Chunhua Shen - Google Scholar Citations

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	All	Since 2014
Citations	15371	13954
h-index	63	58
i10-index	194	174

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Co-authors

Anton van den HengelProfessor of Machine Learning, University of AdelaideVerified email at adelaide.edu.au
Ian D ReidUniversity of AdelaideVerified email at adelaide.edu.au
Guosheng LinNanyang Technological UniversityVerified email at ntu.edu.sg
Lingqiao LiuSenior Lecturer of the University of AdelaideVerified email at adelaide.edu.au
Anthony DickComputer Science, University of AdelaideVerified email at adelaide.edu.au
Qi WuSenior Lecturer (Assistant Professor), University of Adelaide, Adelaide, AustraliaVerified email at adelaide.edu.au
Fayao LiuUniversity of AdelaideVerified email at adelaide.edu.au
Lei WangSchool of Computing and Information Technology, University of WollongongVerified email at uow.edu.au
Bohan ZhuangSenior Research Fellow, The University of AdelaideVerified email at adelaide.edu.au
Michael J BrooksDeputy Vice-Chancellor Research, University of AdelaideVerified email at adelaide.edu.au
Hui Lithe University of AdelaideVerified email at adelaide.edu.au
David SuterProfessor Edith Cowan University and Adjunct Professor of Computer Science The University ofVerified email at ecu.edu.au
Zhiguo CaoHuazhong University of Science and TechnologyVerified email at hust.edu.cn
Jianxin Wu (吴建鑫)Professor, Nanjing UniversityVerified email at nju.edu.cn
Mingkui TanSouth China University of TechnologyVerified email at scut.edu.cn
Anton Milan (Andriyenko)AmazonVerified email at amazon.com
Weiming HuNLPRVerified email at nlpr.ia.ac.cn
Richard HartleyAustralian National University, National ICT Australia (NICTA)Verified email at anu.edu.au
Dong GongThe University of AdelaideVerified email at adelaide.edu.au
Tong ShenThe University of AdelaideVerified email at adelaide.edu.au

Chunhua Shen

School of Computer Science, The University of Adelaide

Verified email at adelaide.edu.au - Homepage

Computer Vision Machine Learning


Title	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	761	2017
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	643	2013
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	619*	2016
Supervised Discrete Hashing F Shen, C Shen, W Liu, HT Shen IEEE Conf. Computer Vision and Pattern Recognition, 2015	606	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	559	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, 2015	495	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	475	2016
Real-time visual tracking using compressive sensing H Li, C Shen, Q Shi Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011	373	2011
Learning to rank in person re-identification with metric ensembles S Paisitkriangkrai, C Shen, A Hengel IEEE Conf. Computer Vision and Pattern Recognition, 2015	368	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, 2014	314	2014
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	308	2011
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Z Wu, C Shen, A Hengel Pattern Recognition, 2016	260	2016
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	259	2015
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	253	2016
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	210	2007
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	203	2016
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	200	2013
Inductive Hashing on Manifolds F Shen, C Shen, Q Shi, A Hengel, Z Tang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013	195	2013
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	171	2008
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	155	2013

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