collaborators

12 papers

cs.CV2026

Understanding Identity Continuity in Thermal Video through Scene-Level Consistency

Wei-Chieh Sun, Gyungmin Ko, Heejae Kwon +2

Thermal pedestrian MOT remains challenging because weak appearance cues and frequent detection interruptions cause severe trajectory fragmentation. We study whether lightweight pos…

cs.CV2026

CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models

Hsiang-Wei Huang, Junbin Lu, Kuang-Ming Chen +3

Vision-Language Models (VLMs) achieve strong performance on spatial question answering benchmarks, yet it remains unclear whether such gains reflect genuine spatial intelligence. W…

cs.CV2026

Detector-in-the-Loop Tracking: Active Memory Rectification for Stable Glottic Opening Localization

Huayu Wang, Bahaa Alattar, Cheng-Yen Yang +5

Temporal stability in glottic opening localization remains challenging due to the complementary weaknesses of single-frame detectors and foundation-model trackers: the former lacks…

cs.CL2026

Modeling LLM Agent Reviewer Dynamics in Elo-Ranked Review System

Hsiang-Wei Huang, Junbin Lu, Kuang-Ming Chen +1

In this work, we explore the Large Language Model (LLM) agent reviewer dynamics in an Elo-ranked review system using real-world conference paper submissions. Multiple LLM agent rev…

cs.CV2026

Reasoning Matters for 3D Visual Grounding

Hsiang-Wei Huang, Kuang-Ming Chen, Wenhao Chai +3

The recent development of Large Language Models (LLMs) with strong reasoning ability has driven research in various domains such as mathematics, coding, and scientific discovery. M…

cs.CV2025

Warehouse Spatial Question Answering with LLM Agent

Hsiang-Wei Huang, Jen-Hao Cheng, Kuang-Ming Chen +8

Spatial understanding has been a challenging task for existing Multi-modal Large Language Models~(MLLMs). Previous methods leverage large-scale MLLM finetuning to enhance MLLM's sp…