The potential of artificial upwelling (AU) as a means of lifting
nutrien...
With the rapid progress of large language models (LLMs), many downstream...
This paper is concerned with the problem of reconstructing an unknown
ra...
Urban traffic speed prediction aims to estimate the future traffic speed...
Image-text retrieval (ITR) is a challenging task in the field of multimo...
Vision-and-language (V-L) tasks require the system to understand both vi...
Recently, attention based models have been used extensively in many
sequ...
Graph contrastive learning (GCL) has been an emerging solution for graph...
The rollout of millimeter-wave (mmWave) cellular network enables us to
r...
Feature selection and instance selection are two important techniques of...
Knowledge graph embedding methods are important for knowledge graph
comp...
Space-time video super-resolution (STVSR) aims to construct a high space...
Anomaly detection or outlier detection is a common task in various domai...
Dynamic statistical process monitoring methods have been widely studied ...
Extractive text summarization aims at extracting the most representative...
While Machine Comprehension (MC) has attracted extensive research intere...
Instance segmentation is of great importance for many biological
applica...
Automatically generating radiology reports can improve current clinical
...
Registration is a fundamental task in medical robotics and is often a cr...
The causal structure for measurement bias (MB) remains controversial. Ai...
Estimating3D hand poses from RGB images is essentialto a wide range of
p...
To assess the knowledge proficiency of a learner, multiple choice questi...
Estimating the 3D hand pose from a monocular RGB image is important but
...
We study the problem of balancing effectiveness and efficiency in automa...
Feature selection aims to select a subset of features to optimize the
pe...
In this paper, we study the problem of balancing effectiveness and effic...
Scoliosis is a congenital disease that causes lateral curvature in the s...
Human tackle reading comprehension not only based on the given context i...
Semi-supervised learning has recently been attracting attention as an
al...
While deep learning makes significant achievements in Artificial Intelli...
Scoliosis is a congenital disease in which the spine is deformed from it...
Explainability is a gateway between Artificial Intelligence and society ...
Hand pose estimation is more challenging than body pose estimation due t...
In this work, we propose to resolve the issue existing in current deep
l...
Instance segmentation of biological images is essential for studying obj...
Despite outstanding contribution to the significant progress of Artifici...
This paper presents a novel framework, MGNER, for Multi-Grained Named En...
Echocardiography has become routinely used in the diagnosis of cardiomyo...
Being able to automatically discover synonymous entities from a large
fr...
Being able to recognize words as slots and detect the intent of an utter...
Answer selection and knowledge base question answering (KBQA) are two
im...
Hand pose estimation from a monocular RGB image is an important but
chal...
Question answering (QA) has achieved promising progress recently. Howeve...
The past few years have witnessed the flourishing of crowdsourced medica...
Medical knowledge graph is the core component for various medical
applic...
Radiation therapy (RT) is a common treatment for head and neck (HaN) can...
Methods: Our deep learning model, called AnatomyNet, segments OARs from ...
In this work, we present a fully automated lung computed tomography (CT)...
The Internet has revolutionized healthcare by offering medical informati...
In this work, we present a fully automated lung CT cancer diagnosis syst...