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
17592015
Wider or deeper: Revisiting the resnet model for visual recognition
Z Wu, C Shen, A Van Den Hengel
Pattern Recognition 90, 119-133, 2019
10562019
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
10332016
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
8632013
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
7982018
Deep learning for anomaly detection: A review
G Pang, C Shen, L Cao, AVD Hengel
ACM Computing Surveys (CSUR) 54 (2), 1-38, 2021
7412021
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
6682019
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
5772015
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
5192015
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
4742016
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
4532014
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
3792016
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
3712018
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
3542017
Is face recognition really a compressive sensing problem?
Q Shi, A Eriksson, A Van Den Hengel, C Shen
CVPR 2011, 553-560, 2011
3512011
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
3292017
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
3292017
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
3262017
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
3242017
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
308*2012
The system can't perform the operation now. Try again later.
Articles 1–20