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Yun-Bin Tu

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Sep 2026

Difference-Aware Multi-Grained Feature Learning With Memory-Attended Joint Interaction Transformer for Image Difference Captioning.

Image Difference Captioning (IDC) aims to describe semantic changes between a pair of similar images using natural language. Most existing approaches rely on off-the-shelf visual backbones to extract features from image pairs. However, these backbones, pre-trained for single-image understanding, often struggle to captu...

Yun-Bin Tu, Liang Li, Li Su et al. · 0 citations
2025

Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection

Extensive experiments show SF-VAD achieves state-of-the-art detection results while offering a favorable trade-off between performance and annotation cost, and Frame-guided Progressive Learning (FPL), to generalize sparse frame supervision to event-level anomaly understanding.

Junxi Chen, Liang Li, Yun-Bin Tu et al. · 4 citations

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