Learning effective recommendation models from sparse user interactions
r...
Understanding the dynamics of unknown object is crucial for collaborativ...
Semantic communications (SC) have been expected to be a new paradigm shi...
Ligand-based drug design aims to identify novel drug candidates of simil...
Talking-head video editing aims to efficiently insert, delete, and subst...
Artistic style transfer aims to transfer the style of an artwork to a
ph...
The privacy and security of face data on social media are facing
unprece...
Detecting maliciously falsified facial images and videos has attracted
e...
The deep neural networks (DNNs) have freed the synthetic aperture radar
...
Recently, many works have been proposed to utilize the neural radiance f...
GAN inversion has been exploited in many face manipulation tasks, but 2D...
Deep-learning based face-swap videos, also known as deep fakes, are beco...
In this paper, we propose SelfNeRF, an efficient neural radiance field b...
Sequential recommendation aims to recommend the next item of users' inte...
Deep Neural Networks (DNNs) based Synthetic Aperture Radar (SAR) Automat...
This paper presents the summary report on our DFGC 2022 competition. The...
Earth observation satellites have been continuously monitoring the earth...
Session-based recommendation aims to generate recommendations for the ne...
Adversarial attacks seriously threaten the high accuracy of face
anti-sp...
In the classical prophet inequality, a gambler faces a sequence of items...
This paper introduces a post-training quantization (PTQ) method achievin...
Tensor contraction operations in computational chemistry consume signifi...
In this paper, we propose HeadNeRF, a novel NeRF-based parametric head m...
View synthesis aims to generate novel views from one or more given sourc...
This paper presents a summary of the DFGC 2021 competition. DeepFake
tec...
Maliciously-manipulated images or videos - so-called deep fakes - especi...
In recent years, virtual makeup applications have become more and more
p...
Pose-guided person image generation usually involves using paired
source...
Forecasting is challenging since uncertainty resulted from exogenous fac...
With increasing and extensive use of electronic health records, clinicia...
We study the parameter estimation problem of Vasicek Model driven by
sub...
Next-basket recommendation considers the problem of recommending a set o...
Learning to reconstruct 3D shapes using 2D images is an active research
...
Background initialization is an important step in many high-level
applic...
We developed a hybrid associations model (HAM) to generate sequential
re...
Recent researches show that machine learning has the potential to learn
...
Knowledge graph learning plays a critical role in integrating domain spe...
Sketch-based image retrieval (SBIR) is a challenging task due to the lar...
Video summarization aims to extract keyframes/shots from a long video.
P...
Cartoons receive increasingly attention and have a huge global market.
C...
Point clouds data, as one kind of representation of 3D objects, are the ...
Recently the GAN generated face images are more and more realistic with
...
This paper proposes a deep Convolutional Neural Network(CNN) with strong...
Person identification in the wild is very challenging due to great varia...
User intended actions are widely seen in many areas. Forecasting these
a...
Person re-identification is a popular research topic which aims at match...
In this paper we propose a novel decomposition method based on filter gr...
Subgraph counting aims to count the number of occurrences of a subgraph ...
This paper addresses the automatic image segmentation problem in a regio...