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Vuong Le
Vuong Le
Verified email at deakin.edu.au - Homepage
Title
Cited by
Cited by
Year
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
ICCV 2019, 2019
15452019
Interactive facial feature localization
V Le, J Brandt, Z Lin, L Bourdev, TS Huang
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
12132012
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
R Morais, V Le, T Tran, B Saha, M Mansour, S Venkatesh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
3432019
Hierarchical Conditional Relation Networks for Video Question Answering
TM Le, V Le, S Venkatesh, T Tran
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2992020
The three ghosts of medical AI: Can the black-box present deliver?
TP Quinn, S Jacobs, M Senadeera, V Le, S Coghlan
Artificial intelligence in medicine 124, 102158, 2022
1302022
Trust and medical AI: the challenges we face and the expertise needed to overcome them
TP Quinn, M Senadeera, S Jacobs, S Coghlan, V Le
Journal of the American Medical Informatics Association, 2020
1152020
Image processing system for image rectification
JP Tighe, V Van Le, GG Medioni
US Patent 10,157,452, 2018
1152018
Expression recognition from 3D dynamic faces using robust spatio-temporal shape features
V Le, H Tang, TS Huang
2011 IEEE International Conference on Automatic Face & Gesture Recognition …, 2011
1002011
Emotion recognition from an ensemble of features
U Tariq, KH Lin, Z Li, X Zhou, Z Wang, V Le, TS Huang, X Lv, TX Han
2011 IEEE International Conference on Automatic Face & Gesture Recognition …, 2011
732011
Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering
LH Dang, TM Le, V Le, T Tran
International Joint Conference on Artificial Intelligence - IJCAI 2021, 2021
632021
Recognizing emotions from an ensemble of features
U Tariq, KH Lin, Z Li, X Zhou, Z Wang, V Le, TS Huang, X Lv, TX Han
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2012
562012
Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Networks Predict Gut Metabolites from Gut Microbiome
V Le, TP Quinn, T Tran, S Venkatesh
BMC Genomics, 2020
512020
Hengel Avd (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
Proceedings of the IEEE/CVF international conference on computer vision …, 0
49
A spatio-temporal attention-based model for infant movement assessment from videos
B Nguyen-Thai, V Le, C Morgan, N Badawi, T Tran, S Venkatesh
IEEE journal of biomedical and health informatics 25 (10), 3911-3920, 2021
432021
Learning Asynchronous and Sparse Human-Object Interaction in Videos
R Morais, V Le, S Venkatesh, T Tran
CVPR 2021, 2021
412021
Goal-driven Long-Term Trajectory Prediction
H Tran, V Le, T Tran
Winter Conference on Applications of Computer Vision (WACV) 2021, 2020
412020
Methods and apparatus for automated facial feature localization
JW Brandt, Z Lin, V Le
US Patent 8,824,808, 2014
292014
A system for monitoring the engagement of remote online students using eye gaze estimation
P Khorrami, V Le, JC Hart, TS Huang
2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-6, 2014
262014
Neural Reasoning, Fast and Slow, for Video Question Answering
TM Le, V Le, S Venkatesh, T Tran
International Joint Conference on Neural Networks (IJCNN'20), 2019
25*2019
Accurate facial landmarks detection for frontal faces with extended tree-structured models
A Liang, W Liu, L Li, MR Farid, V Le
2014 22nd International Conference on Pattern Recognition, 538-543, 2014
252014
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Articles 1–20