Ruimao Zhang
Ruimao Zhang
SYSU -> CUHK -> SenseTime Research
Verified email at - Homepage
Cited by
Cited by
Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification
R Zhang, L Lin, R Zhang, W Zuo, L Zhang
IEEE Transactions on Image Processing 24 (12), 4766 - 4779, 2015
Cost-effective active learning for deep image classification
K Wang, D Zhang, Y Li, R Zhang, L Lin
IEEE Transactions on Circuits and Systems for Video Technology 27 (12), 2591 …, 2016
Deepfashion2: A versatile benchmark for detection, pose estimation, segmentation and re-identification of clothing images
Y Ge, R Zhang, X Wang, X Tang, P Luo
Proceedings of the IEEE conference on computer vision and pattern …, 2019
Differentiable learning-to-normalize via switchable normalization
P Luo, J Ren, Z Peng, R Zhang, J Li
arXiv preprint arXiv:1806.10779, 2018
Deep structured scene parsing by learning with image descriptions
L Lin, G Wang, R Zhang, R Zhang, X Liang, W Zuo
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Image-to-video person re-identification with temporally memorized similarity learning
D Zhang, W Wu, H Cheng, R Zhang, Z Dong, Z Cai
IEEE Transactions on Circuits and Systems for Video Technology 28 (10), 2622 …, 2017
Scan: Self-and-collaborative attention network for video person re-identification
R Zhang, J Li, H Sun, Y Ge, P Luo, X Wang, L Lin
IEEE Transactions on Image Processing 28 (10), 4870-4882, 2019
Ssn: Learning sparse switchable normalization via sparsestmax
W Shao, T Meng, J Li, R Zhang, Y Li, X Wang, P Luo
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
Adaptive scene category discovery with generative learning and compositional sampling
L Lin, R Zhang, X Duan
IEEE Transactions on Circuits and Systems for Video Technology 25 (2), 251-260, 2014
Attentive crowd flow machines
L Liu, R Zhang, J Peng, G Li, B Du, L Lin
Proceedings of the 26th ACM international conference on Multimedia, 1553-1561, 2018
Geometric scene parsing with hierarchical lstm
Z Peng, R Zhang, X Liang, X Liu, L Lin
Proceedings of International Joint Conferences on Artificial Intelligence …, 2016
Progressively Diffused Networks for Semantic Visual Parsing
R Zhang, W Yang, Z Peng, X Wang, L Lin
Pattern Recognition, 2019
SCN: Switchable Context Network for Semantic Segmentation of RGB-D Images
D Lin, R Zhang, Y Ji, P Li, H Huang
IEEE transactions on cybernetics, 2018
Hierarchical scene parsing by weakly supervised learning with image descriptions
R Zhang, L Lin, G Wang, M Wang, W Zuo
IEEE transactions on pattern analysis and machine intelligence 41 (3), 596-610, 2018
Deep boosting: Layered feature mining for general image classification
Z Peng, L Lin, R Zhang, J Xu
2014 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2014
Once a man: Towards multi-target attack via learning multi-target adversarial network once
J Han, X Dong, R Zhang, D Chen, W Zhang, N Yu, P Luo, X Wang
Proceedings of the IEEE International Conference on Computer Vision, 5158-5167, 2019
AIM 2020 challenge on learned image signal processing pipeline
A Ignatov, R Timofte, Z Zhang, M Liu, H Wang, W Zuo, J Zhang, R Zhang, ...
arXiv preprint arXiv:2011.04994, 2020
Switchable normalization for learning-to-normalize deep representation
P Luo, R Zhang, J Ren, Z Peng, J Li
IEEE transactions on pattern analysis and machine intelligence, 2019
Differentiable dynamic normalization for learning deep representation
P Luo, P Zhanglin, S Wenqi, Z Ruimao, R Jiamin, W Lingyun
International Conference on Machine Learning, 4203-4211, 2019
Do normalization layers in a deep convnet really need to be distinct?
P Luo, Z Peng, J Ren, R Zhang
arXiv preprint arXiv:1811.07727, 2018
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