Author

Kangwook Ko

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Review Sep 2026

Tracking-by-detection in Multi-object Tracking: Survey and Experiments

This survey systematically reviews TBD-based MOT techniques, including similarity measurements, data association, camera motion compensation, and interpolation strategies, to establish a strong baseline tracker and provide a foundation for the principled design of robust and versatile MOT systems suitable for real-worl...

Yu-Jin Yang, Kyujin Shim, Kangwook Ko et al. · 0 citations

#computer vision Preprint Aug 2026

Where Identity Lives: Localized, Retain-Free Identity Unlearning in Multimodal Large Language Models

PAVA pairs a forget loss with a visual-attribute anchor that preserves image-grounded behavior by distilling the model's own pre-unlearning answers from the forget images alone and gives the strongest forget-retain trade-off among forget-set-only methods and remains competitive with retain-based baselines.

Kangwook Ko, Jaehyuk Jang, Wonjun Lee et al. · 0 citations

#computer vision Preprint Aug 2026

AIM: Anchor Identity Features, Then Match for Multimodal Large Language Model Unlearning

AIM is proposed, a two-stage method that anchors an identity-forgetting target with a universal visual prompt and then matches the vision encoder to that target under a Fisher-based constraint, which achieves competitive identity forgetting while preserving non-deleted identities, prior knowledge, and visual perception...

Wonjun Lee, Jaehyuk Jang, Kangwook Ko et al. · 1 citation