most citedAssessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment

15 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2023

Prior Bilinear Based Models for Knowledge Graph Completion

Jiayi Li, Ruilin Luo, Jiaqi Sun +2

Bilinear based models are powerful and widely used approaches for Knowledge Graphs Completion (KGC). Although bilinear based models have achieved significant advances, these studie…

cs.CV2023★ 3 cited

Local Distortion Aware Efficient Transformer Adaptation for Image Quality Assessment

Kangmin Xu, Liang Liao, Jing Xiao +4

Image Quality Assessment (IQA) constitutes a fundamental task within the field of computer vision, yet it remains an unresolved challenge, owing to the intricate distortion conditi…

cs.CV2023★ 2 cited

TransRef: Multi-Scale Reference Embedding Transformer for Reference-Guided Image Inpainting

Taorong Liu, Liang Liao, Delin Chen +4

Image inpainting for completing complicated semantic environments and diverse hole patterns of corrupted images is challenging even for state-of-the-art learning-based inpainting m…

cs.CV2023★ 15 cited

Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment

Tianhe Wu, Shuwei Shi, Haoming Cai +4

Blind Omnidirectional Image Quality Assessment (BOIQA) aims to objectively assess the human perceptual quality of omnidirectional images (ODIs) without relying on pristine-quality…

eess.IV2019★ 1 cited

Domain Fingerprints for No-reference Image Quality Assessment

Weihao Xia, Yujiu Yang, Jing-Hao Xue +1

Human fingerprints are detailed and nearly unique markers of human identity. Such a unique and stable fingerprint is also left on each acquired image. It can reveal how an image wa…