Guosheng Lin
Guosheng Lin
Nanyang Technological University
Verified email at adelaide.edu.au - Homepage
TitleCited byYear
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
6542017
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
5212016
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
4582015
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
4322015
Fast Supervised Hashing with Decision Trees for High-Dimensional Data
G Lin, C Shen, Q Shi, A Hengel, D Suter
CVPR2014, 2014
3012014
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
1532013
Learning hash functions using column generation
X Li, G Lin, C Shen, A Hengel, A Dick
ICML2013, 2013
1192013
CRF learning with CNN features for image segmentation
F Liu, G Lin, C Shen
Pattern Recognition 48 (10), 2983-2992, 2015
1132015
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
742017
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
632016
Supervised hashing using graph cuts and boosted decision trees
G Lin, C Shen, A Van den Hengel
IEEE transactions on pattern analysis and machine intelligence 37 (11), 2317 …, 2015
572015
Deeply learning the messages in message passing inference
G Lin, C Shen, I Reid, A van den Hengel
Advances in Neural Information Processing Systems, 361-369, 2015
502015
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
332016
Sequence searching with deep-learnt depth for condition-and viewpoint-invariant route-based place recognition
M Milford, C Shen, S Lowry, N Suenderhauf, S Shirazi, G Lin, F Liu, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
312015
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
232018
Optimizing ranking measures for compact binary code learning
G Lin, C Shen, J Wu
European Conference on Computer Vision, 613-627, 2014
232014
Efficient dense labelling of human activity sequences from wearables using fully convolutional networks
R Yao, G Lin, Q Shi, DC Ranasinghe
Pattern Recognition 78, 252-266, 2018
212018
StructBoost: Boosting Methods for Predicting Structured Output Variables
C Shen, G Lin, A van den Hengel
IEEE transactions on pattern analysis and machine intelligence, 1-1, 2013
182013
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
172018
Semantic segmentation from limited training data
A Milan, T Pham, K Vijay, D Morrison, AW Tow, L Liu, J Erskine, ...
IEEE International Conference on Robotics and Automation (ICRA) 2018, 2017
162017
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Articles 1–20