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The Three Ghosts of Medical AI: Can the Black-Box Present Deliver?

Dec 10, 2020
Thomas P. Quinn, Stephan Jacobs, Manisha Senadeera, Vuong Le, Simon Coghlan


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Goal-driven Long-Term Trajectory Prediction

Nov 06, 2020
Hung Tran, Vuong Le, Truyen Tran

* Accepted at WACV 2021 

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Hierarchical Conditional Relation Networks for Multimodal Video Question Answering

Oct 18, 2020
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

* 18 pages. arXiv admin note: substantial text overlap with arXiv:2002.10698 

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Learning to Abstract and Predict Human Actions

Aug 20, 2020
Romero Morais, Vuong Le, Truyen Tran, Svetha Venkatesh

* Accepted for publication in BMVC'20 

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Trust and Medical AI: The challenges we face and the expertise needed to overcome them

Aug 18, 2020
Thomas P. Quinn, Manisha Senadeera, Stephan Jacobs, Simon Coghlan, Vuong Le

* 6 pages, 2 figures 

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Scalable Backdoor Detection in Neural Networks

Jun 10, 2020
Haripriya Harikumar, Vuong Le, Santu Rana, Sourangshu Bhattacharya, Sunil Gupta, Svetha Venkatesh


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Dynamic Language Binding in Relational Visual Reasoning

Apr 30, 2020
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

* Early version accepted by IJCAI20 

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Hierarchical Conditional Relation Networks for Video Question Answering

Mar 17, 2020
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

* CVPR 2020, Oral 
* Check out our code on GitHub at https://github.com/thaolmk54/hcrn-videoqa 

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Learning to Reason with Relational Video Representation for Question Answering

Jul 10, 2019
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran


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Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection

Apr 04, 2019
Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel


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Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos

Mar 08, 2019
Romero Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Mansour, Svetha Venkatesh

* Accepted for publication in CVPR'19 

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