Chunhua Shen
Chunhua Shen
School of Computer Science, The University of Adelaide
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 (CVPR), 2017
6492017
A Survey of Appearance Models in Visual Object Tracking
X Li, W Hu, C Shen, Z Zhang, A Dick, A Hengel
ACM Transactions on Intelligent Systems and Technology 4 (4), 2013
6232013
Supervised Discrete Hashing
F Shen, C Shen, W Liu, HT Shen
IEEE Conf. Computer Vision and Pattern Recognition, 2015
5742015
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections
X Mao, C Shen, YB Yang
Proc. Advances In Neural Information Processing Systems (NIPS), 2802-2810, 2016
525*2016
Efficient piecewise training of deep structured models for semantic segmentation
G Lin, C Shen, I Reid, A van den Hengel
IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2016
5202016
Deep Convolutional Neural Fields for Depth Estimation from a Single Image
F Liu, C Shen, G Lin
IEEE Conf. Computer Vision and Pattern Recognition, 2015
4552015
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, 2016
4292016
Real-time visual tracking using compressive sensing
H Li, C Shen, Q Shi
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011
3672011
Learning to rank in person re-identification with metric ensembles
S Paisitkriangkrai, C Shen, A Hengel
IEEE Conf. Computer Vision and Pattern Recognition, 2015
3512015
Fast Supervised Hashing with Decision Trees for High-Dimensional Data
G Lin, C Shen, Q Shi, A Hengel, D Suter
IEEE Conf. Computer Vision and Pattern Recognition, 2014
3002014
Is face recognition really a compressive sensing problem?
Q Shi, A Eriksson, A Van Den Hengel, C Shen
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, 553-560, 2011
2982011
Depth and Surface Normal Estimation From Monocular Images Using Regression on Deep Features and Hierarchical CRFs
B Li, C Shen, Y Dai, A van den Hengel, M He
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
2412015
What value do explicit high level concepts have in vision to language problems?
Q Wu, C Shen, L Liu, A Dick, A van den Hengel
IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2016
2372016
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Z Wu, C Shen, A Hengel
Pattern Recognition, 2016
2222016
Adaptive object tracking based on an effective appearance filter
H Wang, D Suter, K Schindler, C Shen
IEEE Transactions on Pattern Analysis and Machine Intelligence 29 (9), 1661-1667, 2007
2042007
Part-based visual tracking with online latent structural learning
R Yao, Q Shi, C Shen, Y Zhang, A Van Den Hengel
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
1952013
Inductive Hashing on Manifolds
F Shen, C Shen, Q Shi, A Hengel, Z Tang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
1882013
Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources
Q Wu, P Wang, C Shen, A Hengel, A Dick
IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2016
1852016
Fast pedestrian detection using a cascade of boosted covariance features
S Paisitkriangkrai, C Shen, J Zhang
IEEE Transactions on Circuits and Systems for Video Technology 18 (8), 1140-1151, 2008
1682008
A General Two-Step Approach to Learning-Based Hashing
G Lin, C Shen, D Suter, A Hengel
Computer Vision (ICCV), 2013 IEEE International Conference on, 2013
1522013
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