Federated learning (FL) is a privacy-preserving paradigm for collaborati...
Chlorophyll concentration can well reflect the nutritional status and al...
In this work, a Cole-Hopf transformation based fourth-order
multiple-rel...
Virtual content instability caused by device pose tracking error remains...
In this paper, we first present the general propagation
multiple-relaxat...
In this work, we first develop a general mesoscopic multiple-relaxation-...
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...
The advances in AI-enabled techniques have accelerated the creation and
...
Static word embedding is still useful, particularly for context-unavaila...
Multi-view stereo depth estimation based on cost volume usually works be...
Transformer-based image denoising methods have achieved encouraging resu...
User-generated content (UGC) live videos are often bothered by various
d...
Next-generation augmented reality (AR) promises a high degree of
context...
Very unhealthy air quality is consistently connected with numerous disea...
Adversarial attack serves as a major challenge for neural network models...
In recent years, semi-supervised graph learning with data augmentation (...
Deep convolutional neural networks have achieved great progress in image...
In the past few years, Softmax has become a common component in neural
n...
We present that by predicting the spectrum in discrete space from the ph...
Bird's eye view (BEV) is widely adopted by most of the current point clo...
Visual embellishments, as a form of non-linguistic rhetorical figures, a...
3D object detection from monocular image(s) is a challenging and
long-st...
While pre-trained language models (LMs) have brought great improvements ...
Local image feature matching, aiming to identify and correspond similar
...
End-to-end text spotting has attached great attention recently due to it...
Image restoration under severe weather is a challenging task. Most of th...
Our facial skin presents subtle color change known as remote
Photoplethy...
Recent years have witnessed the rapid development of image storage and
t...
While there is increasing concern about the interpretability of neural
m...
Knowledge distillation (KD) has become a well established paradigm for
c...
The 3D Lookup Table (3D LUT) is a highly-efficient tool for real-time im...
Deep-learning-based approaches to depth estimation are rapidly advancing...
Recent years have witnessed an exponential growth in developing deep lea...
In this paper, we present DuReader_retrieval, a large-scale Chinese data...
Governments' net zero emission target aims at increasing the share of
re...
Local image feature matching under large appearance, viewpoint, and dist...
We performed a citation analysis on the Web of Science publications
cons...
In this paper, we focus on studying robustness evaluation of Chinese que...
The time-domain simulation is the fundamental tool for power system tran...
Deep learning approaches for semantic segmentation rely primarily on
sup...
Background: The current clinical workflow for esophageal gross tumor vol...
Artificial Intelligence (AI) has made significant progress in the past 5...
In the past decade, sarcasm detection has been intensively conducted in ...
While deep learning models have greatly improved the performance of most...
Considering the fact that students have different abilities to understan...
We propose a deep switching state space model (DS^3M) for efficient
infe...
Knowledge distillation (KD) has recently emerged as an efficacious schem...
We present a novel spectral machine learning (SML) method in screening f...
This paper presents BSTC (Baidu Speech Translation Corpus), a large-scal...
In ultra-dense LEO satellite networks, conventional communication-orient...