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Liang Lin
Liang Lin
Fellow of IEEE/IAPR, Research Director of Peng Cheng Laboratory, Professor of Computer Science, SYSU
Verified email at ieee.org - Homepage
Title
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
16772017
SNAS: stochastic neural architecture search
S Xie, H Zheng, C Liu, L Lin
International Conference on Representation Learning, 2018
10532018
Is faster R-CNN doing well for pedestrian detection?
L Zhang, L Lin, X Liang, K He
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
10312016
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
9732017
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
811*2018
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
7882015
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
7732018
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
7712016
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
7482018
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
5622019
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
5502015
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
4902016
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
4822019
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
4492018
Semantic object parsing with graph lstm
X Liang, X Shen, J Feng, L Lin, S Yan
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
4322016
Knowledge-embedded routing network for scene graph generation
T Chen, W Yu, R Chen, L Lin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
4052019
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
4002010
Toward characteristic-preserving image-based virtual try-on network
B Wang, H Zheng, X Liang, Y Chen, L Lin, M Yang
Proceedings of the European conference on computer vision (ECCV), 589-604, 2018
3882018
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
378*2016
Instance-level human parsing via part grouping network
K Gong, X Liang, Y Li, Y Chen, M Yang, L Lin
Proceedings of the European conference on computer vision (ECCV), 770-785, 2018
3592018
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Articles 1–20