Many computational linguistic methods have been proposed to study the
in...
This paper proposes an efficient and effective method for joint gaze loc...
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...
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...
Digital humans have witnessed extensive applications in various domains,...
Cancer development is associated with aberrant DNA methylation, includin...
Nowadays, most 3D model quality assessment (3DQA) methods have been aime...
Ancestry-specific proteome-wide association studies (PWAS) based on
gene...
With the rapid advancements of the text-to-image generative model,
AI-ge...
We study the problem of learning optimal policy from a set of discrete
t...
Denoising Diffusion Probabilistic Models (DDPM) have shown remarkable
ef...
User-generated content (UGC) live videos are often bothered by various
d...
AI Generated Content (AIGC) has
gained widespread attention with the inc...
Computer graphics images (CGIs) are artificially generated by means of
c...
We investigate the parameter estimation and forecasting of two forms of ...
Local features and contextual dependencies are crucial for 3D point clou...
Point cloud processing methods exploit local point features and global
c...
With the explosive increase of User Generated Content (UGC), UGC video
q...
Currently, great numbers of efforts have been put into improving the
eff...
There has been a surge of interest in learning optimal decision trees us...
Human-AI complementarity is important when neither the algorithm nor the...
In recent years, large amounts of effort have been put into pushing forw...
Camouflaged objects are seamlessly blended in with their surroundings, w...
Deep reinforcement learning (DRL) breaks through the bottlenecks of
trad...
Human-centered wireless sensing aims to understand the fine-grained
envi...
WiFi-based indoor localization has now matured for over a decade. Most o...
Simultaneous Localization Mapping (SLAM) is the process of building ...
Digital humans are attracting more and more research interest during the...
The visual quality of point clouds has been greatly emphasized since the...
Point cloud is one of the most widely used digital representation format...
Spatiotemporal forecasting is an imperative topic in data science due to...
Deep Learning has greatly advanced the performance of semantic segmentat...
Incorporating prior knowledge into pre-trained language models has prove...
During the Covid, online meetings have become an indispensable part of o...
With the abundance of available data, many enterprises seek to implement...
Depth estimation enables a wide variety of 3D applications, such as robo...
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...
Tensor Cores have been an important unit to accelerate Fused Matrix
Mult...
We present a novel vision Transformer, named TUTOR, which is able to lea...
Smart grid plays a crucial role for the smart society and the upcoming c...
Quality assessment for User Generated Content (UGC) videos plays an impo...
Nanodrone swarm is formulated by multiple light-weight and low-cost
nano...
Automated medical coding, an essential task for healthcare operation and...