11 citations · 13 across the 3 of their papers we have counts for
4 papers
In-Context Inpainting for Time Series Forecasting
Thang Nguyen, Dung Nguyen, Romero Morais +1
We propose ICI-Time, a novel framework that reframes time series forecasting as a visual inpainting task, leveraging the generalisation power of large vision models (LVMs). Unlike…
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…
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…
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…