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Guosheng Lin
Guosheng Lin
Nanyang Technological University
Bestätigte E-Mail-Adresse bei ntu.edu.sg - Startseite
Titel
Zitiert von
Zitiert von
Jahr
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
G Lin, A Milan, C Shen, I Reid
IEEE Conference on Computer Vision and Pattern Recognition, 2017
32482017
Learning depth from single monocular images using deep convolutional neural fields
F Liu, C Shen, G Lin, I Reid
IEEE transactions on pattern analysis and machine intelligence 38 (10), 2024 …, 2015
13152015
Efficient piecewise training of deep structured models for semantic segmentation
G Lin, C Shen, R Ian, A van dan Hengel
IEEE Conference on Computer Vision and Pattern Recognition, 2016
11222016
Deep convolutional neural fields for depth estimation from a single image
F Liu, C Shen, G Lin
Proceedings of the IEEE conference on computer vision and pattern …, 2015
10512015
Deepemd: Few-shot image classification with differentiable earth mover's distance and structured classifiers
C Zhang, Y Cai, G Lin, C Shen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
6062020
Fast supervised hashing with decision trees for high-dimensional data
G Lin, C Shen, Q Shi, A Van den Hengel, D Suter
Proceedings of the IEEE conference on computer vision and pattern …, 2014
4642014
Canet: Class-agnostic segmentation networks with iterative refinement and attentive few-shot learning
C Zhang, G Lin, F Liu, R Yao, C Shen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
4572019
Pyramid graph networks with connection attentions for region-based one-shot semantic segmentation
C Zhang, G Lin, F Liu, J Guo, Q Wu, R Yao
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
2492019
CRF learning with CNN features for image segmentation
F Liu, G Lin, C Shen
Pattern Recognition 48 (10), 2983-2992, 2015
2292015
A general two-step approach to learning-based hashing
G Lin, C Shen, D Suter, A Van Den Hengel
Proceedings of the IEEE international conference on computer vision, 2552-2559, 2013
2012013
Crnet: Cross-reference networks for few-shot segmentation
W Liu, C Zhang, G Lin, F Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1792020
Learning hash functions using column generation
X Li, G Lin, C Shen, A Hengel, A Dick
ICML2013, 2013
1582013
Few-shot incremental learning with continually evolved classifiers
C Zhang, N Song, G Lin, Y Zheng, P Pan, Y Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1532021
Exploring context with deep structured models for semantic segmentation
G Lin, C Shen, A Hengel, I Reid
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
1532017
Video object segmentation and tracking: A survey
R Yao, G Lin, S Xia, J Zhao, Y Zhou
ACM Transactions on Intelligent Systems and Technology (TIST) 11 (4), 1-47, 2020
1512020
Fast training of triplet-based deep binary embedding networks
B Zhuang, G Lin, C Shen, I Reid
Proceedings of the IEEE conference on computer vision and pattern …, 2016
1342016
Monet: Deep motion exploitation for video object segmentation
H Xiao, J Feng, G Lin, Y Liu, M Zhang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1232018
Learning markov clustering networks for scene text detection
Z Liu, G Lin, S Yang, J Feng, W Lin, WL Goh
Computer Vision and Pattern Recognition (CVPR) 2018, 2018
1182018
Crowd counting via weighted VLAD on a dense attribute feature map
B Sheng, C Shen, G Lin, J Li, W Yang, C Sun
IEEE Transactions on Circuits and Systems for Video Technology 28 (8), 1788-1797, 2016
1182016
A dilated inception network for visual saliency prediction
S Yang, G Lin, Q Jiang, W Lin
IEEE Transactions on Multimedia 22 (8), 2163-2176, 2019
1152019
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