3 papers
cs.CV2026
Tracking-by-detection in Multi-object Tracking: Survey and Experiments
Yujin Yang, Kyujin Shim, Kangwook Ko +1
Multi-object tracking (MOT) is an essential computer vision task that simultaneously tracks multiple objects in video sequences, with various applications in surveillance, autonomo…
cs.CV2026
Detecting AI-Generated Videos with Spiking Neural Networks
Minsuk Jang, Yujin Yang, Hee-Seon Kim +3
Modern AI-generated videos are photorealistic at the single-frame level, leaving inter-frame dynamics as the main remaining axis for detection. Existing detectors typically handle…
cs.CL2025
Safety-Aligned Weights Are Not Enough: Refusal-Teacher-Guided Finetuning Enhances Safety and Downstream Performance under Harmful Finetuning Attacks
Seokil Ham, Yubin Choi, Yujin Yang +3
While Finetuning-as-a-Service (FaaS) enables customization of Large Language Models (LLMs) using user data, this service is vulnerable to safety degradation when user data includes…