Shao-Wei Weng

SOPERM-Track: Spatial Object Permanence Modeling via Height Stability and Ground Perspective

Multi-object tracking is a crucial task in intelligent surveillance, yet it remains challenging in crowded environments due to severe occlusion, perspective distortion, and appearance similarity. To address these challenges, this work proposes Spatial Object Permanence Track (SOPERM-Track), which aims to endow a motion...

LGC-END: A Dual-Branch Architecture Achieving the Fusion of the Watermark and the Cover Image From Multiple Perspectives

DTBF: Combining Local Statistical Artifacts and Concept Alignment for Synthetic Image Detection

In general, the cross-generator generalization and robustness against attacks are two main challenges in AI-generated image detection. To address this, we put forward a synthetic image detector (DTBF), a two-branch architecture followed by a jointly-optimized concatenation (JOC), aiming at capturing low-level artifacts...

Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning

This work proposes RNSIDNet, a novel forensic framework that achieves robust detection through enhanced RGB-Noise representation learning, and designs a Hard Sample-aware Contrastive Learning (HSCL) strategy.