Jianguo Zhang
Jianguo Zhang
Professor, Southern University of Science and Technology
Verified email at - Homepage
Cited by
Cited by
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
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
Beyond triplet loss: a deep quadruplet network for person re-identification
W Chen, X Chen, J Zhang, K Huang
CVPR 2017, 2017
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
TEA: Temporal Excitation and Aggregation for Action Recognition
Y Li, B Ji, X Shi, J Zhang, B Kang, L Wang
IEEE CVPR 2020, 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
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
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
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
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
Invariant texture segmentation via circular Gabor filters
J Zhang, T Tan, L Ma
Pattern Recognition, 2002. Proceedings. 16th International Conference on 2 …, 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
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
Digital Image Processing: Part II
H Zhou, J Wu, J Zhang
Bookboon, 2010
Progressive Teacher-student Learning for Early Action Prediction
WSZ Xionghui Wang, Jian-Fang Hu, Jian-Huang Lai, Jianguo Zhang
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
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
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