10 citations · 15 across the 21 of their papers we have counts for
23 papers
SpatialTrust: A Benchmark for Environmental Risk Recognition in Secure Authentication
Junbin Lu, Hsiang-Wei Huang, Saesha Wadhwa +2
Visual environmental risk recognition plays an important role in secure authentication, where a user's surroundings may reveal sensitive information or introduce potential security…
LeFlow: Generative Latent Flow Planning for World Models
Hsiang-Wei Huang, Jianxu Shangguan, Junbin Lu +1
Latent world models are inherently strong encoders that transform image pixel to latent embedding, yet existing world models still rely on online trajectory optimization for action…
Memory Tree Guided Key Frame Querying for Efficient 3D Question Answering
Hsiang-Wei Huang, Fu-Chen Chen, Li-Wu Tsao +7
Answering questions accurately and efficiently in embodied scenarios presents significant challenges due to limited computational and memory resources for Vision Language Model (VL…
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…
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…
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…
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…
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…
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…
ToSA: Token Merging with Spatial Awareness
Hsiang-Wei Huang, Wenhao Chai, Kuang-Ming Chen +2
Token merging has emerged as an effective strategy to accelerate Vision Transformers (ViT) by reducing computational costs. However, existing methods primarily rely on the visual t…
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…
TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action
Jen-Hao Cheng, Vivian Wang, Huayu Wang +11
Understanding causal event relationships and achieving fine-grained temporal grounding in videos remain challenging for vision-language models (VLMs). We propose TEMPURA (Temporal…
Technical Report for ReID-SAM on SkiTB Visual Tracking Challenge 2025
Kunjun Li, Cheng-Yen Yang, Hsiang-Wei Huang +1
This report introduces ReID-SAM, a novel model developed for the SkiTB Challenge that addresses the complexities of tracking skier appearance. Our approach integrates the SAMURAI t…
PackDiT: Joint Human Motion and Text Generation via Mutual Prompting
Zhongyu Jiang, Wenhao Chai, Zhuoran Zhou +3
Human motion generation has advanced markedly with the advent of diffusion models. Most recent studies have concentrated on generating motion sequences based on text prompts, commo…
SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
Cheng-Yen Yang, Hsiang-Wei Huang, Wenhao Chai +2
The Segment Anything Model 2 (SAM 2) has demonstrated strong performance in object segmentation tasks but faces challenges in visual object tracking, particularly when managing cro…
GTA: Global Tracklet Association for Multi-Object Tracking in Sports
Jiacheng Sun, Hsiang-Wei Huang, Cheng-Yen Yang +2
Multi-object tracking in sports scenarios has become one of the focal points in computer vision, experiencing significant advancements through the integration of deep learning tech…
ToddlerAct: A Toddler Action Recognition Dataset for Gross Motor Development Assessment
Hsiang-Wei Huang, Jiacheng Sun, Cheng-Yen Yang +4
Assessing gross motor development in toddlers is crucial for understanding their physical development and identifying potential developmental delays or disorders. However, existing…
Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check
Sheng-Yao Kuan, Jen-Hao Cheng, Hsiang-Wei Huang +6
In the domain of autonomous driving, the integration of multi-modal perception techniques based on data from diverse sensors has demonstrated substantial progress. Effectively surp…
RT-Pose: A 4D Radar Tensor-based 3D Human Pose Estimation and Localization Benchmark
Yuan-Hao Ho, Jen-Hao Cheng, Sheng Yao Kuan +5
Traditional methods for human localization and pose estimation (HPE), which mainly rely on RGB images as an input modality, confront substantial limitations in real-world applicati…
VersaT2I: Improving Text-to-Image Models with Versatile Reward
Jianshu Guo, Wenhao Chai, Jie Deng +6
Recent text-to-image (T2I) models have benefited from large-scale and high-quality data, demonstrating impressive performance. However, these T2I models still struggle to produce i…
A Density-Guided Temporal Attention Transformer for Indiscernible Object Counting in Underwater Video
Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang +3
Dense object counting or crowd counting has come a long way thanks to the recent development in the vision community. However, indiscernible object counting, which aims to count th…
MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking
Hsiang-Wei Huang, Cheng-Yen Yang, Wenhao Chai +2
In the field of multi-object tracking (MOT), traditional methods often rely on the Kalman filter for motion prediction, leveraging its strengths in linear motion scenarios. However…
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024
Benjamin Kiefer, Lojze Žust, Matej Kristan +46
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024 addresses maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicles (USV). Three challenge…