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 2021Show all

5 papers · 1 filter

cs.LG2021★ 1 cited

A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research

Thomas P Quinn, Sunil Gupta, Svetha Venkatesh +1

Deep learning has become popular because of its potential to achieve high accuracy in prediction tasks. However, accuracy is not always the only goal of statistical modelling, espe…

cs.CV2021★ 6 cited

Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering

Long Hoang Dang, Thao Minh Le, Vuong Le +1

Video Question Answering (Video QA) is a powerful testbed to develop new AI capabilities. This task necessitates learning to reason about objects, relations, and events across visu…

cs.CV2021★ 53 cited

A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videos

Binh Nguyen-Thai, Vuong Le, Catherine Morgan +3

The absence or abnormality of fidgety movements of joints or limbs is strongly indicative of cerebral palsy in infants. Developing computer-based methods for assessing infant movem…

cs.CV2021

Object-Centric Representation Learning for Video Question Answering

Long Hoang Dang, Thao Minh Le, Vuong Le +1

Video question answering (Video QA) presents a powerful testbed for human-like intelligent behaviors. The task demands new capabilities to integrate video processing, language unde…

cs.CV2021

Learning Asynchronous and Sparse Human-Object Interaction in Videos

Romero Morais, Vuong Le, Svetha Venkatesh +1

Human activities can be learned from video. With effective modeling it is possible to discover not only the action labels but also the temporal structures of the activities such as…