Efficient Moving Object Extraction in Compressed Low-Bit-Rate Video. - Chih-Chung Hsu; Hsuan-Ting Chang; Ting Cheng Chang (IIH-MSP, 2006)

An Improved Face Detection Method in Low-resolution Video. - Chih-Chung Hsu; Hsuan-Ting Chang; Ting Cheng Chang (IIH-MSP, 2007)

Accelerating vector quantization of images using modified run length coding for adaptive block representation and difference measurement. - Chih-Chung Hsu; Hsuan-Ting Chang (ISCAS, 2008)

Video forgery detection using correlation of noise residue. - Chih-Chung Hsu; Tzu-Yi Hung; Chia-Wen Lin; Chiou-Ting Hsu (MMSP, 2008)

Cooperative face hallucination using multiple references. - Chih-Chung Hsu; Chia-Wen Lin; Chiou-Ting Hsu; Hong-Yuan Mark Liao (ICME, 2009)

Face hallucination using Bayesian global estimation and local basis selection. - Chih-Chung Hsu; Chia-Wen Lin; Chiou-Ting Hsu; Hong-Yuan Mark Liao; Jen-Yu Yu (MMSP, 2010)

Image super-resolution via feature-based affine transform. - Chih-Chung Hsu; Chia-Wen Lin (MMSP, 2011)

Fast deconvolution-based image super-resolution using gradient prior. - Chun-Yu Lin; Chih-Chung Hsu; Chia-Wen Lin; Li-Wei Kang (VCIP, 2011)

Self-learning-based single image super-resolution of a highly compressed image. - Li-Wei Kang; Bo-Chi Chuang; Chih-Chung Hsu; Chia-Wen Lin; Chia-Hung Yeh (MMSP, 2013)

Objective quality assessment for image retargeting based on perceptual distortion and information loss. - Chih-Chung Hsu; Chia-Wen Lin; Yuming Fang; Weisi Lin (VCIP, 2013)

Video super-resolution via dynamic texture synthesis. - Chih-Chung Hsu; Li-Wei Kang; Chia-Wen Lin (MMSP, 2014)

Objective Quality Assessment for Image Retargeting Based on Perceptual Geometric Distortion and Information Loss. - Chih-Chung Hsu; Chia-Wen Lin; Yuming Fang; Weisi Lin (IEEE J. Sel. Top. Signal Process., 2014)

Temporally Coherent Superresolution of Textured Video via Dynamic Texture Synthesis. - Chih-Chung Hsu; Li-Wei Kang; Chia-Wen Lin (IEEE Trans. Image Process., 2015)

Learning-Based Joint Super-Resolution and Deblocking for a Highly Compressed Image. - Li-Wei Kang; Chih-Chung Hsu; Boqi Zhuang; Chia-Wen Lin; Chia-Hung Yeh (IEEE Trans. Multim., 2015)

Supervised-learning based face hallucination for enhancing face recognition. - Weng-Tai Su; Chih-Chung Hsu; Chia-Wen Lin; Weiyao Lin (ICASSP, 2016)

Unsupervised convolutional neural networks for large-scale image clustering. - Chih-Chung Hsu; Chia-Wen Lin (ICIP, 2017)

Social Media Prediction Based on Residual Learning and Random Forest. - Chih-Chung Hsu; Ying-Chin Lee; Ping-En Lu; Shian-Shin Lu; Hsiao-Ting Lai; Ching-Chu Huang; Chun Wang; Yang-Jiun Lin; Weng-Tai Su (ACM Multimedia, 2017)

Objective quality assessment for video retargeting based on spatio-temporal distortion analysis. - Chih-Chung Hsu; Chia-Wen Lin (VCIP, 2017)

Joint Pairwise Learning and Image Clustering Based on a Siamese CNN. - Weng-Tai Su; Chih-Chung Hsu; Ziling Huang; Chia-Wen Lin; Gene Cheung (ICIP, 2018)

An Iterative Refinement Approach for Social Media Headline Prediction. - Chih-Chung Hsu; Chia-Yen Lee; Ting-Xuan Liao; Jun-Yi Lee; Tsai-Yne Hou; Ying-Chu Kuo; Jing-Wen Lin; Ching-Yi Hsueh; Zhong-Xuan Zhang; Hsiang-Chin Chien (ACM Multimedia, 2018)

Learning to Detect Fake Face Images in the Wild. - Chih-Chung Hsu; Chia-Yen Lee; Yi-Xiu Zhuang (CoRR, 2018)

CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data. - Chih-Chung Hsu; Chia-Wen Lin (IEEE Trans. Multim., 2018)

SSSNet: Small-Scale-Aware Siamese Network for Gastric Cancer Detection. - Chih-Chung Hsu; Hsin-Ti Ma; Jun-Yi Lee (AVSS, 2019)

Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution. - Chih-Chung Hsu; Chia-Hsiang Lin (ICCV Workshops, 2019)

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. - Andreas Lugmayr; Nam Hyung Joon; Yu Seung Won; Guisik Kim; Dokyeong Kwon; Chih-Chung Hsu; Chia-Hsiang Lin; Yuanfei Huang; Xiaopeng Sun; Wen Lu; Jie Li 001; Martin Danelljan; et al. (ICCV Workshops, 2019)

Detecting Generated Image Based on a Coupled Network with Two-Step Pairwise Learning. - Yi-Xiu Zhuang; Chih-Chung Hsu (ICIP, 2019)

Popularity Prediction of Social Media based on Multi-Modal Feature Mining. - Chih-Chung Hsu; Li-Wei Kang; Chia-Yen Lee; Jun-Yi Lee; Zhong-Xuan Zhang; Shao-Min Wu (ACM Multimedia, 2019)

Stronger Baseline for Vehicle Re-Identification in the Wild. - Chih-Chung Hsu; Cing-Hao Hung; Chih-Yu Jian; Yi-Xiu Zhuang (VCIP, 2019)

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. - Andreas Lugmayr; Martin Danelljan; Radu Timofte; Manuel Fritsche; Shuhang Gu; Kuldeep Purohit; Praveen Kandula; Maitreya Suin; A. N. Rajagopalan 001; Nam Hyung Joon; Yu Seung Won; Guisik Kim; et al. (CoRR, 2019)

SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination. - Chih-Chung Hsu; Chia-Wen Lin; Weng-Tai Su; Gene Cheung (IEEE Trans. Image Process., 2019)

Learning to Predict Risky Driving Behaviors for Autonomous Driving. - Chih-Chung Hsu; Wen-Hai Tseng; Hao-Ting Yang (ICCE-TW, 2020)

Coupled Adversarial Learning for Single Image Super-Resolution. - Chih-Chung Hsu; Kuan-Yu Huang (SAM, 2020)

Rethinking Relation between Model Stacking and Recurrent Neural Networks for Social Media Prediction. - Chih-Chung Hsu; Wen-Hai Tseng; Hao-Ting Yang; Chia-Hsiang Lin; Chi-Hung Kao (ACM Multimedia, 2020)

Edge-Preserving Guided Semantic Segmentation for VIPriors Challenge. - Chih-Chung Hsu; Hsin-Ti Ma (CoRR, 2020)

Generative Adversarial Networks-based Face Hallucination with Identity-Preserving. - Chia-Hung Yeh; Daniel Chiu; Li-Wei Kang; Chih-Chung Hsu; Chen Lo (ICCE-TW, 2021)

Adaptive Distribution Learning with Statistical Hypothesis Testing for COVID-19 CT Scan Classification. - Guan-Lin Chen; Chih-Chung Hsu; Mei-Hsuan Wu (ICCVW, 2021)

Efficient-ROD: Efficient Radar Object Detection based on Densely Connected Residual Network. - Chih-Chung Hsu; Chieh Lee; Lin Chen; Min-Kai Hung; Andy Yu-Lun Lin; Xian-Yu Wang (ICMR, 2021)

Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Cheng-Ming Chiang; Hsien-Kai Kuo; Anastasia Sycheva; Radu Timofte; Min-Hung Chen; Man-Yu Lee; Yu-Syuan Xu; Yu Tseng; Shusong Xu; Jin Guo; Chao-Hung Chen; et al. (CoRR, 2021)

Visual Transformer with Statistical Test for COVID-19 Classification. - Chih-Chung Hsu; Guan-Lin Chen; Mei-Hsuan Wu (CoRR, 2021)

DCSN: Deep Compressed Sensing Network for Efficient Hyperspectral Data Transmission of Miniaturized Satellite. - Chih-Chung Hsu; Chia-Hsiang Lin; Chi-Hung Kao; Yen-Cheng Lin (IEEE Trans. Geosci. Remote. Sens., 2021)

Spatial-Slice Feature Learning Using Visual Transformer and Essential Slices Selection Module for COVID-19 Detection of CT Scans in the Wild. - Chih-Chung Hsu; Chi-Han Tsai; Guan-Lin Chen; Sin-Di Ma; Shen-Chieh Tai (ECCV Workshops (7), 2022)

DCSN: Deformable Convolutional Semantic Segmentation Neural Network for Non-Rigid Scenes. - Bor-Sheng Huang; Chih-Chung Hsu; Wo-Ting Liao; Han-Yi Kao; Xian-Yun Wang (ICASSP, 2022)

Few-Shot Semantic Segmentation based on Detail-Preserving-Aware Loss. - Chih-Chung Hsu; Sin-Di Ma (ICCE-TW, 2022)

COVID-19 Infection Percentage Prediction via Boosted Hierarchical Vision Transformer. - Chih-Chung Hsu; Sheng-Jay Dai; Shao-Ning Chen (ICIAP Workshops, 2022)

Augmented-Training-Aware Bisenet for Real-Time Semantic Segmentation. - Chih-Chung Hsu; Chieh Lee; Shen-Chieh Tai; Yun-Zhong Jiang (ICME Workshops, 2022)

GAN-Based Criminal Suspect Face Generator. - Sophia Yang; Jun-Teng Zhang; Chia-Wen Lin; Chih-Chung Hsu (ICS, 2022)

A Comprehensive Study of Spatiotemporal Feature Learning for Social Medial Popularity Prediction. - Chih-Chung Hsu; Pi-Ju Tsai; Ting-Chun Yeh; Xiu-Yu Hou (ACM Multimedia, 2022)

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Fengbin Lin; Jaemin Son; Sunho Kim; Gwenolé Quellec; Sarah Matta; Sharath M. Shankaranarayana; Yi-Ting Chen; et al. (CoRR, 2022)

Spatiotemporal Feature Learning Based on Two-Step LSTM and Transformer for CT Scans. - Chih-Chung Hsu; Chi-Han Tsai; Guan-Lin Chen; Sin-Di Ma; Shen-Chieh Tai (CoRR, 2022)

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. - Benjamin Kiefer; Matej Kristan; Janez Pers; Lojze Zust; Fabio Poiesi; Fabio Augusto de Alcantara Andrade; Alexandre Bernardino; Matthew Dawkins; Jenni Raitoharju; Yitong Quan; Adem Atmaca; Timon Höfer; et al. (CoRR, 2022)

A comprehensive study of age-related macular degeneration detection. - Chih-Chung Hsu; Chia-Yen Lee; Cheng-Jhong Lin; Hung Yeh (Multim. Tools Appl., 2022)

ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Fengbin Lin; Jaemin Son; Sunho Kim; Gwenolé Quellec; Sarah Matta; Sharath M. Shankaranarayana; Yi-Ting Chen; et al. (IEEE Trans. Medical Imaging, 2022)

Multimodality-aware Intra-dialytic Hypotension Classifier: A Bilingual NLP Approach to Classify Dialysis Records. - Ju-Yeh Yang; Tsung-Chun Lee; Chih-Yu Jian; Chih-Chung Hsu (BCB, 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 (ICASSP Workshops, 2023)

Identical Twins Verification with Fine-grained Recognition. - Chih-Chung Hsu; Pi-Ju Tsai (ICCE-Taiwan, 2023)

Prior-Guided Parallel Residual Bi-Fusion Network in USV Obstacle Detection. - Chih-Chung Hsu; Sophia Yang; Xiu-Yu Hou; Yu-An Jhang (ICCE-Taiwan, 2023)

Swift Concurrent Semantic Segmentation and Object Detection on Edge Devices. - Chih-Chung Hsu; Yun-Zhong Jiang; Wei-Hao Huang (ICME Workshops, 2023)

FPGA Implementation of Floating Point Linear Programming. - Chih-Chung Hsu; Pei-Jun Lee (ICSSE, 2023)

Seeing is Not Believing: Toward Forgery Detection for Hyperspectral Image. - Chih-Chung Hsu; Yu-An Jhang; Min-Tso Ko (IGARSS, 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 (ACM Multimedia, 2023)

Adapting Object Detection to Fisheye Cameras: A Knowledge Distillation with Semi-Pseudo-Label Approach. - Chih-Chung Hsu; Wen-Hai Tseng; Ming-Hsuan Wu; Chia-Ming Lee; Wei-Hao Huang (MMAsia, 2023)

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. - Benjamin Kiefer; Matej Kristan; Janez Pers; Lojze Zust; Fabio Poiesi; Fabio Augusto de Alcantara Andrade; Alexandre Bernardino; Matthew Dawkins; Jenni Raitoharju; Yitong Quan; Adem Atmaca; Timon Höfer; et al. (WACV (Workshops), 2023)

Strong Baseline and Bag of Tricks for COVID-19 Detection of CT Scans. - Chih-Chung Hsu; Chih-Yu Jian; Chia-Ming Lee; Chi-Han Tsai; Sheng-Chieh Dai (CoRR, 2023)

Deep learning-based vehicle trajectory prediction based on generative adversarial network for autonomous driving applications. - Chih-Chung Hsu; Li-Wei Kang; Shih-Yu Chen; I-Shan Wang; Ching-Hao Hong; Chuan-Yu Chang (Multim. Tools Appl., 2023)

Jointly Defending DeepFake Manipulation and Adversarial Attack Using Decoy Mechanism. - Guan-Lin Chen; Chih-Chung Hsu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

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 (APCCAS, 2024)

Prompt-guided Multi-modal contrastive learning for Cross-compression-rate Deepfake Detection. - Ching-Yi Lai; Chiou-Ting Hsu; Chih-Chung Hsu; Chia-Wen Lin (BMVC, 2024)

NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results. - Zheng Chen 014; Zongwei Wu; Eduard Zamfir; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Xiaokang Yang 001; Hongyuan Yu; Cheng Wan 006; Yuxin Hong; Zhijuan Huang; Yajun Zou; et al. (CVPR Workshops, 2024)

DRCT: Saving Image Super-Resolution away from Information Bottleneck. - Chih-Chung Hsu; Chia-Ming Lee; Yi-Shiuan Chou (CVPR Workshops, 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 (CVPR Workshops, 2024)

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report. - Bin Ren; Yawei Li 001; Nancy Mehta; Radu Timofte; Hongyuan Yu; Cheng Wan; Yuxin Hong; Bingnan Han; Zhuoyuan Wu; Yajun Zou; Yuqing Liu; Jizhe Li; et al. (CVPR Workshops, 2024)

VCDSet: A New Vehicle Collision Dataset In Asia Countries For Anticipating Accidents. - Chih-Chung Hsu; Yun-Zhong Jiang; Wei-Hao Huang (ICIP, 2024)

LFGN: Low-Level Feature-Guided Network For Adversarial Defense. - Chih-Chung Hsu; Ming-Hsuan Wu; En-Chao Liu (ICIP, 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 (MIPR, 2024)

MISS: Memory-efficient Instance Segmentation for Sport-Scenes with Visual Inductive Priors. - Chih-Chung Hsu; Chia-Ming Lee (MIPR, 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; Chih-Yu Jian; Chi-Han Tsai (ACM Multimedia, 2024)

QuantTune: Optimizing Model Quantization with Adaptive Outlier-Driven Fine Tuning. - Jiun-Man Chen; Yu-Hsuan Chao; Yu-Jie Wang; Ming-Der Shieh; Chih-Chung Hsu; Wei-Fen Lin (CoRR, 2024)

Simple 2D Convolutional Neural Network-based Approach 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 (CoRR, 2024)

OCR is All you need: Importing Multi-Modality into Image-based Defect Detection System. - Chih-Chung Hsu; Chia-Ming Lee; Chun-Hung Sun; Kuang-Ming Wu (CoRR, 2024)

Augment Before Copy-Paste: Data and Memory Efficiency-Oriented Instance Segmentation Framework for Sport-scenes. - Chih-Chung Hsu; Chia-Ming Lee; Ming-Shyen Wu (CoRR, 2024)

MISS: Memory-efficient Instance Segmentation Framework By Visual Inductive Priors Flow Propagation. - Chih-Chung Hsu; Chia-Ming Lee (CoRR, 2024)

Progressive Alignment with VLM-LLM Feature to Augment Defect Classification for the ASE Dataset. - Chih-Chung Hsu; Chia-Ming Lee; Chun-Hung Sun; Kuang-Ming Wu (CoRR, 2024)

NTIRE 2024 Challenge on Image Super-Resolution (⨉4): Methods and Results. - Zheng Chen 014; Zongwei Wu; Eduard Zamfir; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Xiaokang Yang 001; Hongyuan Yu; Cheng Wan 006; Yuxin Hong; Zhijuan Huang; Yajun Zou; et al. (CoRR, 2024)

CSAKD: Knowledge Distillation with Cross Self-Attention for Hyperspectral and Multispectral Image Fusion. - Chih-Chung Hsu; Chih-Chien Ni; Chia-Ming Lee; Li-Wei Kang (CoRR, 2024)

GRACE: Graph-Regularized Attentive Convolutional Entanglement with Laplacian Smoothing for Robust DeepFake Video Detection. - Chih-Chung Hsu; Shao-Ning Chen; Mei-Hsuan Wu; Yi-Fang Wang; Chia-Ming Lee; Yi-Shiuan Chou (CoRR, 2024)

Self-supervised Fusarium Head Blight Detection with Hyperspectral Image and Feature Mining. - Yu-Fan Lin; Ching-Heng Cheng; Bo-Cheng Qiu; Cheng-Jun Kang; Chia-Ming Lee; Chih-Chung Hsu (CoRR, 2024)

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 (CoRR, 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 (CoRR, 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 (IEEE Trans. Geosci. Remote. Sens., 2024)

QRCODE: Quasi-Residual Convex Deep Network for Fusing Misaligned Hyperspectral and Multispectral Images. - Chia-Hsiang Lin; Chih-Chung Hsu; Si-Sheng Young; Cheng-Ying Hsieh; Shen-Chieh Tai (IEEE Trans. Geosci. Remote. Sens., 2024)

COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. - Fares Bougourzi; Cosimo Distante; Fadi Dornaika; Abdelmalik Taleb-Ahmed; Abdenour Hadid; Suman Chaudhary; Wanting Yang; Yan Qiang; Talha Anwar; Mihaela Elena Breaban; Chih-Chung Hsu; Shen-Chieh Tai; et al. (Sensors, 2024)

Hyperspectral Tensor Completion Using Low-Rank Modeling and Convex Functional Analysis. - Chia-Hsiang Lin; Yangrui Liu; Chong-Yung Chi; Chih-Chung Hsu; Hsuan Ren; Tony Q. S. Quek (IEEE Trans. Neural Networks Learn. Syst., 2024)

NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results. - Zheng Chen 014; Jingkai Wang 003; Kai Liu; Jue Gong; Lei Sun 016; Zongwei Wu; Radu Timofte; Yulun Zhang 001; Jianxing Zhang; Jinlong Wu; Jun Wang; Zheng Xie; et al. (CVPR Workshops, 2025)

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results. - Zheng Chen 014; Kai Liu; Jue Gong; Jingkai Wang 003; Lei Sun 016; Zongwei Wu; Radu Timofte; Yulun Zhang 001; Xiangyu Kong; Xiaoxuan Yu; Hyunhee Park; Suejin Han; et al. (CVPR Workshops, 2025)

NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment. - Shuhao Han; Haotian Fan; Fangyuan Kong; Wenjie Liao; Chunle Guo; Chongyi Li; Radu Timofte; Liang Li; Tao Li; Junhui Cui; Yunqiu Wang; Yang Tai; et al. (CVPR Workshops, 2025)

NTIRE 2025 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Zhuyun Zhou; Cailan Chen; Zongwei Wu; Radu Timofte; Mingjia Li 001; Jin Hu; Hainuo Wang; Hengxing Liu; Jiarui Wang; Qiming Hu; et al. (CVPR Workshops, 2025)

NTIRE 2025 Challenge on Single Image Reflection Removal in the Wild: Datasets, Methods and Results. - Kangning Yang; Jie Cai 001; Ling Ouyang; Florin-Alexandru Vasluianu; Radu Timofte; Jiaming Ding; Huiming Sun; Lan Fu; Jinlong Li; Chiu Man Ho; Zibo Meng; Mingjia Li 001; et al. (CVPR Workshops, 2025)

Progressive Alignment with VLM-LLM Feature to Augment Defect Classification for the ASE Dataset. - Chih-Chung Hsu; Chia-Ming Lee; Po-Tsun Yu; Cheng-Jun Kang; Chun-Hung Sun; Kuang-Ming Wu (ICCE, 2025)

3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results. - Benjamin Kiefer; Lojze Zust; Jon Muhovic; Matej Kristan; Janez Pers; Matija Tersek; Uma Mudenagudi; Chaitra Desai; Arnold Wiliem; Marten Kreis; Nikhil Akalwadi; Yitong Quan; et al. (WACV (Workshops), 2025)

HyFusion: Enhanced Reception Field Transformer for Hyperspectral Image Fusion. - Chia-Ming Lee; Yu-Fan Lin; Yu-Hao Ho; Li-Wei Kang; Chih-Chung Hsu (CoRR, 2025)

Robust Hyperspectral Image Panshapring via Sparse Spatial-Spectral Representation. - Chia-Ming Lee; Yu-Fan Lin; Li-Wei Kang; Chih-Chung Hsu (CoRR, 2025)

3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results. - Benjamin Kiefer; Lojze Zust; Jon Muhovic; Matej Kristan; Janez Pers; Matija Tersek; Uma Mudenagudi; Chaitra Desai; Arnold Wiliem; Marten Kreis; Nikhil Akalwadi; Yitong Quan; et al. (CoRR, 2025)

NTIRE 2025 Challenge on Image Super-Resolution (⨉4): Methods and Results. - Zheng Chen 014; Kai Liu; Jue Gong; Jingkai Wang 003; Lei Sun 016; Zongwei Wu; Radu Timofte; Yulun Zhang 001; Xiangyu Kong; Xiaoxuan Yu; Hyunhee Park; Suejin Han; et al. (CoRR, 2025)

Technical Report for ICRA 2025 GOOSE 2D Semantic Segmentation Challenge: Leveraging Color Shift Correction, RoPE-Swin Backbone, and Quantile-based Label Denoising Strategy for Robust Outdoor Scene Understanding. - Chih-Chung Hsu; I-Hsuan Wu; Wen-Hai Tseng; Ching-Heng Cheng; Ming-Hsuan Wu; Jin-Hui Jiang; Yu-Jou Hsiao (CoRR, 2025)

NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment. - Shuhao Han; Haotian Fan; Fangyuan Kong; Wenjie Liao; Chunle Guo; Chongyi Li; Radu Timofte; Liang Li; Tao Li; Junhui Cui; Yunqiu Wang; Yang Tai; et al. (CoRR, 2025)

NTIRE 2025 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Zhuyun Zhou; Cailian Chen; Zongwei Wu; Radu Timofte; Mingjia Li 001; Jin Hu; Hainuo Wang; Hengxing Liu; Jiarui Wang; Qiming Hu; et al. (CoRR, 2025)

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling. - Chia-Ming Lee; Bo-Cheng Qiu; Ting-Yao Chen; Ming-Han Sun; Fang-Ying Lin; Jung-Tse Tsai; I-An Tsai; Yu-Fan Lin; Chih-Chung Hsu (CoRR, 2025)

DenseSR: Image Shadow Removal as Dense Prediction. - Yu-Fan Lin; Chia-Ming Lee; Chih-Chung Hsu (CoRR, 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; Yu-Fan Lin; Chih-Chung Hsu (CoRR, 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 (CoRR, 2025)