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Deep learning-based action detection in untrimmed videos: A survey
Understanding human behavior and activity facilitates advancement of numerous real-world
applications, and is critical for video analysis. Despite the progress of action recognition …
applications, and is critical for video analysis. Despite the progress of action recognition …
Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives
Abstract We present Ego-Exo4D a diverse large-scale multimodal multiview video dataset
and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric …
and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric …
Star-transformer: a spatio-temporal cross attention transformer for human action recognition
In action recognition, although the combination of spatio-temporal videos and skeleton
features can improve the recognition performance, a separate model and balancing feature …
features can improve the recognition performance, a separate model and balancing feature …
Memot: Multi-object tracking with memory
J Cai, M Xu, W Li, Y ** your eye on the ball: Trajectory attention in video transformers
In video transformers, the time dimension is often treated in the same way as the two spatial
dimensions. However, in a scene where objects or the camera may move, a physical point …
dimensions. However, in a scene where objects or the camera may move, a physical point …
Online human motion analysis in industrial context: A review
Human motion analysis plays a crucial role in industry 4.0 and, more recently, in industry 5.0
where human-centered applications are becoming increasingly important, demonstrating its …
where human-centered applications are becoming increasingly important, demonstrating its …
Physformer++: Facial video-based physiological measurement with slowfast temporal difference transformer
Remote photoplethysmography (rPPG), which aims at measuring heart activities and
physiological signals from facial video without any contact, has great potential in many …
physiological signals from facial video without any contact, has great potential in many …
TallFormer: Temporal Action Localization with a Long-Memory Transformer
Most modern approaches in temporal action localization divide this problem into two parts:(i)
short-term feature extraction and (ii) long-range temporal boundary localization. Due to the …
short-term feature extraction and (ii) long-range temporal boundary localization. Due to the …
Videollm: Modeling video sequence with large language models
With the exponential growth of video data, there is an urgent need for automated technology
to analyze and comprehend video content. However, existing video understanding models …
to analyze and comprehend video content. However, existing video understanding models …