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Anton van den Hengel
Anton van den Hengel
Director of the Centre for Augmented Reasoning at AIML.
Подтвержден адрес электронной почты в домене adelaide.edu.au
Название
Процитировано
Процитировано
Год
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
28102015
Deep learning for anomaly detection: A review
G Pang, C Shen, L Cao, AVD Hengel
ACM computing surveys (CSUR) 54 (2), 1-38, 2021
25642021
Wider or deeper: Revisiting the resnet model for visual recognition
Z Wu, C Shen, A Van Den Hengel
Pattern recognition 90, 119-133, 2019
18282019
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
17152019
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
14922018
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
12082016
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
9432013
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
7402015
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
6832020
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
5782017
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
5582016
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
5432015
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
5112017
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
5022017
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
4972014
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
4932017
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
4922018
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
4842017
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
4722016
Deep anomaly detection with deviation networks
G Pang, C Shen, A Van Den Hengel
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
4332019
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