Author

Shang-Hong Lai

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Preprint Sep 2026

TT-VidT: Decoupling the Temporal Axis for Efficient Motion-Centric Video Pretraining

Comparisons in video self-supervised learning often evaluate complete training recipes rather than isolating the method itself: architecture, objective, data exposure, schedule, scale, and decoder capacity can all vary at once. This makes it hard to identify which choices yield motion-prioritized representations, whose...

Shih-Ying Yeh, Daniel Z. Kaplan, Xue-Hai Wang et al. · 0 citations

Preprint Sep 2026

ReactVAU: A Slow-Fast Decoupled Framework for Streaming Video Anomaly Understanding

In this paper, we propose ReactVAU, a Slow-Fast Decoupled Framework for real-time streaming Video Anomaly Understanding (VAU). Existing VAU methods rely on offline inference with global temporal sampling, which violates causality and prevents deployment in live surveillance streams. Conversely, general streaming video...

Chia-Hui Chen, Shih-Ying Yeh, Fu-En Yang et al. · 0 citations