Sync from the sea: retrieving alignable videos from large-scale datasets

IR Dave, FC Heilbron, M Shah, S Jenni - European Conference on …, 2024 - Springer
Temporal video alignment aims to synchronize the key events like object interactions or
action phase transitions in two videos. Such methods could benefit various video editing …

[KNJIGA][B] Computer Vision-ECCV 2024: 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXIV.

A Leonardis, E Ricci, S Roth, O Russakovsky, T Sattler… - 2024 - books.google.com
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes
the refereed proceedings of the 18th European Conference on Computer Vision, ECCV …

SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization

Y Huang, H Chen, Z Xu, Z Jia, H Sun… - arxiv preprint arxiv …, 2025 - arxiv.org
Human action understanding is crucial for the advancement of multimodal systems. While
recent developments, driven by powerful large language models (LLMs), aim to be general …

[HTML][HTML] MNv3-MFAE: A Lightweight Network for Video Action Recognition

J Liu, W Liu, K Han - Electronics, 2025 - mdpi.com
Video action recognition aims to achieve the automatic classification of human behaviors by
analyzing the actions in videos, with its core lying in accurately capturing the spatial detail …