Chunhua Shen

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	All	Since 2015
Citations	22835	20693
h-index	72	67
i10-index	247	222

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200820092010201120122013201420152016201720182019202060 86 161 225 308 485 654 1066 1778 2499 3703 5269 6317

Co-authors

Anton van den HengelDirector, Australian Institute for Machine Learning, UoA | Director of Applied Science, AmazonVerified email at adelaide.edu.au
Guosheng LinNanyang Technological UniversityVerified email at ntu.edu.sg
Bohan ZhuangAssistant Professor, Monash UniversityVerified email at monash.edu
Zhi TianThe University of AdelaideVerified email at adelaide.edu.au
Tong HeThe University of AdelaideVerified email at adelaide.edu.au
Zhiguo CaoHuazhong University of Science and TechnologyVerified email at hust.edu.cn
Michael J BrooksProvost, University of AdelaideVerified email at adelaide.edu.au
Mingkui TanSouth China University of TechnologyVerified email at scut.edu.cn
David SuterProfessor Edith Cowan University and Adjunct Professor of Computer Science The University ofVerified email at ecu.edu.au
Jianxin Wu (吴建鑫)Professor, Nanjing UniversityVerified email at nju.edu.cn
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
Michael MilfordQUT Professor | Deputy Director, QUT Robotics Centre | Microsoft Fellow | Chief Investigator, ARCVerified email at qut.edu.au
Chao MaAssistant Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Ben UpcroftOxboticaVerified email at oxbotica.com
Mehrtash HarandiMonash UniversityVerified email at monash.edu
Fatih PorikliAustralian National University, HuaweiVerified email at anu.edu.au
Jian SunChief Scientist/Managing Director of Megvii (Face++)Verified email at megvii.com
Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn

Chunhua Shen

School of Computer Science, The University of Adelaide

Verified email at adelaide.edu.au - 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	1392	2017
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	1052*	2016
Supervised Discrete Hashing F Shen, C Shen, W Liu, HT Shen IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2015	789	2015
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	743	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	738	2013
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	732	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	686	2015
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Z Wu, C Shen, A Hengel Pattern Recognition, 2016	454	2016
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	426	2015
Real-time visual tracking using compressive sensing H Li, C Shen, Q Shi Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011	397	2011
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	376	2015
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	372	2014
FCOS: Fully Convolutional One-Stage Object Detection Z Tian, C Shen, H Chen, T He Proc. Int. Conf. Computer Vision (ICCV), 2019	366	2019
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	336	2016
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	318	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	267	2016
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	233	2018
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	221	2007
Inductive Hashing on Manifolds F Shen, C Shen, Q Shi, A Hengel, Z Tang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013	218	2013
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	205	2017

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