Jianguo Zhang
Jianguo Zhang
Professor, Southern University of Science and Technology
在 sustech.edu.cn 的电子邮件经过验证 - 首页
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
Beyond triplet loss: a deep quadruplet network for person re-identification
W Chen, X Chen, J Zhang, K Huang
CVPR 2017, 2017
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
Brief review of invariant texture analysis methods
J Zhang, T Tan
Pattern recognition 35 (3), 735-747, 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
Pascal visual object classes challenge results
M Everingham, L Van Gool, C Williams, J Winn, A Zisserman
Available from www. pascal-network. org 1 (6), 7, 2005
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
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
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
A Multi-Task Deep Network for Person Re-Identification.
W Chen, X Chen, J Zhang, K Huang
AAAI, 3988-3994, 2017
Invariant texture segmentation via circular Gabor filters
J Zhang, T Tan, L Ma
Pattern Recognition, 2002. Proceedings. 16th International Conference on 2 …, 2002
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
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
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
Digital Image Processing: Part II
H Zhou, J Wu, J Zhang
Bookboon, 2010
Action categorization with modified hidden conditional random field
J Zhang, S Gong
Pattern Recognition 43 (1), 197-203, 2010
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
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
TEA: Temporal Excitation and Aggregation for Action Recognition
Y Li, B Ji, X Shi, J Zhang, B Kang, L Wang
IEEE CVPR 2020, 2020
An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens
S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna
Pattern Recognition 51, 12-26, 2016
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