Contrastive Language-Image Pre-training (CLIP) has significantly boosted...
Graph neural networks (GNNs) update the hidden representations of vertic...
Most advanced unsupervised anomaly detection (UAD) methods rely on model...
Argument mining involves multiple sub-tasks that automatically identify
...
Modern image retrieval methods typically rely on fine-tuning pre-trained...
Face anti-spoofing (FAS) is an essential mechanism for safeguarding the
...
Efficient automatic segmentation of multi-level (i.e. main and branch)
p...
Document-level relation extraction (DocRE) predicts relations for entity...
Robust segmentation of infant brain MRI across multiple ages, modalities...
Human organs constantly undergo anatomical changes due to a complex mix ...
3D gaze estimation is most often tackled as learning a direct mapping be...
Learning precoding policies with neural networks enables low complexity
...
Accurate quantification of cerebral blood flow (CBF) is essential for th...
Physics-Informed Neural Networks (PINNs) have become a kind of attractiv...
Schizophrenia is a chronic neuropsychiatric disorder that causes distinc...
Recently, Transformers were shown to enhance the performance of multi-vi...
Learning discriminative deep feature embeddings by using million-scale
i...
Accurate quantification of cerebral blood flow (CBF) is essential for th...
Brain tissue segmentation has demonstrated great utility in quantifying ...
Knowledge graph embeddings (KGEs) compactly encode multi-relational know...
During the COVID-19 coronavirus epidemic, almost everyone wears a facial...
According to WHO statistics, there are more than 204,617,027 confirmed
C...
Unsupervised learning-based medical image registration approaches have
w...
Magnetic resonance imaging (MRI) noninvasively provides critical informa...
Although tremendous strides have been made in uncontrolled face detectio...
Current neuroimaging techniques provide paths to investigate the structu...
Multi-modal representation learning by pretraining has become an increas...
Optimizing power control in multi-cell cellular networks with deep learn...
Knowledge distillation aims at obtaining a small but effective deep mode...
Music annotation has always been one of the critical topics in the field...
Recent advances in the interdisciplinary scientific field of machine
per...
This paper derives rates of convergence of certain approximations of the...
Deep neural networks (DNNs) have been employed for designing wireless sy...
Cerebral blood volume (CBV) is a hemodynamic correlate of oxygen metabol...
The ability to extrapolate gene expression dynamics in living single cel...
Calcaneus is the largest tarsal bone designed to withstand the daily str...
Deep neural networks (DNNs) have been employed for designing wireless
ne...
The commercialization of deep learning creates a compelling need for
int...
Though tremendous strides have been made in uncontrolled face detection,...
Facial landmark localisation in images captured in-the-wild is an import...
In this paper, we propose a novel Global Norm-Aware Pooling (GNAP) block...
Residual radio resources are abundant in wireless networks due to dynami...
Convolutional neural networks have significantly boosted the performance...