Landslides are a common natural disaster that can cause casualties, prop...
Intracerebral hemorrhage (ICH) is the second most common and deadliest f...
Learning multi-label image recognition with incomplete annotation is gai...
Given a limited labeling budget, active learning (AL) aims to sample the...
Binary optimization has a wide range of applications in combinatorial
op...
With fewer feature dimensions, filter banks are often used in light-weig...
In recent years, the utilization of Artificial Intelligence (AI) in the
...
Optical wireless communication (OWC) offers several complementary advant...
To ensure that the data collected from human subjects is entrusted with ...
Human-centric perceptions include a variety of vision tasks, which have
...
Target speaker information can be utilized in speech enhancement (SE) mo...
The finite-state model checking of software is still limited by the noto...
Brain midline shift (MLS) is one of the most critical factors to be
cons...
The rise of intelligent reflecting surfaces (IRSs) is opening the door f...
Telephone transcription data can be very noisy due to speech recognition...
The sensitivity of the optical wireless communication (OWC) can be
effec...
Entity-level sentiment analysis predicts the sentiment about entities
me...
We present a simple yet effective method to train a named entity recogni...
Co-saliency detection (CoSOD) aims at discovering the repetitive salient...
Active regression considers a linear regression problem where the learne...
Online learning to rank (OLTR) interactively learns to choose lists of i...
Class distribution plays an important role in learning deep classifiers....
Recently, the cross-modal pre-training task has been a hotspot because o...
Deep segmentation models often face the failure risks when the testing i...
Domain generalization typically requires data from multiple source domai...
In recent years, there has been a growing interest in the use of
single-...
For agents at a contact centre receiving calls, the most important piece...
An Entity Linking system aligns the textual mentions of entities in a te...
Prompting methods recently achieve impressive success in few-shot learni...
Automatic surgical scene segmentation is fundamental for facilitating
co...
Cryo-electron tomography (cryo-ET) is an imaging technique that allows
t...
In online display advertising, guaranteed contracts and real-time biddin...
Advertisers usually enjoy the flexibility to choose criteria like target...
Single image deraining has been an important topic in low-level computer...
Adversarial learning-based image defogging methods have been extensively...
Video streaming usage has seen a significant rise as entertainment,
educ...
Photon counting detectors such as single-photon avalanche diode (SPAD) a...
Accurate determination of fuel properties of complex mixtures over a wid...
We study the smooth minimax optimization problem of the form min_
xmax_ ...
Automatic Speech Recognition (ASR) systems generally do not produce
punc...
We develop an assisted learning framework for assisting organization-lev...
Domain adaptation typically requires to access source domain data to uti...
Over the past few years, various word-level textual attack approaches ha...
Light-fidelity (LiFi) is an emerging technology for high-speed short-ran...
The key challenge in multiple-object tracking (MOT) task is temporal mod...
Automatic surgical workflow recognition is a key component for developin...
Federated learning allows distributed medical institutions to collaborat...
Recommender systems rely heavily on increasing computation resources to
...
Magnetic induction tomography (MIT) is an efficient solution for long-te...
Slot filling, a fundamental module of spoken language understanding, oft...