Chunhua Shen
Chunhua Shen
School of Computer Science, The University of Adelaide
Verified email at adelaide.edu.au - Homepage
Title
Cited by
Cited by
Year
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
16542017
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 (NeurIPS), 2802-2810, 2016
1233*2016
Supervised Discrete Hashing
F Shen, C Shen, W Liu, HT Shen
IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2015
8582015
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
8382016
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
8172016
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
7762013
Deep Convolutional Neural Fields for Depth Estimation from a Single Image
F Liu, C Shen, G Lin
IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2015
7652015
FCOS: Fully Convolutional One-Stage Object Detection
Z Tian, C Shen, H Chen, T He
Proc. Int. Conf. Computer Vision (ICCV), 2019
7252019
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Z Wu, C Shen, A Hengel
Pattern Recognition, 2016
5582016
Learning to rank in person re-identification with metric ensembles
S Paisitkriangkrai, C Shen, A Hengel
IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2015
4602015
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
Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 1119-1127, 2015
4182015
Real-time visual tracking using compressive sensing
H Li, C Shen, Q Shi
IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 1305-1312, 2011
4092011
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 (CVPR), 2014
3932014
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
3762016
Is face recognition really a compressive sensing problem?
Q Shi, A Eriksson, A Van Den Hengel, C Shen
IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 553-560, 2011
3312011
VITAL: VIsual Tracking via Adversarial Learning
Y Song, C Ma, X Wu, L Gong, L Bao, W Zuo, C Shen, R Lau, MH Yang
IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2018
2942018
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
2922016
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge
Q Wu, C Shen, A Hengel, P Wang, A Dick
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
2472017
Repulsion Loss: Detecting Pedestrians in a Crowd
X Wang, T Xiao, Y Jiang, S Shao, J Sun, C Shen
IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2018
2342018
Inductive Hashing on Manifolds
F Shen, C Shen, Q Shi, A Hengel, Z Tang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
2312013
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