6 citations · 7 across the 8 of their papers we have counts for
7 papers · 1 filter
Restore, Assess, Repeat: A Unified Framework for Iterative Image Restoration
I-Hsiang Chen, Isma Hadji, Enrique Sanchez +5
Image restoration aims to recover high quality images from inputs degraded by various factors, such as adverse weather, blur, or low light. While recent studies have shown remarkab…
RobustVisRAG: Causality-Aware Vision-Based Retrieval-Augmented Generation under Visual Degradations
I-Hsiang Chen, Yu-Wei Liu, Tse-Yu Wu +3
Vision-based Retrieval-Augmented Generation (VisRAG) leverages vision-language models (VLMs) to jointly retrieve relevant visual documents and generate grounded answers based on mu…
Exploring Probabilistic Modeling Beyond Domain Generalization for Semantic Segmentation
I-Hsiang Chen, Hua-En Chang, Wei-Ting Chen +2
Domain Generalized Semantic Segmentation (DGSS) is a critical yet challenging task, as domain shifts in unseen environments can severely compromise model performance. While recent…
The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report
Bin Ren, Hang Guo, Lei Sun +143
This paper presents a comprehensive review of the NTIRE 2025 Challenge on Single-Image Efficient Super-Resolution (ESR). The challenge aimed to advance the development of deep mode…
Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance
I-Hsiang Chen, Wei-Ting Chen, Yu-Wei Liu +2
Crowd counting and localization have become increasingly important in computer vision due to their wide-ranging applications. While point-based strategies have been widely used in…
RVSL: Robust Vehicle Similarity Learning in Real Hazy Scenes Based on Semi-supervised Learning
Wei-Ting Chen, I-Hsiang Chen, Chih-Yuan Yeh +4
Recently, vehicle similarity learning, also called re-identification (ReID), has attracted significant attention in computer vision. Several algorithms have been developed and obta…
ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation
Wei-Ting Chen, Cheng-Che Tsai, Hao-Yu Fang +3
Images acquired from rainy scenes usually suffer from bad visibility which may damage the performance of computer vision applications. The rainy scenarios can be categorized into t…