Papers by Kecheng Han

1 papers
Cultivating Forensic Reasoning for Generalizable Multimodal Manipulation Detection (2026.acl-long)

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Challenge: Existing methods for manipulation detection and grounding focus on manipulator type classification under result-oriented supervision.
Approach: They propose a reasoning-driven framework that shifts learning from outcome fitting to process modeling.
Outcome: The proposed framework achieves state-of-the-art with superior generalization on large-scale datasets.

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