🧍‍♂️ Biography

I received my B.S. degree in 2023 from the Department of Statistics and Information Science at Fu Jen Catholic University (FJCU), Taiwan, where I was advised by Prof. Hao-Chiang Shao. I completed my M.S. degree in 2025 at National Cheng Kung University (NCKU), where I conducted research at the Advanced Computer Vision Laboratory (ACVLAB) under the mentorship of Prof. Chih-Chung Hsu and the Computational Photography Laboratory (CPLAB) at National Yang Ming Chiao Tung University (NYCU), working with Prof. Yu-Lun Liu. I will be pursuing my Ph.D. at the University at Albany, State University of New York (SUNY Albany), where I will conduct research at the Computer Vision and Machine Learning Laboratory (CVML LAB) under the co-supervision of Prof. Ming-Ching Chang and Prof. Xin Li.

Find my resume here (last updated Jan 17, 2026).

My research interests include, but are not limited to, Low-level Vision Problems, Computational Photography, Hyperspectral Image Processing, Multimedia Analysis and Security, Efficient AI and Model Acceleration, and Medical Image Analysis.

I am always open to research collaborations. If you are interested in working together or simply want to exchange ideas, please feel free to reach out to me via email. I am also happy to chat with graduate or undergraduate students over coffee chat ☕ or a virtual meeting 💻 — if you are a prospective graduate or undergraduate student, please include your CV/resume and availability in your email so we can make the most of our time together!

In my free time, I enjoy traveling ✈️, capturing moments through photography 📸, and making desserts 🍰.

📢 News & Achievements

Under Review

SimFlowSR: Consistent Information Flow with Self-similarity Aggregation for Single Image Super-Resolution

Chia-Ming Lee, Chih-Chung Hsu

Keywords

• Image Super-resolution (Stronger, faster DRCT)
• Information Bottleneck & Self-similarity Aggregation

Project Page Github

CVPR 2026

PhaSR: Generalized Image Shadow Removal with Physically Aligned Priors NEW

Chia-Ming Lee, Yu-Fan Lin, Yu-Jou Hsiao, Jin-Hui Jiang, Yu-Lun Liu, Chih-Chung Hsu

Keywords

• Single Image Shadow Removal
• Ambient Light Normalization

arxiv Github Project Page

CVPR 2026

ReflexSplit: Single Image Reflection Separation via Layer Fusion–Separation NEW

Chia-Ming Lee, Yu-Fan Lin, Jin-Hui Jiang, Yu-Jou Hsiao, Chih-Chung Hsu, Yu-Lun Liu

Keywords

• Single Image Reflection Separation

arxiv Github Project Page

WACV 2026

WWE-UIE: A Wavelet & White Balance Efficient Network for Underwater Image Enhancement

Ching-Heng Cheng, Jen-Wei Lee, Chia-Ming Lee, Chih-Chung Hsu

Keywords

• Under Water Image Enhancement
• Color Correction

arxiv Github

ACMMM 2025

DenseSR: Image Shadow Removal as Dense Prediction

Yu-Fan Lin, Chia-Ming Lee, Chih-Chung Hsu

Keywords

• Single Image Shadow Removal

arxiv Github

CVPRW 2024

DRCT: Saving Image Super-Resolution away from Information Bottleneck

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

Keywords

• Image Super-resolution
• Information Bottleneck

PDF arxiv Github Project page Poster Slide

TGRS 2026

PromptHSI: Universal Hyperspectral Image Restoration with Vision-Language Modulated Frequency Adaptation

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 & Text-Prompt Learning

arxiv Github Dataset

ICASSP 2026

HSSDCT: Factorized Spatial-Spectral Correlation for Hyperspectral Image Fusion

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

Keywords

• Hyperspectral Image Fusion

arxiv Github

Submitted to TGRS

AuroraHSI: An End-to-End Hyperspectral Image Fusion Method for Degraded Imagery

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

arxiv (Coming Soon) Github (Coming Soon)

Submitted to JSTARS

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

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

Keywords

• Efficient Hyperspectral Image Fusion
• Knowledge Distillation

arxiv (Coming Soon) Github (Coming Soon)

IGARSS 2025

Robust Hyperspectral Image Pansharpening via Sparse Spatial-Spectral Representation

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

Keywords

• Hyperspectral Image Pansharpening & Sparse Representation

arxiv

IGARSS 2025

HyperForensics++: Toward Adversarial Perturbed and Object Replacement in Hyperspectral Imaging Dataset

Chih-Chung Hsu, Chia-Ming Lee, Yu-Fan Lin, Min-Zo Ko, En-Zhao Liu, Yi-Ching Cheng, Ming-Ching Chang

Keywords

• Hyperspectral Image Forensics & Adversarial Attack

IGARSS 2025

HyFusion: Enhanced Reception Field Transformer for Hyperspectral Image Fusion

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

Keywords

• Hyperspectral Image Pansharpening

arxiv

TGRS 2024

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

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

Keywords

• Hyperspectral Image Restoration & Compressed Sensing
• Real-Time Transmission for CubeSat

paper Github

CVPR Findings 2026

ELSA: Exact Linear-Scan Attention for Fast and Memory-Light Vision Transformers NEW

Chih-Chung Hsu, Xin-Di Ma, Wo-Ting Liao, Chia-Ming Lee

Keywords

• Hardware-Agnostic Transformer Acceleration
• Exact Linear-Scan Attention

Under Review

FracQuant: Fractal Complexity Assessment for Content-aware Image Super-resolution Network Quantization

Chia-Ming Lee, Yu-Fan Lin, Fu-En Yang, Yu-Chiang Frank Wang, Chih-Chung Hsu

Keywords

• Fractal Coding for Image Compression
• Network Compression and Quantization

IJCV 2026

UMCL: Unimodal-generated Multimodal Contrastive Learning for Cross-compression-rate Deepfake Detection NEW

Ching-Yi Lai, Chih-Yu Jian, Pei-Cheng Chuang, Chia-Ming Lee, Chih-Chung Hsu, Chiou-Ting Hsu, Chia-Wen Lin

Keywords

• Multimodality Contrastive Learning
• Robust DeepFake Detection

arxiv

Submitted to TIFS

Towards Robust DeepFake Detection under Unstable Face Sequences: Adaptive Sparse Graph Embedding with Order-Free Representation and Explicit Laplacian Spectral Prior

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

Keywords

• Adversarial Attack
• Graph Convolutional Network
• Robust DeepFake Detection

arxiv

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

Keywords

• Social Media Popularity Prediction
• LLM-guided Feature Expansion

arxiv

ACMMM 2024

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

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

Keywords

• Social Media Popularity Prediction
• Multimodal Feature Alignment

arxiv

ACMMM 2023

Gradient Boost Tree Network based on Extensive Feature Analysis for Popularity Prediction of Social Posts

Chih-Chung Hsu, Chia-Ming Lee, Xiu-Yu Hou, Chi-Han Tsai

Keywords

• Social Media Popularity Prediction
• Multimodal Time Series Data

paper

Under Review

DSSFT: Dense Spatial-Slice Fusion Transformer for Medical Volumetric Super-Resolution

I-An Tsai, Chia-Ming Lee, Shen-Chieh Tai, Chun-Rong Huang, Chih-Chung Hsu

Keywords

• 3D Medical Volumetric Super-Resolution

ICCVW 2025

Taming Domain Shift in Multi-source CT-Scan Classification via Input-Space Standardization

Chia-Ming Lee, Bo-Cheng Qiu, Ting-Yao Chen, Ming-Han Sun, Fang-Ying Lin, Jung-Tse Tsai, I-An Tsai, Chih-Chung Hsu

Keywords

• Kernel-density Guided Sampling
• Multi-source Domain Adaption

paper

CVPRW 2024

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

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

Keywords

• Computed Tomography Scanning
• Mathematical Morphology

paper Github

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

Keywords

• Gastrointestinal Image
• Multitask Learning

paper

ICASSPW 2023

Bag of Tricks of Hybrid Network for Covid-19 Detection of CT Scans

Chih-Chung Hsu, Chih-Yu Jian, Chia-Ming Lee, Chi-Han Tsai, Shen-Chieh Tai

Keywords

• Computed Tomography Scanning
• Ensemble Learning

paper

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

Keywords

• Fisheye Camera
• Object Detection and Tracking

MIPR 2024

OmniDet: Omnidirectional Object Detection via Fisheye Camera Adaptation

Chih-Chung Hsu, Wei-Hao Huang, Wen-Hai Tseng, Ming-Hsuan Wu, Ren-Jung Xu, Chia-Ming Lee

Keywords

• Fisheye Camera
• Object Detection

ICCVW 2023

MISS: Memory-efficient Instance Segmentation Framework By Visual Inductive Priors Flow Propagation

Chih-Chung Hsu, Chia-Ming Lee

Keywords

• Few-shot Learning
• Instance Segmentation

MMAsia 2023

Adapting Object Detection to Fisheye Cameras: A Knowledge Distillation with Semi-Pseudo-Label Approach

Chih-Chung Hsu, Wen-Hai Tseng, Ming-Husan Wu, Chia-Ming Lee, Wei-Hao Huang

Keywords

• Fisheye Camera
• Object Detection

APCCAS 2025

OCR is All you need: Importing Multi-Modality into Image-based Defect Classification System

Chih-Chung Hsu, Chia-Ming Lee, Po-Tsun Yu, Chun-Hung Sun, Kuang-Ming Wu

Keywords

• Multimodal Defect Classification
• OCR-based Feature Extraction