Effective patient monitoring is vital for timely interventions and impro...
Reinforcement learning has been increasingly applied in monitoring
appli...
Artificial Intelligence techniques can be used to classify a patient's
p...
Machine Unlearning is an emerging field that addresses data privacy issu...
Reinforcement learning is well known for its ability to model sequential...
Creating visually pleasing stylized ink paintings from 3D models is a
ch...
Multimodal medical data fusion has emerged as a transformative approach ...
In this paper, we focus on how artificial intelligence (AI) can be used ...
Self-attention-based models have achieved remarkable progress in short-t...
Machine unlearning (MU) is gaining increasing attention due to the need ...
Online learning and academic conferences have become pervasive and essen...
Searching by image is popular yet still challenging due to the extensive...
3D model reconstruction from a single image has achieved great progress ...
Synthesizing face images from monochrome sketches is one of the most
fun...
Sentiment analysis AKA opinion mining is one of the most widely used NLP...
What will happen when unsupervised learning meets diffusion models for
r...
Mental healthcare is one of the prominent parts of the healthcare indust...
It is difficult to design a visually appealing layout for common users, ...
We propose an interactive editing method that allows humans to help deep...
End-to-end generative methods are considered a more promising solution f...
Scene understanding is an essential and challenging task in computer vis...
There is a trend to fuse multi-modal information for 3D object detection...
Small targets are often submerged in cluttered backgrounds of infrared
i...
We propose GeoGCN, a novel geometric dual-domain graph convolution netwo...
Adverse weather conditions such as haze, rain, and snow often impair the...
Image smoothing is a fundamental low-level vision task that aims to pres...
Capturing both local and global features of irregular point clouds is
es...
The dynamic effects of smoke are impressive in illustration design, but ...
Animating 3D characters using motion capture data requires basic experti...
How will you repair a physical object with some missings? You may imagin...
Recently, haptic gloves have been extensively explored for various pract...
This paper presents a novel deep neural network framework for RGB-D sali...
Attention guidance is an approach to addressing dataset bias in deep
lea...
Snow is one of the toughest adverse weather conditions for object detect...
Autonomous sensory meridian response (ASMR) is a type of video contents
...
While the wisdom of training an image dehazing model on synthetic hazy d...
Rain is one of the most common weather which can completely degrade the ...
The intricacy of rainy image contents often leads cutting-edge deraining...
Drawing eyeliner is not an easy task for whom lacks experience in eye ma...
Point normal, as an intrinsic geometric property of 3D objects, not only...
Image filters are fast, lightweight and effective, which make these
conv...
3D modeling based on point clouds is an efficient way to reconstruct and...
We propose an interactive 3D character modeling approach from orthograph...
With the emergence of large-scale open online courses and online academi...
Many technologies have been developed in recent years to present audiovi...
Shape-changing interfaces are promising for users to change the physical...
Due to the influence of the new coronavirus disease (COVID-19), telework...
In this work, we propose an interactive general instruction framework
Sk...
This work proposes a compact robotic limb, AugLimb, that can augment our...
Constructing stroke correspondences between keyframes is one of the most...