Anton van den Hengel - Google Scholar

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	All	Since 2015
Citations	14138	11862
h-index	58	53
i10-index	162	138

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Chunhua ShenSchool of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Anthony DickComputer Science, University of AdelaideVerified email at adelaide.edu.au
Professor Javen Qinfeng Shi 史勤峰Director and Founder, Probabilistic Graphical Model Group, Professor of University of AdelaideVerified email at adelaide.edu.au
Michael J BrooksProvost, University of AdelaideVerified email at adelaide.edu.au
Wojciech ChojnackiResearcher, Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Qi WuSenior Lecturer (Assistant Professor), University of Adelaide, Adelaide, AustraliaVerified email at adelaide.edu.au
Lingqiao LiuSenior Lecturer of the University of AdelaideVerified email at adelaide.edu.au
Sakrapee PaisitkriangkraiPostdoctoral research fellow, Australian Centre for Visual Technologies, The 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
Peng WangSchool of Computer Science, Northwestern Polytechnical University, ChinaVerified email at nwpu.edu.cn
Damien TeneyUniversity of Adelaide, Australian Institute for Machine Learning (AIML)Verified email at adelaide.edu.au
Xi Li（李玺）College of Computer Science, Zhejiang University, China;Verified email at zju.edu.cn
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Dong GongThe University of AdelaideVerified email at adelaide.edu.au
Yao LiMicrosoftVerified email at adelaide.edu.au
Mingkui TanSouth China University of TechnologyVerified email at scut.edu.cn
Ehsan AbbasnejadAustralian Institute for Machine Learning, University of AdelaideVerified email at adelaide.edu.au
Peng WangLecturer (Assistant Professor), University of WollongongVerified email at uow.edu.au
Zygmunt L. SzpakResearch Associate, School of Computer Science, The University of Adelaide Verified email at adelaide.edu.au

Anton van den Hengel

Director, Australian Institute for Machine Learning, UoA | Director of Applied Science, Amazon

Verified email at adelaide.edu.au - Homepage

Computer Vision Machine Learning Visual Question Answering


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Image-based recommendations on styles and substitutes J McAuley, C Targett, Q Shi, A Van Den Hengel Proceedings of the 38th international ACM SIGIR conference on research and …, 2015	872	2015
A survey of appearance models in visual object tracking X Li, W Hu, C Shen, Z Zhang, A Dick, AVD Hengel ACM transactions on Intelligent Systems and Technology (TIST) 4 (4), 1-48, 2013	709	2013
Efficient piecewise training of deep structured models for semantic segmentation G Lin, C Shen, A Van Den Hengel, I Reid Proceedings of the IEEE conference on computer vision and pattern …, 2016	669	2016
Learning to rank in person re-identification with metric ensembles S Paisitkriangkrai, C Shen, A Van Den Hengel Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	404	2015
Wider or deeper: Revisiting the resnet model for visual recognition Z Wu, C Shen, A Van Den Hengel Pattern Recognition 90, 119-133, 2019	386	2019
Fast supervised hashing with decision trees for high-dimensional data G Lin, C Shen, Q Shi, A Van den Hengel, D Suter Proceedings of the IEEE Conference on Computer Vision and Pattern …, 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 CVPR 2011, 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 Proceedings of the IEEE conference on computer vision and pattern …, 2016	306	2016
Predicting human eye fixations via an lstm-based saliency attentive model M Cornia, L Baraldi, G Serra, R Cucchiara IEEE Transactions on Image Processing 27 (10), 5142-5154, 2018	265*	2018
Efficient computation of robust weighted low-rank matrix approximations using the L_1 norm A Eriksson, A van den Hengel IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (9), 1681-1690, 2012	260*	2012
Videotrace: rapid interactive scene modelling from video A Van Den Hengel, A Dick, T Thormählen, B Ward, PHS Torr ACM Transactions on Graphics (ToG) 26 (3), 86-es, 2007	258	2007
On the fitting of surfaces to data with covariances W Chojnacki, MJ Brooks, A Van Den Hengel, D Gawley IEEE Transactions on pattern analysis and machine intelligence 22 (11), 1294 …, 2000	252	2000
Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments P Anderson, Q Wu, D Teney, J Bruce, M Johnson, N Sünderhauf, I Reid, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	244	2018
Ask me anything: Free-form visual question answering based on knowledge from external sources Q Wu, P Wang, C Shen, A Dick, A Van Den Hengel Proceedings of the IEEE conference on computer vision and pattern …, 2016	243	2016
Inductive hashing on manifolds F Shen, C Shen, Q Shi, A Van Den Hengel, Z Tang Proceedings of the IEEE conference on computer vision and pattern …, 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
Tips and tricks for visual question answering: Learnings from the 2017 challenge D Teney, P Anderson, X He, A Van Den Hengel Proceedings of the IEEE conference on computer vision and pattern …, 2018	179	2018
A general two-step approach to learning-based hashing G Lin, C Shen, D Suter, A Van Den Hengel Proceedings of the IEEE international conference on computer vision, 2552-2559, 2013	174	2013
Personnet: Person re-identification with deep convolutional neural networks L Wu, C Shen, A Hengel arXiv preprint arXiv:1601.07255, 2016	170	2016

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