1 citations · 1 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency
Weide Liu, Jingwen Hou, Xiaoyang Zhong +4
Deep learning-based brain tumor segmentation (BTS) models for multi-modal MRI images have seen significant advancements in recent years. However, a common problem in practice is th…
Integrating Large Pre-trained Models into Multimodal Named Entity Recognition with Evidential Fusion
Weide Liu, Xiaoyang Zhong, Jingwen Hou +3
Multimodal Named Entity Recognition (MNER) is a crucial task for information extraction from social media platforms such as Twitter. Most current methods rely on attention weights…