🧍‍♂️ Biography

I am currently a M.S. student with the Advanced Computer Vision Laboratory (ACVLAB) at the Institute of Data Science, National Cheng Kung University (NCKU), Tainan, Taiwan. I am a passionate computer vision and deep learning researcher. I am fortunate to be advised by and work with Prof. Chih-Chung Hsu (NCKU).

I received a B.S. degree at the Department of Statistics and Information Science, Fu Jen Catholic University (FJCU), Taiwan, in 2023. I was advised by Prof. Hao-Chiang Shao.

Find my resume here (last updated May 27, 2024).

My research interests include:

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

I am also exploring other computer vision-related fields which are interested to me, such as Multi-Object Tracking, 3D-scene Reconstruction. I am actively seeking a collaboration.

In addition, I also enjoy fishing🐬, boxing🥊, cooking🍲, baking🍞 and traveling🌐, welcome to talk about that with me if you have the same hobbyXD.

🔥 News

• 2024/11/7:  🎉🎉 Two paper are accepted by TAAI 2024.
• 2024/11/4:  🎉🎉 One paper are accepted by ICCE 2025.
• 2024/09/19:  🎉🎉 I receive the Future Tech Awards (2024 未來科技獎). Link
• 2024/08/23:  🎉🎉 One paper is accepted by APCCAS 2024.
• 2024/08/05:  🎉🎉 One paper is accepted by ACMMM 2024.
• 2024/07/31:  🎉🎉 Five paper are accepted by CVGIP 2024.
• 2024/07/21:  🎉🎉 I receive the 1st performance in ICPR 2024 (Beyond Visible Spectrum: AI for Agriculture)!
• 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).
• 2024/03/13:  🎉🎉 One paper is accepted by TGRS (IF: 8.2, Rank 29/1409=2% in Electrical and Electronic Engineering).
• 2024/03/06:  🎉🎉 I receive the 2nd Position in the Auto-WCEBleedGen Challenge Version V2, in conjunted with ICIP 2024.
• 2023/11/25:  🎉🎉 I receive the Gold Medal Award in SAS Hackthon 2023.
• 2023/11/23:  🎉🎉 I am the Ministry of Education Presidential Education Award (總統教育獎) Candicate in NCKU.
• 2023/10/31:  🎉🎉 I receive the Top Paper Award in ACMMM 2023 (Social Media Prediction Challenge).
• 2023/10/17:  🎉🎉 One paper is accepted by MMAsia 2023.
• 2023/10/2:  🎉🎉 I receive the Jury Prize in ICCV 2023 (Visual Inducitve Priors Workshop).
• 2023/8/1:  🎉🎉 Two paper are accepted by CVGIP 2023.
• 2023/7/13:  🎉🎉 One paper is accepted by ACMMM 2023.
• 2023/4/15:  🎉🎉 One paper is accepted by ICASSP 2023 (AI-enabled Medical Image Analysis Workshop).

📝 Selected Publications

arXiv2024

PromptHSI: Universal Hyperspectral Image Restoration Framework for Composite Degradation

Chia-Ming Lee, Ching-Heng Cheng, Yu-Fan Lin, Yi-Ching Cheng, Wo-Ting Liao, Chih-Chung Hsu, Fu-En Yang, Yu-Chiang Frank Wang

Keywords

• Hyperspectral Image Restoration
• All-in-One Image Restoration
• Text-Prompt Learning

arXiv2024

RobustDGA: Generalized Hyperspectral Image Fusion via High Frequency Information Sharing and Compensation

Chia-Ming Lee, Cheng-Jun Kang, Ching-Heng Cheng, Yu-Fan Lin, Yi-Shiuan Chou, Chih-Chung Hsu, Fu-En Yang, Yu-Chiang Frank Wang

Keywords

• Hyperspectral Image Restoration
• Robust Hyperspectral Image Fusion
• Graph Neural Network

ACMMM2024

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

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 TIP2024

CSAKD: Knowledge Distillation with Cross Self-Attention for Hyperspectral and Multispectral Image Fusion

Submitted to IEEE Transactions on Image Processing (TIP)

Chih-Chung Hsu, Chih-Chien Ni, Chia-Ming Lee, Li-Wei Kang

Keywords

• Knowledge Distillation
• Hyperspectral Image Fusion

• Image Pan-sharping

  PDF arxiv Github

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 (TPAMI)

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 [Oral]

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

Keywords

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

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

TGRS2024

Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat

IEEE Transactions on Geoscience and Remote Sensing (TGRS, IF: 8.2, Rank 29/1409=2% in Electrical and Electronic Engineering)

Chih-Chung Hsu, Chih-Yu Jian, Eng-Shen Tu, Chia-Ming Lee, Guan-Lin Chen

Keywords

• Hypersepctral Image
• Compression and Sensing

• Image Restoration

  IEEE Xplore Github

Future Publications

HyFusion: Enhanced Reception Field Transformer for Hyperspectral and Multispectral Image Fusion

Chih-Chung Hsu, Chia-Ming Lee, Li-Wei Kang

Keywords

• Hyperspectral Image Fusion

• Image Super-resolution

  Github

GLARE: Global-Local Window Attention Refinement for Image Super-resolution

Chih-Chung Hsu, Chia-Ming Lee

Keywords

• Image Super-resolution

🎖 Honors and Awards

• 2024.07: Winner, Beyond Visible Spectrum: AI for Agriculture Challenge, International Conference on Pattern Recognition (ICPR).
• 2024.05: Top Performance Award, Socia Media Popularity Prediction Challenge, ACM International Conference on Multimedia (ACMMM).
• 2024.03: 9th place (9/288), AI City Challenge Track 4: Road Object Detection in Fish-Eye Cameras, IEEE Computer Vision & Pattern Recognition (CVPR).
• 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).
• 2024.03: 2nd place (2/1200+), Auto-WCEBleedGen Challenge Version V2, IEEE International Conference on Image Processing (ICIP).
• 2024.01: (?/8) Ministry of Education Presidential Education Award Candicate in NCKU.
• 2024.01: 6th place (6/195), SeaDroneSee Multi-Object Tracking and Re-Identification Challenge, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Workshop on Maritime Computer Vision (MaCVi).
• 2023.12: 2nd place (2/129), Embedded AI Object Detection Model Design, PAIR-LITEON Competition, ACM International Conference on Multimedia Asia (MMAsia).
• 2023.11: Gold Medal Award (1/150+), SAS Hackathon, [Reported by 6+ domsetic media].
• 2023.10: Top Paper Award (3/700+) , Socia Media Popularity Prediction Challenge, ACM International Conference on Multimedia (ACMMM).
• 2023.10: Jury Prize (1/176), Visual Inductive Priors Workshop on Instance Segmentation Challenge, IEEE/CVF International Conference on Computer Vision (ICCV).
• 2023.06: Winner (1/18), COV19 Detection Challenge, AI-enabled Medical Image Analysis Workshop in IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP).
• 2023.06: The Highest Prize (1/96), International Competition Scholarship, Fu Jen Catholic University.
• 2021.09: Zhang Wang Wei Foundation Scholarship, Fu Jen Catholic University.

💼 Projects

• 2024.7~: Brake system Defect Detection, Taiwan High Speed Rail.
• 2024.4~: Cybersecurity in distributed computing for remote sensing, NVIDIA Taiwan Research.
• 2024.4~: AI Enhancing Substrate Manufacturing Yield with Optimized Process Factors, Corporate R&D, Advanced Semiconductor Engineering Group (ASE).
• 2023.2~2024.1 :Substrate Drilling Scatter Plot Defect Detection, Corporate R&D, Advanced Semiconductor Engineering Group (ASE).
• 2022.6~2022.12: A Large Scale Whitebait Dataset for Long-tailed Distribution Image Classification and Domain Adaptation, Department of Statistic and Information Science, Fu Jen Catholic University. (Joint-project with Institute of Fisheries Science, National Taiwan University)

📖 Educations

• 2023.09 - (now), M.S. National Cheng Kung University (NCKU), the Institute of Data Science, Taiwan.
• 2019.09 - 2023.06, B.S. Fu Jen Catholic University (FJCU), the Department of Statistics and Information Science, Taiwan.

🚀 Academic Services

• Keynote Speaker, Experiences on Competitions and Challenges, National Taiwan University of Science and Technology (NTUST)

• Conference paper Reviewer, CVPR2024, ICLR2025
• Journal paper Reviewer, TMM, TIFS
• Workshop paper Reviewer, AICITY2024, NTIRE2024
• Teaching Assistant, in National Cheng Kung University (NCKU)

2024-Fall: Machine Learning (DS6012) 2024-Spring: Fundamental and Applications of Geneartive AI (CSIE4037) 2024-Spring: Deep Learning (DS6016) 2023-Fall: Programming Language (STAT6060) 2023-Fall: Statistical methods for Analysis with Missing data (STAT2004)

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