Anton van den Hengel

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Chunhua ShenVerified email at adelaide.edu.au
Anthony DickComputer Science, University of AdelaideVerified email at adelaide.edu.au
Professor Javen Qinfeng ShiDirector for Probabilistic Graphical Model Group, UoA | DeepSightX | Smarter RegionsVerified email at adelaide.edu.au
Qi WuSenior Lecturer (Assistant Professor), University of Adelaide, Adelaide, AustraliaVerified 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
Lingqiao LiuSenior Lecturer of the University of AdelaideVerified email at adelaide.edu.au
Damien TeneyIdiap Research InstituteVerified email at idiap.ch
Ian D ReidUniversity 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
Peng WangSchool of Computer Science, Northwestern Polytechnical University, ChinaVerified email at nwpu.edu.cn
Guosheng LinNanyang Technological UniversityVerified email at ntu.edu.sg
Xi Li（李玺）College of Computer Science, Zhejiang University, China;Verified email at zju.edu.cn
Dong GongThe University of AdelaideVerified email at adelaide.edu.au
Ehsan AbbasnejadAustralian Institute for Machine Learning, University of AdelaideVerified email at adelaide.edu.au
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Mingkui TanSouth China University of TechnologyVerified email at scut.edu.cn
Peng WangLecturer (Assistant Professor), University of WollongongVerified email at uow.edu.au
Yao LiMicrosoftVerified email at adelaide.edu.au
Guansong PangUniversity of AdelaideVerified 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	1327	2015
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	888	2016
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	813	2013
Wider or deeper: Revisiting the resnet model for visual recognition Z Wu, C Shen, A Van Den Hengel Pattern Recognition 90, 119-133, 2019	691	2019
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	518	2018
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	482	2015
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	471	2015
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	411	2014
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	402	2016
Is face recognition really a compressive sensing problem? Q Shi, A Eriksson, A Van Den Hengel, C Shen CVPR 2011, 553-560, 2011	340	2011
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	322	2016
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	288	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	288*	2012
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	270	2000
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	267	2007
Image captioning and visual question answering based on attributes and external knowledge Q Wu, C Shen, P Wang, A Dick, A Van Den Hengel IEEE transactions on pattern analysis and machine intelligence 40 (6), 1367-1381, 2017	253	2017
Graph-structured representations for visual question answering D Teney, L Liu, A van Den Hengel Proceedings of the IEEE conference on computer vision and pattern …, 2017	247	2017
Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection D Gong, L Liu, V Le, B Saha, MR Mansour, S Venkatesh, A Hengel Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	243	2019
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	241	2013
Visual question answering: A survey of methods and datasets Q Wu, D Teney, P Wang, C Shen, A Dick, A van den Hengel Computer Vision and Image Understanding 163, 21-40, 2017	237	2017

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