1 citations · 1 across the 5 of their papers we have counts for
5 papers
Ask4VG: Risk-Aware Question Selection for Reducing Prior-Driven Answers in Medical VQA
Xiaorong Zhu, Qiang Li, Zibo Xu +2
Medical visual question answering requires models to ground their responses in image evidence, because visually unsupported answers can mislead downstream interpretation. However,…
NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Professional Image Quality Assessment (Track 1)
Guanyi Qin, Jie Liang, Bingbing Zhang +50
In this paper, we present an overview of the NTIRE 2026 challenge on the 3rd Restore Any Image Model in the Wild, specifically focusing on Track 1: Professional Image Quality Asses…
Redefining Quality Criteria and Distance-Aware Score Modeling for Image Editing Assessment
Xinjie Zhang, Qiang Li, Xiaowen Ma +3
Recent advances in image editing have heightened the need for reliable Image Editing Quality Assessment (IEQA). Unlike traditional methods, IEQA requires complex reasoning over mul…
Text-Visual Semantic Constrained AI-Generated Image Quality Assessment
Qiang Li, Qingsen Yan, Haojian Huang +3
With the rapid advancements in Artificial Intelligence Generated Image (AGI) technology, the accurate assessment of their quality has become an increasingly vital requirement. Prev…
Towards Robust Uncertainty-Aware Incomplete Multi-View Classification
Mulin Chen, Haojian Huang, Qiang Li
Handling incomplete data in multi-view classification is challenging, especially when traditional imputation methods introduce biases that compromise uncertainty estimation. Existi…