240 citations · 1.3k across the 195 of their papers we have counts for
21 papers · 1 filter
DDH-QA: A Dynamic Digital Humans Quality Assessment Database
Zicheng Zhang, Yingjie Zhou, Wei Sun +4
In recent years, large amounts of effort have been put into pushing forward the real-world application of dynamic digital human (DDH). However, most current quality assessment rese…
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop
Weixia Zhang, Dingquan Li, Xiongkuo Min +4
No-reference image quality assessment (NR-IQA) aims to quantify how humans perceive visual distortions of digital images without access to their undistorted references. NR-IQA mode…
Perceptual Quality Assessment for Digital Human Heads
Zicheng Zhang, Yingjie Zhou, Wei Sun +3
Digital humans are attracting more and more research interest during the last decade, the generation, representation, rendering, and animation of which have been put into large amo…
MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment
Zicheng Zhang, Wei Sun, Xiongkuo Min +4
The visual quality of point clouds has been greatly emphasized since the ever-increasing 3D vision applications are expected to provide cost-effective and high-quality experiences…
Evaluating Point Cloud from Moving Camera Videos: A No-Reference Metric
Zicheng Zhang, Wei Sun, Yucheng Zhu +4
Point cloud is one of the most widely used digital representation formats for three-dimensional (3D) contents, the visual quality of which may suffer from noise and geometric shift…
Perceptual Quality Assessment of Omnidirectional Images
Huiyu Duan, Guangtao Zhai, Xiongkuo Min +3
Omnidirectional images and videos can provide immersive experience of real-world scenes in Virtual Reality (VR) environment. We present a perceptual omnidirectional image quality a…
Subjective Quality Assessment for Images Generated by Computer Graphics
Tao Wang, Zicheng Zhang, Wei Sun +3
With the development of rendering techniques, computer graphics generated images (CGIs) have been widely used in practical application scenarios such as architecture design, video…
Deep Neural Network for Blind Visual Quality Assessment of 4K Content
Wei Lu, Wei Sun, Xiongkuo Min +7
The 4K content can deliver a more immersive visual experience to consumers due to the huge improvement of spatial resolution. However, existing blind image quality assessment (BIQA…
Blind Surveillance Image Quality Assessment via Deep Neural Network Combined with the Visual Saliency
Wei Lu, Wei Sun, Wenhan Zhu +4
The intelligent video surveillance system (IVSS) can automatically analyze the content of the surveillance image (SI) and reduce the burden of the manual labour. However, the SIs m…
A No-Reference Deep Learning Quality Assessment Method for Super-resolution Images Based on Frequency Maps
Zicheng Zhang, Wei Sun, Xiongkuo Min +4
To support the application scenarios where high-resolution (HR) images are urgently needed, various single image super-resolution (SISR) algorithms are developed. However, SISR is…
Perceptual Quality Assessment for Fine-Grained Compressed Images
Zicheng Zhang, Wei Sun, Wei Wu +3
Recent years have witnessed the rapid development of image storage and transmission systems, in which image compression plays an important role. Generally speaking, image compressi…
Video-based Human-Object Interaction Detection from Tubelet Tokens
Danyang Tu, Wei Sun, Xiongkuo Min +2
We present a novel vision Transformer, named TUTOR, which is able to learn tubelet tokens, served as highly-abstracted spatiotemporal representations, for video-based human-object…
A No-reference Quality Assessment Metric for Point Cloud Based on Captured Video Sequences
Yu Fan, Zicheng Zhang, Wei Sun +5
Point cloud is one of the most widely used digital formats of 3D models, the visual quality of which is quite sensitive to distortions such as downsampling, noise, and compression.…
Deep Decomposition and Bilinear Pooling Network for Blind Night-Time Image Quality Evaluation
Qiuping Jiang, Jiawu Xu, Yudong Mao +3
Blind image quality assessment (BIQA), which aims to accurately predict the image quality without any pristine reference information, has been extensively concerned in the past dec…
A Deep Learning based No-reference Quality Assessment Model for UGC Videos
Wei Sun, Xiongkuo Min, Wei Lu +1
Quality assessment for User Generated Content (UGC) videos plays an important role in ensuring the viewing experience of end-users. Previous UGC video quality assessment (VQA) stud…
Saliency in Augmented Reality
Huiyu Duan, Wei Shen, Xiongkuo Min +3
With the rapid development of multimedia technology, Augmented Reality (AR) has become a promising next-generation mobile platform. The primary theory underlying AR is human visual…
Confusing Image Quality Assessment: Towards Better Augmented Reality Experience
Huiyu Duan, Xiongkuo Min, Yucheng Zhu +3
With the development of multimedia technology, Augmented Reality (AR) has become a promising next-generation mobile platform. The primary value of AR is to promote the fusion of di…
End-to-End Human-Gaze-Target Detection with Transformers
Danyang Tu, Xiongkuo Min, Huiyu Duan +3
In this paper, we propose an effective and efficient method for Human-Gaze-Target (HGT) detection, i.e., gaze following. Current approaches decouple the HGT detection task into sep…
Parameterized Image Quality Score Distribution Prediction
Yixuan Gao, Xiongkuo Min, Wenhan Zhu +2
Recently, image quality has been generally describedby a mean opinion score (MOS). However, we observe that thequality scores of an image given by a group of subjects are verysubje…
Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows
Danyang Tu, Xiongkuo Min, Huiyu Duan +3
This paper presents a new vision Transformer, named Iwin Transformer, which is specifically designed for human-object interaction (HOI) detection, a detailed scene understanding ta…
A Brief Survey on Adaptive Video Streaming Quality Assessment
Wei Zhou, Xiongkuo Min, Hong Li +1
Quality of experience (QoE) assessment for adaptive video streaming plays a significant role in advanced network management systems. It is especially challenging in case of dynamic…