| 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 | 1085 | 2012 |
| 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 | 876 | 2019 |
| 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 | 229 | 2019 |
| 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 | 171 | 2020 |
| 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 | 98 | 2011 |
| Image processing system for image rectification JP Tighe, V Van Le, GG Medioni US Patent 10,157,452, 2018 | 88 | 2018 |
| 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 | 70 | 2011 |
| 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 | 54 | 2012 |
| 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 | 47 | 2022 |
| 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 | 46 | 2020 |
| 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 | 36 | 2020 |
| 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 | 26 | 2021 |
| Methods and apparatus for automated facial feature localization JW Brandt, Z Lin, V Le US Patent 8,824,808, 2014 | 25 | 2014 |
| 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 | 23* | 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 | 23 | 2014 |
| 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 | 23 | 2014 |
| 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 | 21 | 2021 |
| Surveillance Event Detection. M Dikmen, H Ning, DJ Lin, L Cao, V Le, SF Tsai, KH Lin, Z Li, J Yang, ... TRECVID, 2008 | 21 | 2008 |
| Goal-driven Long-Term Trajectory Prediction H Tran, V Le, T Tran Winter Conference on Applications of Computer Vision (WACV) 2021, 2020 | 19 | 2020 |
| Learning Asynchronous and Sparse Human-Object Interaction in Videos R Morais, V Le, S Venkatesh, T Tran CVPR 2021, 2021 | 16 | 2021 |
Svetha VenkateshProfessor of Computer Science, Deakin UniversityVerified email at deakin.edu.au
