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Dyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic Interactions
Personality computing has become an emerging topic in computer vision, due to the wide range of applications it can be used for.
Context-Aware Personality Inference in Dyadic Scenarios: Introducing the UDIVA Dataset
This paper introduces UDIVA, a new non-acted dataset of face-to-face dyadic interactions, where interlocutors perform competitive and collaborative tasks with different behavior elicitation and cognitive workload.
Real-Time Deep Learning Method for Abandoned Luggage Detection in Video
Recent terrorist attacks in major cities around the world have brought many casualties among innocent citizens.
Detecting abnormal events in video using Narrowed Normality Clusters
To detected abnormal events in the test video, we analyze each test sample and consider its maximum normality score provided by the trained one-class SVM models, based on the intuition that a test sample can belong to only one cluster of normality.
Ranked #15 on
Anomaly Detection
on CUHK Avenue
Unmasking the abnormal events in video
We propose a novel framework for abnormal event detection in video that requires no training sequences.
Ranked #29 on
Anomaly Detection
on CUHK Avenue
Abnormal Event Detection In Video
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