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
18132017
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
1325*2016
FCOS: Fully Convolutional One-Stage Object Detection
Z Tian, C Shen, H Chen, T He
Proc. Int. Conf. Computer Vision (ICCV), 2019
9232019
Supervised Discrete Hashing
F Shen, C Shen, W Liu, HT Shen
IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2015
9032015
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
8952016
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
8532016
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
8072015
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
7932013
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Z Wu, C Shen, A Hengel
Pattern Recognition, 2016
6312016
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
4692015
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
4482015
Real-time visual tracking using compressive sensing
H Li, C Shen, Q Shi
IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 1305-1312, 2011
4112011
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
4042014
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
3862016
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
3362011
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
3232018
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
3052016
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection
J Zhang, Y Xie, Z Liao, G Pang, J Verjans, W Li, Z Sun, J He, Y Li, C Shen, ...
IEEE Transactions on Medical Imaging, 2020
277*2020
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
2562018
Inductive Hashing on Manifolds
F Shen, C Shen, Q Shi, A Hengel, Z Tang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
2392013
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