Guosheng Lin
Guosheng Lin
Nanyang Technological University
ntu.edu.sg üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
16242017
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
8332015
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
8102016
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
7552015
Fast Supervised Hashing with Decision Trees for High-Dimensional Data
G Lin, C Shen, Q Shi, A Hengel, D Suter
CVPR2014, 2014
3912014
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
1832013
CRF learning with CNN features for image segmentation
F Liu, G Lin, C Shen
Pattern Recognition 48 (10), 2983-2992, 2015
1772015
Learning hash functions using column generation
X Li, G Lin, C Shen, A Hengel, A Dick
ICML2013, 2013
1462013
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
1122017
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
1062016
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
842019
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
732015
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
722016
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
642018
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
612015
Deeply learning the messages in message passing inference
G Lin, C Shen, I Reid, A Hengel
Neural Information Processing Systems, 2015
602015
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
582020
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
582018
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
442019
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
432017
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Makaleler 1–20