Kuiper's statistic is a good measure for the difference of ideal distrib...
Due to the flexible representation of arbitrary-shaped scene text and si...
Preprints play an increasingly critical role in academic communities. Th...
Multimodal summarization usually suffers from the problem that the
contr...
Artificial intelligence (AI) has been widely used in bioimage image anal...
Online resources such as WikiHow compile a wide range of scripts for
per...
In this paper, we propose a joint generative and contrastive representat...
Visual information extraction (VIE), which aims to simultaneously perfor...
Text image machine translation (TIMT) has been widely used in various
re...
Text image machine translation (TIMT) aims to translate texts embedded i...
Facial expression recognition (FER) is a challenging topic in artificial...
Due to the development of pre-trained language models, automated code
ge...
In the high-mobility scenarios of next-generation wireless communication...
When allocating objects among agents with equal rights, people often eva...
Zernike circular polynomials (ZCP) play a significant role in optics
eng...
Automatic test generation can help verify and develop the behavior of mo...
The project-driven STEM education plays a significant role in training
s...
The complete elliptic integral of the first kind (CEI-1) plays in a
sign...
A Dockerfile defines a set of instructions to build Docker images, which...
A common scenario of Multilingual Neural Machine Translation (MNMT) is t...
Zernike radial polynomials play a significant role in application areas ...
Pre-trained code generation models (PCGMs) have been widely applied in n...
The area of transfer learning comprises supervised machine learning meth...
Contrastive self-supervised learning (CSL) based on instance discriminat...
Medical anomaly detection is a crucial yet challenging task aiming at
re...
End-to-end text image translation (TIT), which aims at translating the s...
Source code is essential for researchers to reproduce the methods and
re...
Most of the existing semantic segmentation approaches with image-level c...
Information freshness, characterized by age of information (AoI), is
imp...
Cardiovascular diseases (CVDs) are the number one cause of death worldwi...
Chest X-ray (CXR) is the most typical radiological exam for diagnosis of...
Role-oriented dialogue summarization is to generate summaries for differ...
In this work, we study the maximin share (MMS) fair allocation of indivi...
Recent scene text detection methods are almost based on deep learning an...
Birds-eye-view (BEV) semantic segmentation is critical for autonomous dr...
For the 2D laser-based tasks, e.g., people detection and people tracking...
In many important applications of precision medicine, the outcome of int...
This paper presents Balloon, a scalable blockchain consensus protocol wh...
Texts in scene images convey critical information for scene understandin...
When solving the Helmholtz equation numerically, the accuracy of numeric...
Active speaker detection and speech enhancement have become two increasi...
This paper aims to address the problem of anomaly discovery in semantic
...
Real-world data often follows a long-tailed distribution, which makes th...
Entity linking aims to establish a link between entity mentions in a doc...
Edges are the fundamental visual element for discovering tiny obstacles ...
Text tracking is to track multiple texts in a video,and construct a
traj...
Self-supervised representation learning for visual pre-training has achi...
Scene text detection has drawn the close attention of researchers. Thoug...
Due to the large success in object detection and instance segmentation, ...
Dialogue summarization has drawn much attention recently. Especially in ...