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Liang Lin
Liang Lin
Fellow of IAPR, Professor of Computer Science, Sun Yat-Sen University, China
Verified email at ieee.org - Homepage
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Cited by
Cited by
Year
Ntire 2017 challenge on single image super-resolution: Methods and results
R Timofte, E Agustsson, L Van Gool, MH Yang, L Lin, L Zhang
Proceedings of the IEEE conference on computer vision and pattern …, 2017
11512017
Is faster R-CNN doing well for pedestrian detection?
L Zhang, L Lin, X Liang, K He
European conference on computer vision, 443-457, 2016
8862016
SNAS: stochastic neural architecture search
S Xie, H Zheng, C Liu, L Lin
arXiv preprint arXiv:1812.09926, 2018
7822018
Joint detection and identification feature learning for person search
T Xiao, S Li, B Wang, L Lin, X Wang
Proceedings of the IEEE conference on computer vision and pattern …, 2017
7582017
Deep feature learning with relative distance comparison for person re-identification
S Ding, L Lin, G Wang, H Chao
Pattern Recognition 48 (10), 2993-3003, 2015
7172015
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
5452016
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
5092015
Multi-level wavelet-CNN for image restoration
P Liu, H Zhang, K Zhang, L Lin, W Zuo
Proceedings of the IEEE conference on computer vision and pattern …, 2018
4732018
Joint learning of single-image and cross-image representations for person re-identification
F Wang, W Zuo, L Lin, D Zhang, L Zhang
Proceedings of the IEEE conference on computer vision and pattern …, 2016
4262016
Look into person: Self-supervised structure-sensitive learning and a new benchmark for human parsing
K Gong, X Liang, D Zhang, X Shen, L Lin
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017
4202017
Unsupervised image super-resolution using cycle-in-cycle generative adversarial networks
Y Yuan, S Liu, J Zhang, Y Zhang, C Dong, L Lin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
4142018
I2t: Image parsing to text description
BZ Yao, X Yang, L Lin, MW Lee, SC Zhu
Proceedings of the IEEE 98 (8), 1485-1508, 2010
3572010
Semantic object parsing with graph lstm
X Liang, X Shen, J Feng, L Lin, S Yan
European Conference on Computer Vision, 125-143, 2016
3372016
Larger norm more transferable: An adaptive feature norm approach for unsupervised domain adaptation
R Xu, G Li, J Yang, L Lin
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
3252019
Clothes co-parsing via joint image segmentation and labeling with application to clothing retrieval
X Liang, L Lin, W Yang, P Luo, J Huang, S Yan
IEEE Transactions on Multimedia 18 (6), 1175-1186, 2016
321*2016
Deep cocktail network: Multi-source unsupervised domain adaptation with category shift
R Xu, Z Chen, W Zuo, J Yan, L Lin
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2852018
Human parsing with contextualized convolutional neural network
X Liang, C Xu, X Shen, J Yang, S Liu, J Tang, L Lin, S Yan
Proceedings of the IEEE international conference on computer vision, 1386-1394, 2015
2832015
Look into person: Joint body parsing & pose estimation network and a new benchmark
X Liang, K Gong, X Shen, L Lin
IEEE transactions on pattern analysis and machine intelligence 41 (4), 871-885, 2018
2732018
Instance-level salient object segmentation
G Li, Y Xie, L Lin, Y Yu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
2652017
Meta r-cnn: Towards general solver for instance-level low-shot learning
X Yan, Z Chen, A Xu, X Wang, X Liang, L Lin
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
2602019
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Articles 1–20