activity
20192025
most citedMemorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection

143 citations · 222 across the 15 of their papers we have counts for

collaborators
Showing 2020Show all

8 papers · 1 filter

cs.AI2020★ 2 cited

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

Thomas P. Quinn, Stephan Jacobs, Manisha Senadeera +2

Our title alludes to the three Christmas ghosts encountered by Ebenezer Scrooge in \textit{A Christmas Carol}, who guide Ebenezer through the past, present, and future of Christmas…

cs.CV2020

Goal-driven Long-Term Trajectory Prediction

Hung Tran, Vuong Le, Truyen Tran

The prediction of humans' short-term trajectories has advanced significantly with the use of powerful sequential modeling and rich environment feature extraction. However, long-ter…

cs.CV2020

Hierarchical Conditional Relation Networks for Multimodal Video Question Answering

Thao Minh Le, Vuong Le, Svetha Venkatesh +1

Video QA challenges modelers in multiple fronts. Modeling video necessitates building not only spatio-temporal models for the dynamic visual channel but also multimodal structures…

cs.CV2020★ 2 cited

Learning to Abstract and Predict Human Actions

Romero Morais, Vuong Le, Truyen Tran +1

Human activities are naturally structured as hierarchies unrolled over time. For action prediction, temporal relations in event sequences are widely exploited by current methods wh…

cs.AI2020★ 4 cited

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

Thomas P. Quinn, Manisha Senadeera, Stephan Jacobs +2

Artificial intelligence (AI) is increasingly of tremendous interest in the medical field. However, failures of medical AI could have serious consequences for both clinical outcomes…

cs.CV2020

Scalable Backdoor Detection in Neural Networks

Haripriya Harikumar, Vuong Le, Santu Rana +3

Recently, it has been shown that deep learning models are vulnerable to Trojan attacks, where an attacker can install a backdoor during training time to make the resultant model mi…

cs.CV2020

Dynamic Language Binding in Relational Visual Reasoning

Thao Minh Le, Vuong Le, Svetha Venkatesh +1

We present Language-binding Object Graph Network, the first neural reasoning method with dynamic relational structures across both visual and textual domains with applications in v…

cs.CV2020

Hierarchical Conditional Relation Networks for Video Question Answering

Thao Minh Le, Vuong Le, Svetha Venkatesh +1

Video question answering (VideoQA) is challenging as it requires modeling capacity to distill dynamic visual artifacts and distant relations and to associate them with linguistic c…