Anton van den Hengel
Anton van den Hengel
Professor of Machine Learning, University of Adelaide
Verified email at adelaide.edu.au - Homepage
TitleCited byYear
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), 58, 2013
6192013
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
6012015
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
5172016
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
3512015
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
3002014
Is face recognition really a compressive sensing problem?
Q Shi, A Eriksson, A Van Den Hengel, C Shen
CVPR 2011, 553-560, 2011
2982011
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, 2007
2472007
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
2442000
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
2412015
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
2322016
Wider or deeper: Revisiting the resnet model for visual recognition
Z Wu, C Shen, A Van Den Hengel
Pattern Recognition 90, 119-133, 2019
2192019
Part-based visual tracking with online latent structural learning
R Yao, Q Shi, C Shen, Y Zhang, A Van Den Hengel
Proceedings of the IEEE conference on computer vision and pattern …, 2013
1942013
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
1882013
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
1852016
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
A Eriksson, A Van Den Hengel
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
1802010
A general two-step approach to learning-based hashing
G Lin, C Shen, D Suter, A Van Den Hengel
Proceedings of the IEEE international conference on computer vision, 2552-2559, 2013
1512013
Contextual hypergraph modeling for salient object detection
X Li, Y Li, C Shen, A Dick, A Van Den Hengel
Proceedings of the IEEE international conference on computer vision, 3328-3335, 2013
1482013
Strengthening the effectiveness of pedestrian detection with spatially pooled features
S Paisitkriangkrai, C Shen, A Van Den Hengel
European conference on computer vision, 546-561, 2014
1462014
Fast global kernel density mode seeking: Applications to localization and tracking
C Shen, MJ Brooks, A Van Den Hengel
IEEE Transactions on Image Processing 16 (5), 1457-1469, 2007
1462007
Predicting human eye fixations via an lstm-based saliency attentive model
M Cornia, L Baraldi, G Serra, R Cucchiara
IEEE Transactions on Image Processing 27 (10), 5142-5154, 2018
144*2018
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