Chunhua Shen

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Anton van den HengelDirector of Applied Science at Amazon and Director of the Centre for Augmented Reasoning at AIML.Verified email at adelaide.edu.au
Guosheng LinNanyang Technological UniversityVerified email at ntu.edu.sg
Zhi TianThe University of AdelaideVerified email at adelaide.edu.au
Hao ChenZhejiang UniversityVerified email at zju.edu.cn
Tong He (贺通)Shanghai AI LaboratoryVerified email at pjlab.org.cn
Bohan ZhuangAssistant Professor, Monash UniversityVerified email at monash.edu
Zhiguo CaoHuazhong University of Science and TechnologyVerified email at hust.edu.cn
Mingkui TanSouth China University of TechnologyVerified email at scut.edu.cn
Michael J BrooksEmeritus Professor, University of AdelaideVerified email at adelaide.edu.au
Jianxin Wu (吴建鑫)Professor, Nanjing UniversityVerified email at nju.edu.cn
David SuterProf. Edith Cowan UniversityVerified email at ecu.edu.au
Vladimir NekrasovPhD researcher, University of Adelaide, AustraliaVerified email at adelaide.edu.au
Weiming HuNLPRVerified email at nlpr.ia.ac.cn
Richard HartleyAustralian National University, National ICT Australia (NICTA)Verified email at anu.edu.au
Verjans JohanAustralian Institute for Machine Learning, University of Adelaide / South Australian Health andVerified email at adelaide.edu.au
Michael MilfordQUT Professor | Joint Director, QUT Robotics Centre | ARC Laureate Fellow | Microsoft FellowVerified email at qut.edu.au
Chao MaAssociate Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Ben UpcroftOxboticaVerified email at oxbotica.com
Cheng YanBeihang UniversityVerified email at buaa.edu.cn
Mehrtash HarandiDepartment of Electrical and Computer Systems Engineering, Monash UniversityVerified email at monash.edu

Chunhua Shen

Zhejiang University

Verified email at zju.edu.cn - Homepage

Computer Vision Machine Learning


Title Sort by citations Sort by year Sort by 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	2407	2017
FCOS: Fully Convolutional One-Stage Object Detection Z Tian, C Shen, H Chen, T He Proc. Int. Conf. Computer Vision (ICCV), 2019	2128	2019
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	1706*	2016
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 (TPAMI), 2016	1085	2016
Supervised Discrete Hashing F Shen, C Shen, W Liu, HT Shen IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2015	1041	2015
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	986	2016
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	920	2015
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Z Wu, C Shen, A Hengel Pattern Recognition, 2016	896	2016
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	846	2013
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	546	2015
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	514*	2020
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	507	2015
Deep Learning for Anomaly Detection: A Review G Pang, C Shen, L Cao, AVD Hengel ACM Computing Surveys (CSUR) 54 (2), 1-38, 2021	462	2021
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	458	2016
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	435	2014
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	433	2018
Real-time visual tracking using compressive sensing H Li, C Shen, Q Shi IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 1305-1312, 2011	419	2011
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	357	2016
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	355	2018
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	350	2011

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