1 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
Adapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking
Cheng-Yen Yang, Hsiang-Wei Huang, Pyong-Kun Kim +5
We present an effective approach for adapting the Segment Anything Model 2 (SAM2) to the Visual Object Tracking (VOT) task. Our method leverages the powerful pre-trained capabiliti…
Sea You Later: Metadata-Guided Long-Term Re-Identification for UAV-Based Multi-Object Tracking
Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang +4
Re-identification (ReID) in multi-object tracking (MOT) for UAVs in maritime computer vision has been challenging for several reasons. More specifically, short-term re-identificati…
Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports
Hsiang-Wei Huang, Cheng-Yen Yang, Jiacheng Sun +5
Deep learning-based object detectors have driven notable progress in multi-object tracking algorithms. Yet, current tracking methods mainly focus on simple, regular motion patterns…
Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment
Hsiang-Wei Huang, Cheng-Yen Yang, Zhongyu Jiang +8
Multi-camera multiple people tracking has become an increasingly important area of research due to the growing demand for accurate and efficient indoor people tracking systems, par…