12 citations · 41 across the 30 of their papers we have counts for
32 papers
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…
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…
UniHPR: Unified Human Pose Representation via Singular Value Contrastive Learning
Zhongyu Jiang, Wenhao Chai, Lei Li +3
In recent years, there has been a growing interest in developing effective alignment pipelines to generate unified representations from different modalities for multi-modal fusion…
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…
Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression
Kunjun Li, Zigeng Chen, Cheng-Yen Yang +1
Visual Autoregressive (VAR) modeling has garnered significant attention for its innovative next-scale prediction approach, which yields substantial improvements in efficiency, scal…
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…
Tree Counting by Bridging 3D Point Clouds with Imagery
Lei Li, Tianfang Zhang, Zhongyu Jiang +6
Accurate and consistent methods for counting trees based on remote sensing data are needed to support sustainable forest management, assess climate change mitigation strategies, an…
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…
UniHPE: Towards Unified Human Pose Estimation via Contrastive Learning
Zhongyu Jiang, Wenhao Chai, Lei Li +3
In recent times, there has been a growing interest in developing effective perception techniques for combining information from multiple modalities. This involves aligning features…
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…
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…
Efficient Domain Adaptation via Generative Prior for 3D Infant Pose Estimation
Zhuoran Zhou, Zhongyu Jiang, Wenhao Chai +3
Although 3D human pose estimation has gained impressive development in recent years, only a few works focus on infants, that have different bone lengths and also have limited data.…
Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimation
Zhongyu Jiang, Zhuoran Zhou, Lei Li +3
Learning-based methods have dominated the 3D human pose estimation (HPE) tasks with significantly better performance in most benchmarks than traditional optimization-based methods.…
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…
Multi-Object Tracking by Iteratively Associating Detections with Uniform Appearance for Trawl-Based Fishing Bycatch Monitoring
Cheng-Yen Yang, Alan Yu Shyang Tan, Melanie J. Underwood +6
The aim of in-trawl catch monitoring for use in fishing operations is to detect, track and classify fish targets in real-time from video footage. Information gathered could be used…