🧍‍♂️ Biography

I am currently a student majoring in Statistics at National Cheng Kung University (NCKU) in Tainan, Taiwan, and I’m an enthusiastic researcher in the field of computer vision and deep learning.

I work as a research assistant at the Advanced Computer Vision Laboratory (ACVLAB) at the Institute of Data Science, National Cheng Kung University (NCKU), Tainan, Taiwan. I am fortunate to be advised by and work with Prof. Chih-Chung Hsu (NCKU).

Find my resume here (last updated May 23, 2024).

My research interests include:

• Image/Video Processing and Restoration
• Multi-Modal Learning and Modeling

In addition, I also enjoy cooking🍲, traveling🌐 and playing piano🎹, feel free to chat with me about it if you share the same interest! 😄

🔥 News

• 2024/08/05:  🎉🎉 One paper is accepted by ACMMM 2024!
• 2024/07/31:  🎉🎉 Three papers are accepted by CVGIP 2024.
• 2024/06/12:  🎉🎉 Our ‘DRCT’ have been selected for Oral Presentation in CVPR - NTIRE!
• 2024/06/06:  🎉🎉 I receive the Top Performance Award in ACMMM 2024 (Social Media Prediction Challenge)!
• 2024/05/25:  🎉🎉 I receive the top3% ranking (after Xiaomi, Kuaishou corp.) in SISR Challenge, CVPR 2024 (NTIRE workshop).
• 2024/05/21:  🎉🎉 Two paper are accepted by MIPR 2024 (Acceptance rate: 19.5%).
• 2024/04/11:  🎉🎉 Two paper are accepted by CVPRW 2024.
• 2024/03/23:  🎉🎉 I receive the 3rd place in COVID-19 detection Challange, in conjuncted with CVPR 2024 (DEF-AI-MIA workshop).

📝 Selected Publications

Submitted to ACMMM2024

Revisiting CLIP-Features for Learning Multi-Modal Representations from Social Posts

Submitted to ACM International Conference on Multimedia (ACMMM2024)

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

Keywords

• Vision-Language Model

• Social Media Analysis

  PDF arxiv

Submitted to TPAMI2024

GRACE: Graph-Regularized Attentive Convolutional Entanglement with Laplacian Smoothing for Robust DeepFake Video Detection

Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence

Chih-Chung Hsu, Shao-Ning Chen, Mei-Hsuan Wu, Yi-Fang Wang, Chia-Ming Lee, Yi-Shiuan Chou

Keywords

• Adversarial Attack
• Robust DeepFake Detection
• Graph Convolution Network

• Forgery Detection

  PDF arxiv Github

CVPRW2024

DRCT: Saving Image Super-Resolution away from Information Bottleneck

IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR2024), New Trends in Image Restoration and Enhancement (NTIRE) Workshop

Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou

Keywords

• Image Super-resolution
• Information Bottleneck
  PDF arxiv Github Project page Poster

CVPRW2024

A Closer Look at Spatial-Slice Features for COVID-19 Detection

IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR2024), Domain adaptation, Explainability, Fairness in AI for Medical Image Analysis (DEF-AI-MIA) Workshop

Chih-Chung Hsu, Chia-Ming Lee, Yang Fan Chiang, Yi-Shiuan Chou, Chih-Yu Jiang, Shen-Chieh Tai, Chi-Han Tsai

Keywords

• Semi-supervised learning
• COVID-19 Recognition

• Image/Video Processing and Understanding

  PDF arxiv Github Project page

🎖 Honors and Awards

• 2024.05: Top Performance Award, Socia Media Popularity Prediction Challenge, ACM International Conference on Multimedia (ACMMM).
• 2024.03: 6th place (6/195), NTIRE 2024 Image Super-Resolution (x4), IEEE Computer Vision & Pattern Recognition (CVPR).
• 2024.03: 3rd place (3/21), COVID-19 Detection Challange, Domain adaptation, Explainability and Fairness in AI for Medical Image Analysis, IEEE Computer Vision & Pattern Recognition (CVPR).

💼 Projects

📖 Educations

• 2022.02 - (now), B.S. National Cheng Kung University (NCKU), the Department of Statistics, Taiwan.

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