Chunhua Shen - Google Scholar

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Citations	19822	17725
h-index	69	62
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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
Lingqiao LiuSenior Lecturer of the University of AdelaideVerified email at adelaide.edu.au
Anthony DickComputer Science, University of AdelaideVerified 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 ZhuangAssistant Professor, Monash UniversityVerified email at monash.edu
Zhi TianThe University of AdelaideVerified email at adelaide.edu.au
Michael J BrooksProvost, University of AdelaideVerified email at adelaide.edu.au
Hui Lithe 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
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
Dong GongThe University of AdelaideVerified email at adelaide.edu.au
Jianxin Wu (吴建鑫)Professor, Nanjing UniversityVerified email at nju.edu.cn
Anton Milan (Andriyenko)AmazonVerified email at amazon.com
Weiming HuNLPRVerified email at nlpr.ia.ac.cn
Vladimir NekrasovPhD researcher, University of Adelaide, AustraliaVerified email at adelaide.edu.au
Richard HartleyAustralian National University, National ICT Australia (NICTA)Verified email at anu.edu.au

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	1158	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	896*	2016
Supervised Discrete Hashing F Shen, C Shen, W Liu, HT Shen IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2015	732	2015
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	709	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	669	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, 2016	635	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	606	2015
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	404	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	387	2011
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Z Wu, C Shen, A Hengel Pattern Recognition, 2016	386	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	358	2014
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	336	2015
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	316	2011
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	313	2016
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	243	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	219	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	211	2013
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	204	2013
FCOS: Fully Convolutional One-Stage Object Detection Z Tian, C Shen, H Chen, T He Proc. Int. Conf. Computer Vision (ICCV), 2019	187	2019
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	181	2018

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