Text-to-Image (T2I) generation with diffusion models allows users to con...
Using knowledge graphs to assist deep learning models in making
recommen...
We introduce the state-of-the-art deep learning Denoising Diffusion
Prob...
Applying powerful generative denoising diffusion models (DDMs) for downs...
Detecting abrupt changes in data distribution is one of the most signifi...
Domain generalization person re-identification (DG Re-ID) aims to direct...
Automatic human matting is highly desired for many real applications. We...
We are perceiving and communicating with the world in a multisensory man...
The colorectal polyps classification is a critical clinical examination....
Despite the considerable progress in automatic abdominal multi-organ
seg...
Diffusion probabilistic models (DPMs) have become a popular approach to
...
Most current AI systems rely on the premise that the input visual data a...
We present Dance2Music-GAN (D2M-GAN), a novel adversarial multi-modal
fr...
Action recognition has been a heated topic in computer vision for its wi...
The curse of dimensionality has been studied in different aspects. Howev...
With the growth of wearable devices, which are usually constrained in
co...
We propose Breath to Pair (B2P), a protocol for pairing and shared-key
g...
Current vision and language tasks usually take complete visual data (e.g...
In recent years, research about monitoring vital signs by smartphones gr...
People can easily imagine the potential sound while seeing an event. Thi...
Agglomerative hierarchical clustering (AHC) is one of the popular cluste...
In this work, we tackle the problem of ternary eye movement classificati...
With the arising concerns for the AI systems provided with direct access...
Measuring similarity between two objects is the core operation in existi...
A recent proposal of data dependent similarity called Isolation
Kernel/S...
We identify a fundamental issue in the popular Stochastic Neighbour Embe...
The storage manager, as a key component of the database system, is
respo...
Online crowdsourcing provides a scalable and inexpensive means to collec...
Deep learning within the context of point clouds has gained much researc...
This paper focuses on density-based clustering, particularly the Density...
Many distance-based algorithms exhibit bias towards dense clusters in
in...
The questions in a crowdsourcing task typically exhibit varying degrees ...
Many images, of natural or man-made scenes often contain Similar but Gen...