12 papers
NTIRE 2026 Challenge on Efficient Low Light Image Enhancement: Methods and Results
Jiebin Yan, Chenyu Tu, Weixia Zhang +8
This paper presents a comprehensive review of the NITRE 2026 Efficient Low Light Image Enhancement (E-LLIE) Challenge, highlighting the proposed solutions and final outcomes. This…
Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Unified and Generalized Approach
Jiebin Yan, Kangcheng Wu, Jingwen Hou +3
Blind omnidirectional image quality assessment (BOIQA) presents a great challenge to the visual quality assessment community, due to different storage formats and diverse user view…
PanFoMa: A Lightweight Foundation Model and Benchmark for Pan-Cancer
Xiaoshui Huang, Tianlin Zhu, Yifan Zuo +7
Single-cell RNA sequencing (scRNA-seq) is essential for decoding tumor heterogeneity. However, pan-cancer research still faces two key challenges: learning discriminative and effic…
Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data
Weide Liu, Xiaoyang Zhong, Lu Wang +4
Unsupervised domain adaptation methods seek to generalize effectively on unlabeled test data, especially when encountering the common challenge in time series data that distributio…
Diffusion-based Facial Aesthetics Enhancement with 3D Structure Guidance
Lisha Li, Jingwen Hou, Weide Liu +2
Facial Aesthetics Enhancement (FAE) aims to improve facial attractiveness by adjusting the structure and appearance of a facial image while preserving its identity as much as possi…
Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Flexible and Effective Paradigm
Jiebin Yan, Kangcheng Wu, Junjie Chen +2
Most of existing blind omnidirectional image quality assessment (BOIQA) models rely on viewport generation by modeling user viewing behavior or transforming omnidirectional images…