This paper proposes an efficient and effective method for joint gaze loc...
Recent deep learning-based optical flow estimators have exhibited impres...
We propose an agglomerative Transformer (AGER) that enables Transformer-...
Video shakiness is an unpleasant distortion of User Generated Content (U...
Blind video quality assessment (BVQA) plays an indispensable role in
mon...
Omnidirectional videos (ODVs) play an increasingly important role in the...
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...
Digital humans have witnessed extensive applications in various domains,...
In this paper, in order to get a better understanding of the human visua...
Nowadays, most 3D model quality assessment (3DQA) methods have been aime...
With the rapid advancements of the text-to-image generative model,
AI-ge...
Recently, Users Generated Content (UGC) videos becomes ubiquitous in our...
To bring digital avatars into people's lives, it is highly demanded to
e...
Transformers have shown significant effectiveness for various vision tas...
We aim at advancing blind image quality assessment (BIQA), which predict...
User-generated content (UGC) live videos are often bothered by various
d...
With the rapid growth of Internet video data amounts and types, a unifie...
AI Generated Content (AIGC) has
gained widespread attention with the inc...
Computer graphics images (CGIs) are artificially generated by means of
c...
Incorporating the audio stream enables Video Saliency Prediction (VSP) t...
With the explosive increase of User Generated Content (UGC), UGC video
q...
Currently, great numbers of efforts have been put into improving the
eff...
In recent years, large amounts of effort have been put into pushing forw...
Human motion synthesis is a long-standing problem with various applicati...
No-reference image quality assessment (NR-IQA) aims to quantify how huma...
Digital humans are attracting more and more research interest during the...
The visual quality of point clouds has been greatly emphasized since the...
Objective quality assessment of 3D point clouds is essential for the
dev...
Point cloud is one of the most widely used digital representation format...
Omnidirectional images and videos can provide immersive experience of
re...
Existing learning-based frame interpolation algorithms extract consecuti...
With the development of rendering techniques, computer graphics generate...
The 4K content can deliver a more immersive visual experience to consume...
The intelligent video surveillance system (IVSS) can automatically analy...
Point cloud is one of the most widely used digital formats of 3D models,...
To support the application scenarios where high-resolution (HR) images a...
Recent years have witnessed the rapid development of image storage and
t...
We present a novel vision Transformer, named TUTOR, which is able to lea...
Blind image quality assessment (BIQA), which aims to accurately predict ...
Quality assessment for User Generated Content (UGC) videos plays an impo...
With the rapid development of multimedia technology, Augmented Reality (...
With the development of multimedia technology, Augmented Reality (AR) ha...
This paper presents a new vision Transformer, named Iwin Transformer, wh...
In this paper, we propose an effective and efficient method for
Human-Ga...
Conversation is an essential component of virtual avatar activities in t...
Recently, image quality has been generally describedby a mean opinion sc...
Most video understanding methods are learned on high-quality videos. How...
While recent advances in deep neural networks have made it possible to r...
Current learning-based single image super-resolution (SISR) algorithms
u...
Algorithm unfolding creates an interpretable and parsimonious neural net...