By applying the linearly implicit conservative difference scheme propose...
This paper targets a novel trade-off problem in generalizable prompt lea...
Synthesising a text-to-image model of high-quality images by guiding the...
Open-set fine-grained anomaly detection is a challenging task that requi...
Large Language Models (LLMs) can generate texts that carry the risk of
v...
Apprenticeship learning (AL) is a process of inducing effective
decision...
LLMs now exhibit human-like skills in various fields, leading to worries...
The archaeological dating of bronze dings has played a critical role in ...
Metacognitive skills have been commonly associated with preparation for
...
Current 3D instance segmentation models generally use multi-stage method...
Reconfigurable intelligent surfaces (RISs) have drawn much attention rec...
To reap the promising benefits of massive multiple-input multiple-output...
Nowadays, two-dimensional (2D) barcodes have been widely used in various...
Benefiting from its single-photon sensitivity, single-photon avalanche d...
We propose an interactive editing method that allows humans to help deep...
Scene understanding is an essential and challenging task in computer vis...
Single-source domain generalization (SDG) in medical image segmentation ...
Generating consistent and high-quality images from given texts is essent...
Unique scientific instruments designed and operated by large global
coll...
Instance segmentation on point clouds is crucially important for 3D scen...
Although deep-learning based methods for monocular pedestrian detection ...
As a promising approach in model compression, knowledge distillation imp...
Attention guidance is an approach to addressing dataset bias in deep
lea...
Unsupervised cross-modality medical image adaptation aims to alleviate t...
We report Tensorial Tomographic Differential Phase-Contrast microscopy
(...
We consider the problem of Multi-view 3D Face Reconstruction (MVR) with
...
Fast noninvasive probing of spatially varying decorrelating events, such...
Only parts of unlabeled data are selected to train models for most
semi-...
Denoising and demosaicking are two essential steps to reconstruct a clea...
This paper describes a vision and work in progress to elevate network
re...
3D modeling based on point clouds is an efficient way to reconstruct and...
With the emergence of large-scale open online courses and online academi...
Text content created by humans or language models is often stolen or mis...
In the age of big data, data integration is a critical step especially i...
Robust 3D mesh watermarking is a traditional research topic in computer
...
It is important to learn joint embedding for 3D shapes and text in diffe...
Noninvasive optical imaging through dynamic scattering media has numerou...
Normal map is an important and efficient way to represent complex 3D mod...
Whole-brain surface extraction is an essential topic in medical imaging
...
In exploratory data analysis of known classes of high dimensional data, ...
Bike sharing has become one of the major choices of transportation for
r...
Preterm labor is the leading cause of neonatal morbidity and mortality a...
Segmentation of intracranial aneurysms is an important task in medical
d...
Due to the absorption and scattering effects of the water, underwater im...
Millimeter wave (mmWave) band, or high frequencies such as THz, has larg...
Domain science applications and workflow processes are currently forced ...
In this paper, we exploit the correlation between nearby user equipment ...
Medicine is an important application area for deep learning models. Rese...
In this paper we attempt to address the problem of geometric multi-model...
Cardiotoxicity related to cancer therapies has become a serious issue,
d...