143 citations · 222 across the 15 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019
Neural Reasoning, Fast and Slow, for Video Question Answering
Thao Minh Le, Vuong Le, Svetha Venkatesh +1
What does it take to design a machine that learns to answer natural questions about a video? A Video QA system must simultaneously understand language, represent visual content ove…
cs.CV2019★ 11 cited
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
Romero Morais, Vuong Le, Truyen Tran +3
Appearance features have been widely used in video anomaly detection even though they contain complex entangled factors. We propose a new method to model the normal patterns of hum…
cs.CV2019★ 143 cited
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection
Dong Gong, Lingqiao Liu, Vuong Le +4
Deep autoencoder has been extensively used for anomaly detection. Training on the normal data, the autoencoder is expected to produce higher reconstruction error for the abnormal i…