VIC Lab

Affiliations. Department of Electrical Engineering, R70935, Yuan Ze University, Taiwan

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The Vision and Intelligent Computing (VIC) Lab is a research laboratory within the Department of Electrical Engineering, dedicated to advancing both fundamental and applied research in computer vision, multimedia processing, artificial intelligence (AI), and intelligent computing. Our research emphasizes the principled integration of image, video, and audio understanding with modern deep learning architectures, representation learning techniques, and intelligent system design.

The mission of our Lab is to develop intelligent, efficient, and scalable AI-driven solutions that address critical challenges across a broad range of application domains. The laboratory consists of undergraduate and graduate students who actively conduct research in computer vision and related AI fields, with applications including healthcare analytics, geoscience and environmental monitoring, human–computer interaction, and autonomous intelligent systems.

The VIC Lab welcomes motivated graduate students, research interns, and collaborators who are interested in joining our research activities. Prospective members are encouraged to contact us via email to discuss research opportunities, including graduate study, internships, and formal research collaborations.

The VIC Lab actively collaborates with international academic institutions, industrial partners, and interdisciplinary research communities. Through these collaborations, we aim to bridge the gap between fundamental research and real-world applications, fostering innovation that contributes to both scientific advancement and broader societal impact.

News

Jun 20, 2026
🎓 Congratulations to Andri Marcherisal and Sakhile Ginindza on successfully passing their Master’s oral defense and earning their Master of Science degree from Yuan Ze University. We are proud of your achievement and wish you continued success in your future careers and research endeavors.
Dec 03, 2025
🏆 Chun-Yi Lin received the Best Paper Award at the COSITE Conference 2025 for the paper titled
“Zero-Shot Representation Learning for Alzheimer’s Disease MRI via Frozen CLIP.”
Congratulations to Chun-Yi!
Nov 28, 2025
📰 VIC Lab members published two papers at the 17th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), focusing on sustainable and smart agriculture.
Oct 15, 2025
🎉 VIC Lab received the Excellent Best Paper Award at the IIHSMP Conference 2025 for the paper titled “Reconstruction-Based Segmenting Region Technique for Adversarial Patch Defense.”

Latest Publications

  1. CBM
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    Enhancing the Reliability of Alzheimer’s Disease Prediction in MRI Images
    Junaidul Islam, Elvin Nur Furqon, Isack Farady, and 1 more author
    Computers in Biology and Medicine, 2025
  2. JAG
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    ConSeisDiff: A Conditional Diffusion Approach to Mitigate Synthetic–Real Disparities in Seismic Fault Detection
    Isack Farady, Chia-Chen Kuo, Soufiene Sellami, and 1 more author
    Journal of Applied Geophysics, 2025