3 citations · 6 across the 13 of their papers we have counts for
15 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…
Computational Analysis of Degradation Modeling in Blind Panoramic Image Quality Assessment
Jiebin Yan, Ziwen Tan, Jiale Rao +3
Blind panoramic image quality assessment (BPIQA) has recently brought new challenge to the visual quality community, due to the complex interaction between immersive content and hu…
Max360IQ: Blind Omnidirectional Image Quality Assessment with Multi-axis Attention
Jiebin Yan, Ziwen Tan, Yuming Fang +2
Omnidirectional image, also called 360-degree image, is able to capture the entire 360-degree scene, thereby providing more realistic immersive feelings for users than general 2D i…
Omnidirectional Image Quality Captioning: A Large-scale Database and A New Model
Jiebin Yan, Ziwen Tan, Yuming Fang +3
The fast growing application of omnidirectional images calls for effective approaches for omnidirectional image quality assessment (OIQA). Existing OIQA methods have been developed…
Multitask Auxiliary Network for Perceptual Quality Assessment of Non-Uniformly Distorted Omnidirectional Images
Jiebin Yan, Jiale Rao, Junjie Chen +3
Omnidirectional image quality assessment (OIQA) has been widely investigated in the past few years and achieved much success. However, most of existing studies are dedicated to sol…
Subjective and Objective Quality Assessment of Non-Uniformly Distorted Omnidirectional Images
Jiebin Yan, Jiale Rao, Xuelin Liu +3
Omnidirectional image quality assessment (OIQA) has been one of the hot topics in IQA with the continuous development of VR techniques, and achieved much success in the past few ye…
Video Quality Assessment for Online Processing: From Spatial to Temporal Sampling
Jiebin Yan, Lei Wu, Yuming Fang +3
With the rapid development of multimedia processing and deep learning technologies, especially in the field of video understanding, video quality assessment (VQA) has achieved sign…
Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
Junjie Chen, Jiebin Yan, Yuming Fang +1
Category-agnostic pose estimation (CAPE) aims to predict keypoints for arbitrary classes given a few support images annotated with keypoints. Existing methods only rely on the feat…
Perceptually Optimized Deep High-Dynamic-Range Image Tone Mapping
Chenyang Le, Jiebin Yan, Yuming Fang +1
We describe a deep high-dynamic-range (HDR) image tone mapping operator that is computationally efficient and perceptually optimized. We first decompose an HDR image into a normali…
Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition
Jiebin Yan, Yu Zhong, Yuming Fang +2
Semantic segmentation is an extensively studied task in computer vision, with numerous methods proposed every year. Thanks to the advent of deep learning in semantic segmentation,…