Food computing has emerged as a prominent multidisciplinary field of res...
Deep neural networks are known to be vulnerable to adversarial attacks (...
Despite the significant progress in six degrees-of-freedom (6DoF) object...
Feature attribution aims to explain the reasoning behind a black-box mod...
We present Prompt Diffusion, a framework for enabling in-context learnin...
Stories about everyday situations are an essential part of human
communi...
Diffusion models are powerful, but they require a lot of time and data t...
Image editing using diffusion models has witnessed extremely fast-paced
...
Recently, skeleton-based human action has become a hot research topic be...
A new class of particle systems with sequential interaction is proposed ...
Virtual reality and augmented reality (XR) bring increasing demand for 3...
Neural Radiance Fields (NeRFs) are a powerful representation for modelin...
Implicit Neural Representations (INRs) encoding continuous multi-media d...
Graph convolutional networks (GCNs), which can model the human body skel...
Neural volumetric representations have shown the potential that Multi-la...
To what extent do pre-trained language models grasp semantic knowledge
r...
Representing visual signals by implicit representation (e.g., a coordina...
Despite the rapid development of Neural Radiance Field (NeRF), the neces...
In recent years, deep learning approaches have been proved good performa...
Many image processing networks apply a single set of static convolutiona...
Efficient video architecture is the key to deploying video recognition
s...
Due to the fast processing-speed and robustness it can achieve,
skeleton...
Image harmonization aims to improve the quality of image compositing by
...
Low-light images captured in the real world are inevitably corrupted by
...
The self-attention-based model, transformer, is recently becoming the le...
The promise of Deep Neural Network (DNN) powered Internet of Thing (IoT)...
In recent years, great success has been witnessed in building
problem-sp...
The recent explosive interest on transformers has suggested their potent...
Coronavirus disease 2019 (COVID-19) is a Public Health Emergency of
Inte...
This paper is dedicated to solve high-dimensional coupled FBSDEs with
no...
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that h...
Neural architecture search (NAS) has witnessed prevailing success in ima...
Deep learning-based methods have achieved remarkable success in image
re...
State-of-the-art pedestrian detection models have achieved great success...