Publications
The three ghosts of medical AI: Can the black-box present deliver?
T Quinn, S Jacobs, M Senadeera, V Le, S Coghlan
(2022), Vol. 124, pp. 102158-102158, Artificial Intelligence in Medicine, Netherlands, C1
Real-Time Skill Discovery in Intelligent Virtual Assistants
P Gopal, S Gupta, S Rana, V Le, T Nguyen, S Venkatesh
(2022), Vol. 13280 LNAI, pp. 315-327, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1
Trust and medical AI: the challenges we face and the expertise needed to overcome them
T Quinn, M Senadeera, S Jacobs, S Coghlan, V Le
(2021), Vol. 28, pp. 890-894, Journal of the American Medical Informatics Association : JAMIA, Oxford, Eng., C1
Catherine Elliott, Caroline Alexander, Alison Salt, Alicia Spittle, Roslyn Boyd, Nadia Badawi, Catherine Morgan, Desiree Silva, Elizabeth Geelhoed, Robert Ware, Alishum Ali, Anne McKenzie, David Bloom, Mary Sharp, Roslyn Ward, Samudragupta Bora, Susan Prescott, Susan Woolfenden, Vuong Le, Sue-Anne Davidson, Ashleigh Thornton, Amy Finlay-Jones, Lynn Jensen, Natasha Amery, Jane Valentine
(2021), Vol. 11, pp. 1-9, BMJ Open, London, Eng., C1
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
(2021), Vol. 25, pp. 3911-3920, IEEE Journal of Biomedical and Health Informatics, United States, C1
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering
T Le, V Le, S Venkatesh, T Tran
(2021), Vol. 129, pp. 3027-3050, International Journal of Computer Vision, C1
Scalable Backdoor Detection in Neural Networks
H Harikumar, V Le, S Rana, S Bhattacharya, S Gupta, S Venkatesh
(2021), Vol. 12458, pp. 289-304, ECML PKDD 2020 : Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Belgium, Ghent, E1
Goal-driven long-term trajectory prediction
H Tran, V Le, T Tran
(2021), pp. 796-805, WACV 2021 : Proceedings of the IEEE Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, E1
Object-Centric Representation Learning for Video Question Answering
L Dang, T Le, V Le, T Tran
(2021), pp. 1-8, 2021 International Joint Conference on Neural Networks (IJCNN), Shenzhen, China, E1
Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering
L Dang, T Le, V Le, T Tran
(2021), pp. 636-642, IJCAI 2021 : Proceedings of the 30th International Joint Conference on Artificial Intelligence, Online from Montreal, Canada, E1
Learning asynchronous and sparse human-object interaction in videos
R Morais, V Le, S Venkatesh, T Tran
(2021), pp. 16036-16045, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, Tenn., E1
V Le, T Quinn, T Tran, S Venkatesh
(2020), Vol. 21, BMC Genomics, London, Eng., C1
Test set verification is an essential step in model building
Thomas Quinn, Vuong Le, Adam Cardilini
(2020), Vol. Early View, Methods in Ecology and Evolution, Chichester, Eng., C1
Dynamic Language Binding in Relational Visual Reasoning
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
(2020), pp. 818-824, IJCAI-PRICAI 2020 : Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, Online from Yokohama, Japan, E1
Neural Reasoning, Fast and Slow, for Video Question Answering
T Le, V Le, S Venkatesh, T Tran
(2020), pp. 1-8, IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Online from Glasgow, Scotland, E1
Hierarchical conditional relation networks for video question answering
T Le, V Le, S Venkatesh, T Tran
(2020), pp. 9969-9978, CVPR 2020 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Virtual from Seattle, Washington, E1
Learning regularity in skeleton trajectories for anomaly detection in videos
R Morais, V Le, T Tran, B Saha, M Mansour, S Venkatesh
(2019), pp. 11988-11996, CVPR 2019 : Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Beach, California, E1
D Gong, L Liu, V Le, B Saha, M Mansour, S Venkatesh, A Van Den Hengel
(2019), pp. 1705-1714, ICCV 2019 : Proceedings of the IEEE International Conference on Computer Vision, Seoul, South Korea, E1
A system for monitoring the engagement of remote online students using eye gaze estimation
P Khorrami, V Le, J Hart, T Huang
(2014), 2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014, Chengdu, PEOPLES R CHINA, E1-1
Accurate facial landmarks detection for frontal faces with extended tree-structured models
A Liang, W Liu, L Li, M Farid, V Le
(2014), pp. 538-543, Proceedings - International Conference on Pattern Recognition, E1-1
Recognizing emotions from an ensemble of features
U Tariq, K Lin, Z Li, X Zhou, Z Wang, V Le, T Huang, X Lv, T Han
(2012), Vol. 42, pp. 1017-1026, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, C1-1
Interactive facial feature localization
V Le, J Brandt, Z Lin, L Bourdev, T Huang
(2012), Vol. 7574 LNCS, pp. 679-692, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1
Expression recognition from 3D dynamic faces using robust spatio-temporal shape features
V Le, H Tang, T Huang
(2011), pp. 414-421, 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011, Santa Barbara, California, E1-1
Emotion recognition from an ensemble of features
U Tariq, K Lin, Z Li, X Zhou, Z Wang, V Le, T Huang, X Lv, T Han
(2011), pp. 872-877, 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011, Santa Barbara, CA, USA, E1-1
Accurate and efficient reconstruction of 3D faces from stereo images
V Le, H Tang, L Cao, T Huang
(2010), pp. 4265-4268, Proceedings - International Conference on Image Processing, ICIP, E1-1
A quantitative evaluation for 3D face reconstruction algorithms
V Le, Y Hu, T Huang
(2009), pp. 1269-1272, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, E1-1
Funded Projects at Deakin
No Funded Projects at Deakin found
Supervisions
Romero Fernando Almeida Barata De Morais
Thesis entitled: Human Behaviour Understanding in Computer Vision
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins
Thao Minh Le
Thesis entitled: Deep Neural Networks for Visual Reasoning
Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins