42 Result(s)
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Article
Deep Learning-Based Image and Video Inpainting: A Survey
Image and video inpainting is a classic problem in computer vision and computer graphics, aiming to fill in the plausible and realistic content in the missing areas of images and videos. With the advance of de...
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Article
Vagus nerve electrical stimulation in the recovery of upper limb motor functional impairment after ischemic stroke
Ischemic stroke (IS) is characterized by high mortality, disability rates, and a high risk of recurrence. Motor dysfunction, such as limb hemiparesis, dysphagia, auditory disorders, and speech disorders, usual...
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Article
Research progress of epileptic seizure prediction methods based on EEG
At present, at least 30% of refractory epilepsy patients in the world cannot be effectively controlled and treated. The suddenness and unpredictability of seizures greatly affect the physical and mental health...
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Article
Long-range and cross-frequency neural modulation of gamma flicker on vigilance decrement
Vigilance decrement is a ubiquitous problem in attention-demanding tasks. Therefore, it is significant to develop neuromodulation methods to mitigate the negative neural effect of vigilance decrement. As one o...
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Article
Detection of dynamic changes of electrodermal activity to predict the classroom performance of college students
It is emphasized in the Self-regulated learning (SRL) framework that self-monitoring of learning state is vital for students to keep effective in studying. However, it’s still challenging to get an accurate an...
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Article
Open AccessTranscranial alternating current stimulation ameliorates emotional attention through neural oscillations modulation
Numerous clinical reports have suggested that psychopathy like schizophrenia, anxiety and depression is accompanied by early attentional abnormalities in emotional processing. Recently, the efficacy of transcr...
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Article
Open AccessAn anisotropic Chebyshev descriptor and its optimization for deformable shape correspondence
Shape descriptors have recently gained popularity in shape matching, statistical shape modeling, etc. Their discriminative ability and efficiency play a decisive role in these tasks. In this paper, we first pr...
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Article
Open AccessDeep unfolding multi-scale regularizer network for image denoising
Existing deep unfolding methods unroll an optimization algorithm with a fixed number of steps, and utilize convolutional neural networks (CNNs) to learn data-driven priors. However, their performance is limite...
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Article
PuzzleNet: Boundary-Aware Feature Matching for Non-Overlap** 3D Point Clouds Assembly
We address the 3D shape assembly of multiple geometric pieces without overlaps, a scenario often encountered in 3D shape design, field archeology, and robotics. Existing methods depend on strong assumptions on...
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Article
Open AccessJoint specular highlight detection and removal in single images via Unet-Transformer
Specular highlight detection and removal is a fundamental problem in computer vision and image processing. In this paper, we present an efficient end-to-end deep learning model for automatically detecting and ...
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Chapter and Conference Paper
A BCI Speller with 120 Commands Encoded by Hybrid P300 and SSVEP Features
Implementing higher speed and larger command sets for brain-computer interfaces (BCIs) has always been the pursuit of researchers, which is helpful to realize the technological applications. The hybrid BCIs jo...
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Chapter and Conference Paper
Optimization of Stimulus Color for SSVEP-Based Brain-Computer Interfaces in Mixed Reality
Visual Brain-Computer Interfaces (BCIs) often use LCDs or LEDs to present flickering stimuli, which limits its application scenarios. Mixed reality head-mounted displays (MRHMDs) have the potential of improvin...
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Chapter
Brain-Computer Interfaces in Visualized Medicine
The brain-computer interface (BCI), also known as a brain-machine interface (BMI), has attracted extensive attention in biomedical applications. More importantly, BCI technologies have substantially revolution...
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Article
Open AccessHypofunction of directed brain network within alpha frequency band in depressive patients: a graph-theoretic analysis
Directed brain networks may provide new insights into exploring physiological mechanism and neuromarkers for depression. This study aims to investigate the abnormalities of directed brain networks in depressiv...
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Article
LIST: low illumination scene text detector with automatic feature enhancement
Low illumination, under which discriminative clues are buried in the captured images, is an under-investigated but noteworthy issue in wild scene text detection. Existing deep learning approaches suffer from t...
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Article
Open AccessScene text removal via cascaded text stroke detection and erasing
Recent learning-based approaches show promising performance improvement for the scene text removal task but usually leave several remnants of text and provide visually unpleasant results. In this work, a novel...
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Article
Sensorimotor rhythm neurofeedback training relieves anxiety in healthy people
Timely relief of anxiety in healthy people is important, but there is little research on this topic at present. Neurofeedback training allows subjects to regulate their specific brain activities autonomously a...
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Chapter and Conference Paper
Robust Multi-view Registration of Point Sets with Laplacian Mixture Model
Point set registration is an essential step in many computer vision applications, such as 3D reconstruction and SLAM. Although there exist many registration algorithms for different purposes, however, this top...
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Article
Correction to: Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface
A correction to this paper has been published: https://doi.org/10.1007/s11571-021-09686-x
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Article
Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface
A brain–computer interface (BCI) can connect humans and machines directly and has achieved successful applications in the past few decades. Many new BCI paradigms and algorithms have been developed in recent y...
