Follow
Anton van den Hengel
Anton van den Hengel
Director of Applied Science at Amazon and Director of the Centre for Augmented Reasoning at AIML.
Verified email at adelaide.edu.au
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
23432015
Deep learning for anomaly detection: A review
G Pang, C Shen, L Cao, AVD Hengel
ACM computing surveys (CSUR) 54 (2), 1-38, 2021
16652021
Wider or deeper: Revisiting the resnet model for visual recognition
Z Wu, C Shen, A Van Den Hengel
Pattern Recognition 90, 119-133, 2019
15212019
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
12152019
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
11782018
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
11572016
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
9262013
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
6602015
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
5362015
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
5312016
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
5062020
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
4812017
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
4772014
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
4522017
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
4462018
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
4392016
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
4312017
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
4222017
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
4162017
Is face recognition really a compressive sensing problem?
Q Shi, A Eriksson, A Van Den Hengel, C Shen
CVPR 2011, 553-560, 2011
3572011
The system can't perform the operation now. Try again later.
Articles 1–20