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Jianguo Zhang
Jianguo Zhang
Professor, Southern University of Science and Technology
Verified email at sustech.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
26872007
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
12672018
Beyond triplet loss: a deep quadruplet network for person re-identification
W Chen, X Chen, J Zhang, K Huang
CVPR 2017, 2017
11912017
Brief review of invariant texture analysis methods
J Zhang, T Tan
Pattern recognition 35 (3), 735-747, 2002
6672002
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
5632017
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
3462006
TEA: Temporal Excitation and Aggregation for Action Recognition
Y Li, B Ji, X Shi, J Zhang, B Kang, L Wang
IEEE CVPR 2020, 2020
3152020
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
3022006
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
230*2017
A Multi-Task Deep Network for Person Re-Identification.
W Chen, X Chen, J Zhang, K Huang
AAAI, 3988-3994, 2017
2302017
Invariant texture segmentation via circular Gabor filters
J Zhang, T Tan, L Ma
Pattern Recognition, 2002. Proceedings. 16th International Conference on 2 …, 2002
2082002
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
1842019
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
1812018
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
1702004
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
1512012
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
1482018
Digital Image Processing: Part II
H Zhou, J Wu, J Zhang
Bookboon, 2010
1312010
Action categorization with modified hidden conditional random field
J Zhang, S Gong
Pattern Recognition 43 (1), 197-203, 2010
1042010
Progressive Teacher-student Learning for Early Action Prediction
WSZ Xionghui Wang, Jian-Fang Hu, Jian-Huang Lai, Jianguo Zhang
IEEE CVPR, 2019
102*2019
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
1012018
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