collaborators

5 papers

cs.CL2026

Selective Test-Time Debiasing for CLIP via Reward Gating

Jaeho Han, Jisoo Yang, Hyeondong Woo +3

Vision language models (VLMs) demonstrate strong zero-shot performance, but often perpetuate social stereotypes in person-centric queries, yielding skewed demographic distributions…

cs.CV2026

Visual Funnel: Resolving Contextual Blindness in Multimodal Large Language Models

Woojun Jung, Jaehoon Go, Mingyu Jeon +2

Multimodal Large Language Models (MLLMs) demonstrate impressive reasoning capabilities, but often fail to perceive fine-grained visual details, limiting their applicability in prec…

cs.CV2026

See More, Store Less: Memory-Efficient Resolution for Video Moment Retrieval

Mingyu Jeon, Sungjin Han, Jinkwon Hwang +3

Recent advances in Multimodal Large Language Models (MLLMs) have improved image recognition and reasoning, but video-related tasks remain challenging due to memory constraints from…

cs.CV2026

GranAlign: Granularity-Aware Alignment Framework for Zero-Shot Video Moment Retrieval

Mingyu Jeon, Sunjae Yoon, Jonghee Kim +1

Zero-shot video moment retrieval (ZVMR) is the task of localizing a temporal moment within an untrimmed video using a natural language query without relying on task-specific traini…

cs.CV2025

Point to Span: Zero-Shot Moment Retrieval for Navigating Unseen Hour-Long Videos

Mingyu Jeon, Jisoo Yang, Sungjin Han +4

Zero-shot Long Video Moment Retrieval (ZLVMR) is the task of identifying temporal segments in hour-long videos using a natural language query without task-specific training. The co…