Model initialization techniques are vital for improving the performance ...
Deep learning (DL) has demonstrated its innate capacity to independently...
Human-Object Interaction (HOI) detection is a challenging computer visio...
Most existing studies on massive grant-free access, proposed to support
...
Neural networks (NN) have demonstrated remarkable capabilities in variou...
Automatic and accurate segmentation of aortic vessel tree (AVT) in compu...
Assessing the aesthetics of an image is challenging, as it is influenced...
Diffusion models have achieved remarkable success in text-to-image
gener...
No-reference video quality assessment (NR-VQA) for user generated conten...
Intravascular ultrasound (IVUS) is the preferred modality for capturing
...
Deep learning (DL) models are becoming state-of-the-art in segmenting
an...
Lung segmentation in chest X-rays (CXRs) is an important prerequisite fo...
Semantic communication is implemented based on shared background knowled...
Multiple object tracking (MOT) is an important technology in the field o...
In this work, we present an efficient multi-bit deep image watermarking
...
Automated segmentation of tuberculosis (TB)-consistent lesions in chest
...
Transformers have recently gained significant attention in the computer
...
The analysis and optimization of single intelligent reflecting surface
(...
Computer experiments with both qualitative and quantitative input variab...
Learning a powerful representation from point clouds is a fundamental an...
Recent progress on Transformers and multi-layer perceptron (MLP) models
...
Image quality assessment (IQA) is an important research topic for
unders...
Deep Q Network (DQN) has several limitations when applied in planning a ...
Most existing random access schemes for MTC simply adopt a uniform pream...
Single domain generalization aims to learn a model that performs well on...
Digital watermarking is widely used for copyright protection. Traditiona...
Video watermarking embeds a message into a cover video in an imperceptib...
Lossy Image compression is necessary for efficient storage and transfer ...
Experiments with both qualitative and quantitative factors occur frequen...
Handling digital images is almost always accompanied by a lossy compress...
Graphics Interchange Format (GIF) is a widely used image file format. Du...
Countries across the globe have been pushing strict regulations on the
p...
In machine learning based single image super-resolution, the degradation...
Could we compress images via standard codecs while avoiding artifacts? T...
Watermarking is the process of embedding information into an image that ...
In vivo diffusion tensor imaging (DTI) is a promising technique to
inves...
Grant-free massive access is an important technique for supporting massi...
Intelligent reflecting surface (IRS) is envisioned to be a promising sol...
Existing methods for robust multigroup multicast beamforming obtain feas...
Computer simulators are nowadays widely used to understand complex physi...
Effective detection of arrhythmia is an important task in the remote
mon...
The computer-aided diagnosis (CAD) systems can highly improve the reliab...
In follow-up designs, some additional factors with two or three levels m...
A dynamic texture (DT) refers to a sequence of images that exhibit tempo...
Mobile edge computing (MEC), affords service to the vicinity of mobile
d...