imaging by learning via one-class support vector machine J Zhang, KK Ma, MH Er, V Chong International Workshop on Advanced Image Technology (IWAIT'04), 207-211, 2004 | 183 | 2004 |
| Human action segmentation and recognition via motion and shape analysis L Shao, L Ji, Y Liu, J Zhang Pattern Recognition Letters 33 (4), 438-445, 2012 | 159 | 2012 |
| Progressive Teacher-student Learning for Early Action Prediction WSZ Xionghui Wang, Jian-Fang Hu, Jian-Huang Lai, Jianguo Zhang IEEE CVPR, 2019 | 144* | 2019 |
| Digital Image Processing: Part II H Zhou, J Wu, J Zhang Bookboon, 2010 | 142 | 2010 |
| Early Action Prediction by Soft Regression JZ Jian-Fang Hu, Wei-Shi Zheng, Lianyang Ma, Gang Wang, Jianhuang Lai IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 | 129 | 2018 |
| Boundary-aware fully convolutional network for brain tumor segmentation H Shen, R Wang, J Zhang, SJ McKenna Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017 | 119 | 2017 |
Wei-Shi ZhengProfessor @ SUN YAT-SEN UNIVERSITY在 ieee.org 的电子邮件经过验证
