Anton van den Hengel

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Chunhua ShenZhejiang UniversityDirección de correo verificada de zju.edu.cn
Professor Javen Qinfeng ShiDirector for Causal AI Group, University of AdelaideDirección de correo verificada de adelaide.edu.au
Anthony DickComputer Science, University of AdelaideDirección de correo verificada de adelaide.edu.au
Qi WuAssociate Professor, University of Adelaide, Adelaide, AustraliaDirección de correo verificada de adelaide.edu.au
Lingqiao LiuAssociate Professor at the University of AdelaideDirección de correo verificada de adelaide.edu.au
Michael J BrooksEmeritus Professor, University of AdelaideDirección de correo verificada de adelaide.edu.au
Wojciech ChojnackiResearcher, Computer Science, The University of AdelaideDirección de correo verificada de adelaide.edu.au
Dong GongUniversity of New South Wales (UNSW)Dirección de correo verificada de unsw.edu.au
Damien TeneyIdiap Research InstituteDirección de correo verificada de idiap.ch
Ehsan AbbasnejadAustralian Institute for Machine Learning, University of AdelaideDirección de correo verificada de adelaide.edu.au
Ian D ReidMohammad Bin Zayed University of Artificial Intelligence and University of AdelaideDirección de correo verificada de adelaide.edu.au
Guansong PangAssistant Professor of Computer Science, Singapore Management UniversityDirección de correo verificada de smu.edu.sg
Sakrapee PaisitkriangkraiPostdoctoral research fellow, Australian Centre for Visual Technologies, The University of AdelaideDirección de correo verificada de adelaide.edu.au
Peng WangSchool of Computer Science, Northwestern Polytechnical University, ChinaDirección de correo verificada de nwpu.edu.cn
Guosheng LinNanyang Technological UniversityDirección de correo verificada de ntu.edu.sg
Xi Li（李玺）College of Computer Science, Zhejiang University, China;Dirección de correo verificada de zju.edu.cn
Dr Henry DetmoldDirección de correo verificada de acm.org
Longbing CaoDistinguished Chair Professor in AI & ARC Future Fellow (Level 3), Macquarie UniversityDirección de correo verificada de mq.edu.au
Wei Weinorthwestern polytechnic universityDirección de correo verificada de nwpu.edu.cn
Philip TorrProfessor, University of OxfordDirección de correo verificada de eng.ox.ac.uk

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Anton van den Hengel

Director of the Centre for Augmented Reasoning at AIML.

Dirección de correo verificada de adelaide.edu.au

Computer Vision Machine Learning Visual Question Answering


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	2416	2015
Deep learning for anomaly detection: A review G Pang, C Shen, L Cao, AVD Hengel ACM computing surveys (CSUR) 54 (2), 1-38, 2021	1781	2021
Wider or deeper: Revisiting the resnet model for visual recognition Z Wu, C Shen, A Van Den Hengel Pattern recognition 90, 119-133, 2019	1558	2019
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	1306	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	1227	2018
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	1174	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	898	2013
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	667	2015
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	534	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 Proceedings of the IEEE conference on computer vision and pattern …, 2016	531	2016
Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs JI Orlando, H Fu, JB Breda, K Van Keer, DR Bathula, A Diaz-Pinto, ... Medical image analysis 59, 101570, 2020	522	2020
Fvqa: Fact-based visual question answering P Wang, Q Wu, C Shen, A Dick, A Van Den Hengel IEEE transactions on pattern analysis and machine intelligence 40 (10), 2413 …, 2017	499	2017
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	484	2014
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	464	2017
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	456	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	442	2016
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	440	2017
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	433	2017
From motion blur to motion flow: A deep learning solution for removing heterogeneous motion blur D Gong, J Yang, L Liu, Y Zhang, I Reid, C Shen, A Van Den Hengel, Q Shi Proceedings of the IEEE conference on computer vision and pattern …, 2017	432	2017
Is face recognition really a compressive sensing problem? Q Shi, A Eriksson, A Van Den Hengel, C Shen CVPR 2011, 553-560, 2011	361	2011

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