Humans are highly adaptable, swiftly switching between different modes t...
It would be a technological feat to be able to create a system that can ...
The current success of modern visual reasoning systems is arguably attri...
We propose to model the persistent-transient duality in human behavior u...
Deep learning has become popular because of its potential to achieve hig...
Video Question Answering (Video QA) is a powerful testbed to develop new...
The absence or abnormality of fidgety movements of joints or limbs is
st...
Video question answering (Video QA) presents a powerful testbed for
huma...
Human activities can be learned from video. With effective modeling it i...
Our title alludes to the three Christmas ghosts encountered by Ebenezer
...
The prediction of humans' short-term trajectories has advanced significa...
Video QA challenges modelers in multiple fronts. Modeling video necessit...
Human activities are naturally structured as hierarchies unrolled over t...
Artificial intelligence (AI) is increasingly of tremendous interest in t...
Recently, it has been shown that deep learning models are vulnerable to
...
We present Language-binding Object Graph Network, the first neural reaso...
Video question answering (VideoQA) is challenging as it requires modelin...
How does machine learn to reason about the content of a video in answeri...
Deep autoencoder has been extensively used for anomaly detection. Traini...
Appearance features have been widely used in video anomaly detection eve...