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Article
Oriented R-CNN and Beyond
Currently, two-stage oriented detectors are superior to single-stage competitors in accuracy, but the step of generating oriented proposals is still time-consuming, thus hindering the inference speed. This pap...
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Article
M-RRFS: A Memory-Based Robust Region Feature Synthesizer for Zero-Shot Object Detection
With the goal to detect both the object categories appearing in the training phase and those never have been observed before testing, zero-shot object detection (ZSD) becomes a challenging yet anticipated task...
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Article
Open AccessDiverse and asymmetric patterns of single-neuron projectome in regulating interhemispheric connectivity
The corpus callosum, historically considered primarily for homotopic connections, supports many heterotopic connections, indicating complex interhemispheric connectivity. Understanding this complexity is cruci...
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Article
Frequency-specific functional difference between gyri and sulci in naturalistic paradigm fMRI
Disentangling functional difference between cortical folding patterns of gyri and sulci provides novel insights into the relationship between brain structure and function. Previous studies using resting-state ...
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Article
Open AccessImpaired cerebral microvascular endothelial cells integrity due to elevated dopamine in myasthenic model
Myasthenia gravis is an autoimmune disease characterized by pathogenic antibodies that target structures of the neuromuscular junction. However, some patients also experience autonomic dysfunction, anxiety, de...
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Article
Few-Shot Segmentation via Divide-and-Conquer Proxies
Few-Shot segmentation (FSS) is a marginally explored but challenging task that aims to identify unseen classes of objects with only a handful of densely annotated samples. By and large, current FSS approaches ...
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Article
Fewer is more: efficient object detection in large aerial images
Current mainstream object detection methods for large aerial images usually divide large images into patches and then exhaustively detect the objects of interest on all patches, no matter whether there exist o...
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Article
A Practical Adaptive Sinusoidal Vibration Control Strategy for Electro-Hydraulic Shake Table
The electro-hydraulic shake table (EHST) is an essential equipment for vibration tests. When performing sinusoidal vibration excitation, the acceleration response suffers from amplitude attenuation, phase dela...
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Article
Open AccessSemantic-aware knowledge distillation with parameter-free feature uniformization
Knowledge distillation aims to distill knowledge from teacher networks to train student networks. Distilling intermediate features has attracted much attention in recent years as it can be flexibly applied in ...
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Article
Adaptive structured sparse multiview canonical correlation analysis for multimodal brain imaging association identification
Multimodal brain imaging data can be obtained conveniently through rapidly advancing neuroimaging techniques. These multimodal data, which characterize the brain from distinct perspectives, offer a rare opport...
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Article
Class attention network for image recognition
Visual attention has become a popular and widely used component for image recognition. Although various attention-based methods have been proposed and achieved relatively competitive results, it is observed th...
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Chapter and Conference Paper
Prediction of Cognitive Scores by Joint Use of Movie-Watching fMRI Connectivity and Eye Tracking via Attention-CensNet
Brain functional connectivity under the naturalistic paradigm has been demonstrated to be better at predicting individual behaviors than other brain states, such as rest and task. Nevertheless, the state-of-th...
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Chapter and Conference Paper
A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding
Motor imagery (MI) electroencephalogram (EEG) decoding, as a core component widely used in noninvasive brain-computer interface (BCI) system, is critical to realize the interaction purpose of physical world an...
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Chapter and Conference Paper
Identification of Disease-Sensitive Brain Imaging Phenotypes and Genetic Factors Using GWAS Summary Statistics
Brain imaging genetics is a rapidly growing neuroscience area that integrates genetic variations and brain imaging phenotypes to investigate the genetic underpinnings of brain disorders. In this field, using m...
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Chapter and Conference Paper
Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder
A comparative study of large-scale species-shared and -specific functional connectomes, that are respectively inherited or diverged from their common ancestor, is important to the understanding of emergence an...
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Article
Open AccessIdentification of comutation in signaling pathways to predict the clinical outcomes of immunotherapy
Immune checkpoint blockades (ICBs) have emerged as a promising treatment for cancer. Recently, tumour mutational burden (TMB) and neoantigen load (NAL) have been proposed to be potential biomarkers to predict ...
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Article
Densely nested top-down flows for salient object detection
With the goal of identifying pixel-wise salient object regions from each input image, salient object detection (SOD) has been receiving great attention in recent years. One kind of mainstream SOD method is for...
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Article
Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-supervised Semantic Segmentation
Semantic segmentation with limited annotations, such as weakly supervised semantic segmentation (WSSS) and semi-supervised semantic segmentation (SSSS), is a challenging task that has attracted much attention ...
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Article
Continuous Swept-Sine Vibration Realization Combining Adaptive Sliding Mode Control and Inverse Model Compensation for Electro-hydraulic Shake Table
Electro-hydraulic shake table, also known as vibration simulator, is a kind of important rig for reliability tests. However, the realization of continuous swept-sine vibration signal with electro-hydraulic sha...
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Article
Cortical development coupling between surface area and sulcal depth on macaque brains
Postnatal development of cerebral cortex is associated with a variety of neuronal processes and is thus critical to development of brain function and cognition. Longitudinal changes of cortical morphology and ...
