Surveillance Event Detection. - Mert Dikmen; Huazhong Ning; Dennis J. Lin; Liangliang Cao; Vuong Le; Shen-Fu Tsai; Kai-Hsiang Lin; Zhen Li 028; Jianchao Yang; Thomas S. Huang; Fengjun Lv; Wei Xu 007; et al. (TRECVID, 2008)

A quantitative evaluation for 3D face reconstruction algorithms. - Vuong Le; Yuxiao Hu 001; Thomas S. Huang (ICASSP, 2009)

Accurate and efficient reconstruction of 3D faces from stereo images. - Vuong Le; Hao Tang 001; Liangliang Cao; Thomas S. Huang (ICIP, 2010)

Human-Computer Interaction. - Dennis J. Lin; Vuong Le; Thomas S. Huang (Visual Analysis of Humans, 2011)

Expression recognition from 3D dynamic faces using robust spatio-temporal shape features. - Vuong Le; Hao Tang 001; Thomas S. Huang (FG, 2011)

Emotion recognition from an ensemble of features. - Usman Tariq; Kai-Hsiang Lin; Zhen Li 028; Xi Zhou; Zhaowen Wang; Vuong Le; Thomas S. Huang; Xutao Lv; Tony X. Han (FG, 2011)

Interactive Facial Feature Localization. - Vuong Le; Jonathan Brandt; Zhe Lin 001; Lubomir D. Bourdev; Thomas S. Huang (ECCV (3), 2012)

Recognizing Emotions From an Ensemble of Features. - Usman Tariq; Kai-Hsiang Lin; Zhen Li 028; Xi Zhou; Zhaowen Wang; Vuong Le; Thomas S. Huang; Xutao Lv; Tony X. Han (IEEE Trans. Syst. Man Cybern. Part B, 2012)

A system for monitoring the engagement of remote online students using eye gaze estimation. - Pooya Khorrami; Vuong Le; John C. Hart; Thomas S. Huang (ICME Workshops, 2014)

Accurate Facial Landmarks Detection for Frontal Faces with Extended Tree-Structured Models. - Antoni Liang; Wanquan Liu; Ling Li 006; Mir Rizwan Farid; Vuong Le (ICPR, 2014)

Visual Media: History and Perspectives. - Thomas S. Huang; Vuong Le; Thomas Paine; Pooya Khorrami; Usman Tariq (IEEE Multim., 2014)

3D face processing for animation and biometrics - Vuong Le (2014)

Face Processing and Applications to Distance Learning - Vuong Le; Pooya Khorrami; Usman Tariq; Hao Tang 001; Thomas S. Huang (WorldScientific, 2016)

Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. - Romero F. A. B. de Morais; Vuong Le; Truyen Tran 001; Budhaditya Saha; Moussa Reda Mansour; Svetha Venkatesh (CVPR, 2019)

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection. - Dong Gong; Lingqiao Liu; Vuong Le; Budhaditya Saha; Moussa Reda Mansour; Svetha Venkatesh; Anton van den Hengel (ICCV, 2019)

Learning to Reason with Relational Video Representation for Question Answering. - Thao Minh Le; Vuong Le; Svetha Venkatesh; Truyen Tran 001 (CoRR, 2019)

Learning to Abstract and Predict Human Actions. - Romero F. A. B. de Morais; Vuong Le; Truyen Tran 001; Svetha Venkatesh (BMVC, 2020)

Hierarchical Conditional Relation Networks for Video Question Answering. - Thao Minh Le; Vuong Le; Svetha Venkatesh; Truyen Tran 001 (CVPR, 2020)

Dynamic Language Binding in Relational Visual Reasoning. - Thao Minh Le; Vuong Le; Svetha Venkatesh; Truyen Tran 001 (IJCAI, 2020)

Neural Reasoning, Fast and Slow, for Video Question Answering. - Thao Minh Le; Vuong Le; Svetha Venkatesh; Truyen Tran 001 (IJCNN, 2020)

Scalable Backdoor Detection in Neural Networks. - Haripriya Harikumar; Vuong Le; Santu Rana; Sourangshu Bhattacharya; Sunil Gupta 001; Svetha Venkatesh (ECML/PKDD (2), 2020)

Learning Asynchronous and Sparse Human-Object Interaction in Videos. - Romero F. A. B. de Morais; Vuong Le; Svetha Venkatesh; Truyen Tran 001 (CVPR, 2021)

Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering. - Long Hoang Dang; Thao Minh Le; Vuong Le; Truyen Tran 001 (IJCAI, 2021)

Object-Centric Representation Learning for Video Question Answering. - Long Hoang Dang; Thao Minh Le; Vuong Le; Truyen Tran 001 (IJCNN, 2021)

From Deep Learning to Deep Reasoning. - Truyen Tran 001; Vuong Le; Hung Le 002; Thao Minh Le (KDD, 2021)

Goal-driven Long-Term Trajectory Prediction. - Hung Tran; Vuong Le; Truyen Tran 001 (WACV, 2021)

A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research. - Thomas P. Quinn; Sunil Gupta 001; Svetha Venkatesh; Vuong Le (CoRR, 2021)

Hierarchical Conditional Relation Networks for Multimodal Video Question Answering. - Thao Minh Le; Vuong Le; Svetha Venkatesh; Truyen Tran 001 (Int. J. Comput. Vis., 2021)

Trust and medical AI: the challenges we face and the expertise needed to overcome them. - Thomas P. Quinn; Manisha Senadeera; Stephan Jacobs; Simon Coghlan; Vuong Le (J. Am. Medical Informatics Assoc., 2021)

A Spatio-Temporal Attention-Based Model for Infant Movement Assessment From Videos. - Binh Nguyen-Thai; Vuong Le; Catherine Morgan; Nadia Badawi; Truyen Tran 001; Svetha Venkatesh (IEEE J. Biomed. Health Informatics, 2021)

Persistent-Transient Duality in Human Behavior Modeling. - Hung Tran; Vuong Le; Svetha Venkatesh; Truyen Tran 001 (CVPR Workshops, 2022)

Video Dialog as Conversation About Objects Living in Space-Time. - Hoang-Anh Pham; Thao Minh Le; Vuong Le; Tu Minh Phuong; Truyen Tran 001 (ECCV (39), 2022)

Semantic Control of Generative Musical Attributes. - Stewart Greenhill; Majid Abdolshah; Vuong Le; Sunil Gupta 001; Svetha Venkatesh (ISMIR, 2022)

Real-Time Skill Discovery in Intelligent Virtual Assistants. - Preeti Gopal; Sunil Gupta 001; Santu Rana; Vuong Le; Trong Nguyen; Svetha Venkatesh (PAKDD (1), 2022)

The three ghosts of medical AI: Can the black-box present deliver? - Thomas P. Quinn; Stephan Jacobs; Manisha Senadeera; Vuong Le; Simon Coghlan (Artif. Intell. Medicine, 2022)

Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction. - Hung Tran; Vuong Le; Svetha Venkatesh; Truyen Tran 001 (ICCV, 2023)

Guiding Visual Question Answering with Attention Priors. - Thao Minh Le; Vuong Le; Sunil Gupta 001; Svetha Venkatesh; Truyen Tran 001 (WACV, 2023)

Robust and Interpretable General Movement Assessment Using Fidgety Movement Detection. - Romero F. A. B. de Morais; Vuong Le; Catherine Morgan; Alicia J. Spittle; Nadia Badawi; Jane Valentine; Elizabeth M. Hurrion; Paul A Dawson; Truyen Tran 001; Svetha Venkatesh (IEEE J. Biomed. Health Informatics, 2023)

SADL: An Effective In-Context Learning Method for Compositional Visual QA. - Long Hoang Dang; Thao Minh Le; Vuong Le; Tu Minh Phuong; Truyen Tran 001 (CoRR, 2024)

Learning evolving relations for multivariate time series forecasting. - Binh Nguyen-Thai; Vuong Le; Ngoc-Dung T. Tieu; Truyen Tran 001; Svetha Venkatesh; Naeem Ramzan (Appl. Intell., 2024)

Finding the Trigger: Causal Abductive Reasoning on Video Events. - Thao Minh Le; Vuong Le; Kien Do; Sunil Gupta 001; Svetha Venkatesh; Truyen Tran 001 (CoRR, 2025)

Fine-Grained Fidgety Movement Classification Using Active Learning. - Romero F. A. B. de Morais; Truyen Tran 001; Caroline Alexander; Natasha Amery; Catherine Morgan; Alicia J. Spittle; Vuong Le; Nadia Badawi; Alison Salt; Jane Valentine; Catherine Elliott; Elizabeth M. Hurrion; et al. (IEEE J. Biomed. Health Informatics, 2025)