Guosheng Lin
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인용
연도
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
13412017
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
7182016
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
7152015
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
6592015
Fast Supervised Hashing with Decision Trees for High-Dimensional Data
G Lin, C Shen, Q Shi, A Hengel, D Suter
CVPR2014, 2014
3712014
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
1802013
CRF learning with CNN features for image segmentation
F Liu, G Lin, C Shen
Pattern Recognition 48 (10), 2983-2992, 2015
1612015
Learning hash functions using column generation
X Li, G Lin, C Shen, A Hengel, A Dick
ICML2013, 2013
1362013
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
1012017
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
892016
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
652015
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
632016
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
602015
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
552018
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
502018
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
502015
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning
C Zhang, G Lin, F Liu, R Yao, C Shen
Computer Vision and Pattern Recognition (CVPR), 2019
492019
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
372017
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
362018
Decoupled spatial neural attention for weakly supervised semantic segmentation
T Zhang, G Lin, J Cai, T Shen, C Shen, AC Kot
IEEE Transactions on Multimedia (TMM), 2018
302018
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학술자료 1–20