Dr Vuong Le

STAFF PROFILE

Position

Senior Research Lecturer

Faculty

Applied Artificial Intel Inst

Department

A2I2P

Campus

Geelong Waurn Ponds Campus

Contact

vuong.le@deakin.edu.au
+61 3 522 78287

Publications

Filter by

2022

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

journal article

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

conference
2021

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

journal article

Early Moves: a protocol for a population-based prospective cohort study to establish general movements as an early biomarker of cognitive impairment in infants

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

journal article

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

journal article

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

journal article

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

conference

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

conference

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

conference

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

conference

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

conference
2020

Deep in the bowel: highly interpretable neural encoder-decoder networks predict gut metabolites from gut microbiome

V Le, T Quinn, T Tran, S Venkatesh

(2020), Vol. 21, BMC Genomics, London, Eng., C1

journal article

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

journal article

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

conference

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

conference

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

conference
2019

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

conference

Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection

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

conference
2014

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

conference

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

conference
2012

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

journal article

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

conference
2011

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

conference

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

conference
2010

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

conference
2009

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

conference

Funded Projects at Deakin

No Funded Projects at Deakin found

Supervisions

Principal Supervisor
2021

Romero Fernando Almeida Barata De Morais

Thesis entitled: Human Behaviour Understanding in Computer Vision

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

Associate Supervisor
2021

Thao Minh Le

Thesis entitled: Deep Neural Networks for Visual Reasoning

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins