54 citations · 60 across the 43 of their papers we have counts for
45 papers
Spectral World Renderer: Unified 3D Hyperspectral Unmixing
Chia-Ming Lee, Yu-Jou Hsiao, Ming-Ching Chang +3
Cameras and the foundation models built on them recognize what a 3D scene contains, but not what it is made of: surfaces of the same colour can be different materials. Hyperspectra…
Doctor Trigger: A Framework for Release-Bound Face Verification
Chia-Ming Lee, Chia-Yu Lin, Hung-Kai Huang +3
Face swapping and generative editing enable realistic facial manipulation, while online redistribution complicates publisher oversight of circulating face images. Existing approach…
Commit Locally, Exit Globally: Coordinating Adaptive Sampling and Early Exit in Diffusion Language Models
Chia-Ming Lee, Shao-Kai Liu, Ming-Ching Chang +3
Diffusion language models predict tokens in parallel but still require many iterative forward passes. Adaptive sampling accelerates local token commitment, while recent global stop…
VISTA: Validation-Guided Integration of Spatial and Temporal Foundation Models with Anatomical Decoding for Rare-Pathology VCE Event Detection -- after competition results
Bo-Cheng Qiu, Fang-Ying Lin, Ming-Han Sun +3
Capsule endoscopy event detection is challenging because clinically relevant findings are sparse, visually heterogeneous, and evaluated at the event level rather than by frame accu…
Cross-modal Affinity-aligned Multimodal Learning Analytics for Predicting Student Collaboration Satisfaction in Game-Based Learning
Wen-Hsin Tsai, Chia-Ming Lee, Yuk-Ying Tung
Collaborative game-based learning environments offer rich opportunities for small-group knowledge construction, yet automatically predicting student collaboration satisfaction rema…
Robust Deepfake Detection, NTIRE 2026 Challenge: Report
Benedikt Hopf, Radu Timofte, Chenfan Qu +54
Robustness is a long-overlooked problem in deepfake detection. However, detection performance is nearly worthless in the real world if it suffers under exposure to even slight imag…
ELSA: Exact Linear-Scan Attention for Fast and Memory-Light Vision Transformers
Chih-Chung Hsu, Xin-Di Ma, Wo-Ting Liao +1
Existing attention accelerators often trade exact softmax semantics, depend on fused Tensor Core kernels, or incur sequential depth that limits FP32 throughput on long sequences. W…
The Fourth Challenge on Image Super-Resolution (4) at NTIRE 2026: Benchmark Results and Method Overview
Zheng Chen, Kai Liu, Jingkai Wang +150
This paper presents the NTIRE 2026 image super-resolution (4) challenge, one of the associated competitions of the NTIRE 2026 Workshop at CVPR 2026. The challenge aims to r…
CANDLE: Illumination-Invariant Semantic Priors for Color Ambient Lighting Normalization
Rong-Lin Jian, Ting-Yao Chen, Yu-Fan Lin +4
Color ambient lighting normalization under multi-colored illumination is challenging due to severe chromatic shifts, highlight saturation, and material-dependent reflectance. Exist…
NTIRE 2026 Challenge on Single Image Reflection Removal in the Wild: Datasets, Results, and Methods
Jie Cai, Kangning Yang, Zhiyuan Li +50
In this paper, we review the NTIRE 2026 challenge on single-image reflection removal (SIRR) in the wild. SIRR is a fundamental task in image restoration. Despite progress in academ…
VISTA: Validation-Guided Integration of Spatial and Temporal Foundation Models with Anatomical Decoding for Rare-Pathology VCE Event Detection
Bo-Cheng Qiu, Yu-Fan Lin, Yu-Zhe Pien +4
Capsule endoscopy event detection is challenging because diagnostically relevant findings are sparse, visually heterogeneous, and embedded in long, noisy video streams, while evalu…
HSSDCT: Factorized Spatial-Spectral Correlation for Hyperspectral Image Fusion
Chia-Ming Lee, Yu-Hao Ho, Yu-Fan Lin +3
Hyperspectral image (HSI) fusion aims to reconstruct a high-resolution HSI (HR-HSI) by combining the rich spectral information of a low-resolution HSI (LR-HSI) with the fine spatia…
GTATrack: Winner Solution to SoccerTrack 2025 with Deep-EIoU and Global Tracklet Association
Rong-Lin Jian, Ming-Chi Luo, Chen-Wei Huang +3
Multi-object tracking (MOT) in sports is highly challenging due to irregular player motion, uniform appearances, and frequent occlusions. These difficulties are further exacerbated…
PhaSR: Generalized Image Shadow Removal with Physically Aligned Priors
Chia-Ming Lee, Yu-Fan Lin, Yu-Jou Hsiao +3
Shadow removal under diverse lighting conditions requires disentangling illumination from intrinsic reflectance, a challenge compounded when physical priors are not properly aligne…
ReflexSplit: Single Image Reflection Separation via Layer Fusion-Separation
Chia-Ming Lee, Yu-Fan Lin, Jin-Hui Jiang +3
Single Image Reflection Separation (SIRS) disentangles mixed images into transmission and reflection layers. Existing methods suffer from transmission-reflection confusion under no…
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, Chia-Ming Lee +2
Ensuring the authenticity of video content remains challenging as DeepFake generation becomes increasingly realistic and robust against detection. Most existing detectors implicitl…
UMCL: Unimodal-generated Multimodal Contrastive Learning for Cross-compression-rate Deepfake Detection
Ching-Yi Lai, Chih-Yu Jian, Pei-Cheng Chuang +4
In deepfake detection, the varying degrees of compression employed by social media platforms pose significant challenges for model generalization and reliability. Although existing…
WWE-UIE: A Wavelet & White Balance Efficient Network for Underwater Image Enhancement
Ching-Heng Cheng, Jen-Wei Lee, Chia-Ming Lee +1
Underwater Image Enhancement (UIE) aims to restore visibility and correct color distortions caused by wavelength-dependent absorption and scattering. Recent hybrid approaches, whic…
Anchoring Trends: Mitigating Social Media Popularity Prediction Drift via Feature Clustering and Expansion
Chia-Ming Lee, Bo-Cheng Qiu, Cheng-Jun Kang +5
Predicting online video popularity faces a critical challenge: prediction drift, where models trained on historical data rapidly degrade due to evolving viral trends and user behav…
Taming Domain Shift in Multi-source CT-Scan Classification via Input-Space Standardization
Chia-Ming Lee, Bo-Cheng Qiu, Ting-Yao Chen +6
Multi-source CT-scan classification suffers from domain shifts that impair cross-source generalization. While preprocessing pipelines combining Spatial-Slice Feature Learning (SSFL…
DenseSR: Image Shadow Removal as Dense Prediction
Yu-Fan Lin, Chia-Ming Lee, Chih-Chung Hsu
Shadows are a common factor degrading image quality. Single-image shadow removal (SR), particularly under challenging indirect illumination, is hampered by non-uniform content degr…
Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling
Chia-Ming Lee, Bo-Cheng Qiu, Ting-Yao Chen +6
We present our solution for the Multi-Source COVID-19 Detection Challenge, which classifies chest CT scans from four distinct medical centers. To address multi-source variability,…
NTIRE 2025 Image Shadow Removal Challenge Report
Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou +79
This work examines the findings of the NTIRE 2025 Shadow Removal Challenge. A total of 306 participants have registered, with 17 teams successfully submitting their solutions durin…
NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment
Shuhao Han, Haotian Fan, Fangyuan Kong +112
This paper reports on the NTIRE 2025 challenge on Text to Image (T2I) generation model quality assessment, which will be held in conjunction with the New Trends in Image Restoratio…