Yu-Fan Lin

Yu-Fan Lin

University at Albany, SUNY

  • Total Citations: Loading...

    • Hi there 👋 I'm

    Yu-Fan (Van) Lin

    I am a Ph.D. student in Computer Science at the University at Albany, State University of New York, advised by Prof. Ming-Ching Chang at the Computer Vision and Machine Learning Lab. My research focuses on low-level vision, robust perception, multi-modal learning, and video restoration.

    Previously, I earned my M.S. from the Miin Wu School of Computing, National Cheng Kung University (NCKU), Taiwan, where I worked with the Advanced Computer Vision Laboratory (ACVLAB) under Prof. Chih-Chung Hsu, and my bachelor’s degree from the Department of Applied Mathematics at National Chung Hsing University (NCHU). I actively participate in international challenges and research projects.

    I am also enthusiastic about exploring other cutting-edge fields in artificial intelligence and data science. I actively seek opportunities for collaboration — let’s connect and share ideas to push boundaries together!

    Multimodal Learning Image / Video Processing Image Restoration
    Resume / CV last updated Jul 30, 2026
    – Total citations
    0 Publications
    0 Honors & awards

    🔥 News

    2026.05.27 One paper accepted by ICML CoLoRAI Workshop.
    2026.04.30 One paper accepted by ICIP.
    2026.04.28 One paper accepted by JSTARS.
    2026.03.24 One paper accepted by CVPR NTIRE Workshop.
    2026.03.18 3rd place in CVPR 2026, NTIRE Ambient Lighting Normalization Challenge.
    2026.03.14 Top 2% performance in CVPR 2026, PBVS Mars Landslide Segmentation Challenge.
    2026.02.21 Three papers were accepted by CVPR.
    2025.12.17 I receive the 1st performance in WACV 2026, SkiTB Visual Tracking Challenge.

    📝 Selected Publications

    ICML CoLoRAI Workshop 2026

    FracQuant: Rank-Adaptive Image Super-Resolution Network Quantization via Fractal Complexity Assessment

    Chia-Ming Lee, Yu-Fan Lin, Wei-Hao Tsai, Ming-Ching Chang, Xin Li, Chih-Chung Hsu

    Network QuantizationImage Super-Resolution
    ICIP 2026

    HMS3Former: A Hyperspectral Image Restoration Model Based on Multi-Stage Spatial-Spectral Transformer and Endmember Attention

    Zong-Yu Wu, Chia-Ming Lee, Yu-Fan Lin, Chih-Chung Hsu, Shih-Yu Chen, Li-Wei Kang

    Hyperspectral Image RestorationEndmember Attention
    Anchoring Trends: Mitigating Social Media Popularity Prediction Drift via Feature Clustering and Expansion ACMMM 2025

    Anchoring Trends: Mitigating Social Media Popularity Prediction Drift via Feature Clustering and Expansion

    Chia-Ming Lee, Bo-Cheng Qiu, Cheng-Jun Kang, Yi-Hsuan Wu, Jun-Lin Chen, Yu-Fan Lin, Yi-Shiuan Chou, Chih-Chung Hsu

    Social Media Popularity Prediction
    Paper arXiv
    GTATrack: Winner Solution to SoccerTrack 2025 with Deep-EIoU and Global Tracklet Association ACMMM 2025

    GTATrack: Winner Solution to SoccerTrack 2025 with Deep-EIoU and Global Tracklet Association

    Rong-Lin Jian, Ming-Chi Luo, Cheng-Wei Huang, Chia-Ming Lee, Yu-Fan Lin, Chih-Chung Hsu

    Object Tracking
    Paper arXiv
    S3RNet: Sparse Spatial-Spectral Representation with Hybrid Knowledge Distillation for Efficient Hyperspectral Image Pansharpening JSTARS 2026

    S3RNet: Sparse Spatial-Spectral Representation with Hybrid Knowledge Distillation for Efficient Hyperspectral Image Pansharpening

    Chih-Chung Hsu, Chia-Ming Lee, Yu-Fan Lin, Li-Wei Kang

    Efficient Hyperspectral Image PansharpeningRobustness and Sparse RepresentationNetwork Compression and Knowledge Distillation
    Revisiting Vision-Language Features Adaptation and Inconsistency for Social Media Popularity Prediction ACMMM 2024

    Revisiting Vision-Language Features Adaptation and Inconsistency for Social Media Popularity Prediction

    ACM International Conference on Multimedia (ACMMM 2024)

    Chih-Chung Hsu, Chia-Ming Lee, Yu-Fan Lin, Yi-Shiuan Chou, Chih-Yu Jiang, Chi-Han Tsai

    Vision-Language ModelSocial Media Analysis
    Paper arXiv
    Divide and Conquer: Grounding a Bleeding Areas in Gastrointestinal Image with Two-Stage Model arXiv 2024

    Divide and Conquer: Grounding a Bleeding Areas in Gastrointestinal Image with Two-Stage Model

    Yu-Fan Lin, Bo-Cheng Qiu, Chia-Ming Lee, Chih-Chung Hsu

    Instance SegmentationMedical Image
    arXiv

    🎖 Honors and Awards

    2026.03 3rd place, NTIRE Ambient Lighting Normalization Challenge, IEEE/CVF Computer Vision & Pattern Recognition (CVPR).
    2026.03 Top 2%, PBVS Mars Landslide Segmentation Challenge, IEEE/CVF Computer Vision & Pattern Recognition (CVPR).
    2025.12 Winner (1/16), SkiTB Visual Tracking Challenge, Winter Conference on Computer Vision (WACV).
    2025.12 3rd place (3/136 & 3/274), Hyper-Object Challenge (Spectral Reconstruction & Super-Resolution), IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP).
    2025.11 4th place (4/418, 1.0%), Data-Centric Land Cover Classification Challenge, British Machine Vision Conference (BMVC).
    2025.08 Best Paper Award, Conference on Computer Vision, Graphics, and Image Processing (CVGIP).
    2025.07 Winner, SoccerTrack Challenge, Multimedia Content Analysis in Sports, ACM International Conference on Multimedia (ACMMM).
    2025.07 Winner, Multi-Source Covid-19 Detection Challenge, International Conference on Computer Vision (ICCV).
    2025.06 Winner, TreeScope Tree Diameter Estimation Challenge, IEEE International Conference on Robotics and Automation (ICRA).
    2025.06 Winner, GOOSE 2D Semantic Segmentation Challenge, IEEE International Conference on Robotics and Automation (ICRA).
    2025.03 3rd place (3/306, 0.9%), NTIRE 2025 Single Image Shadow Removal Challenge, IEEE/CVF Computer Vision & Pattern Recognition (CVPR).
    2025.03 6th place (6/263, 2.3%), NTIRE 2025 Single Image Reflection Removal in the Wild Challenge, IEEE/CVF Computer Vision & Pattern Recognition (CVPR).
    2025.02 4th place (4/10), MaCVi MarineVision Restoration Challenge, Winter Conference on Computer Vision (WACV).
    2024.12 8th Foxconn Scholarship recipient.
    2024.12 Nan Shan Life Insurance Company Scholarship.
    2024.07 Winner, Beyond Visible Spectrum: AI for Agriculture Challenge, International Conference on Pattern Recognition (ICPR).
    2024.05 Top Performance Award, Social Media Popularity Prediction Challenge, ACM International Conference on Multimedia (ACMMM).
    2024.03 Runner-up (2/1200+), Auto-WCEBleedGen Challenge Version V2, IEEE International Conference on Image Processing (ICIP).
    2024.03 Presidential Award, Department of Applied Mathematics (Data Science and Computing Program), National Chung Hsing University.
    2023.10 Presidential Award, Department of Applied Mathematics (Data Science and Computing Program), National Chung Hsing University.
    2021.10 Runner-up (2/30+), Second XRun! Motion Sensing Technology Innovation Competition.
    2021.08 Titanium Medal Award (Top 10%), Green Idea Invention and Design Fair.
    2020.12 4th Foxconn Scholarship recipient.
    2018.06 Winner (1/1500+), Asian Robotic Athletic Competition.

    🔨 Projects

    Developing an Automatic Prohibited Items Detection Model for Airport Luggage X-ray Images Based on the Integration of Convolutional Neural Networks and Visual Transformers

    Developing an Automatic Prohibited Items Detection Model for Airport Luggage X-ray Images Based on the Integration of Convolutional Neural Networks and Visual Transformers

    Yu-Fan Lin, Chih-En Kuo

    Deformable ConvolutionsContrabandObject Detection
    Human Factors Biomedical System for Shooting Training

    Human Factors Biomedical System for Shooting Training

    Yu-Fan Lin

    System IntegrationMicrocontrollerShooting Analysis

    💼 Funded & Industry Projects

    2024.04 – Cybersecurity in distributed computing for remote sensing, NVIDIA Taiwan Research.
    2024.07 – 2025.06 Brake System Defect Detection, Taiwan High Speed Rail.
    2024.03 – 2025.04 Scenario understanding and augmented intelligence, Industrial Technology Research Institute (ITRI).
    2023.02 – 2024.03 Developing an Automatic Prohibited Items Detection Model for Airport Luggage X-ray Images Based on the Integration of Convolutional Neural Networks and Visual Transformers, National Science and Technology Council (NSTC).
    2023.02 – 2024.03 Plant Disease Analysis System, National Chung Hsing University (joint project with Institute of Agronomy, NCHU).

    📖 Education

    Ph.D., Department of Computer Science University at Albany, State University of New York (SUNY), Albany, NY, USA 2026.08 – Now
    M.S., Miin Wu School of Computing National Cheng Kung University (NCKU), Taiwan 2024.07 – 2026.06
    B.S., Department of Applied Mathematics National Chung Hsing University (NCHU), Taiwan 2022.02 – 2024.06
    B.S., Department of Telecommunication Engineering National Kaohsiung University of Science and Technology (NKUST), Taiwan 2020.09 – 2022.02

    💼 Academic Services

    Conference Reviewer AAAI'25, ICME'26
    Journal Reviewer TCSVT, TMM, IJPRAI

    🌍 Global Collaborations