32 citations · 41 across the 9 of their papers we have counts for
9 papers
Memory-Augmented Online Test-Time Adaptation for EEG Motor Imagery via Perturbation Consistency and Confidence Calibration
Kunkun Zhang, Kehao Wu, Zhitao Chen +2
Recently, electroencephalography (EEG)-based brain--computer interfaces (BCIs) have gained traction as portable neural measurement systems. However, the practical deployment of the…
MHAF-YOLO: Multi-Branch Heterogeneous Auxiliary Fusion YOLO for accurate object detection
Zhiqiang Yang, Qiu Guan, Zhongwen Yu +5
Due to the effective multi-scale feature fusion capabilities of the Path Aggregation FPN (PAFPN), it has become a widely adopted component in YOLO-based detectors. However, PAFPN s…
IAFI-FCOS: Intra- and across-layer feature interaction FCOS model for lesion detection of CT images
Qiu Guan, Mengjie Pan, Feng Chen +4
Effective lesion detection in medical image is not only rely on the features of lesion region,but also deeply relative to the surrounding information.However,most current methods h…
DuEDL: Dual-Branch Evidential Deep Learning for Scribble-Supervised Medical Image Segmentation
Yitong Yang, Xinli Xu, Haigen Hu +3
Despite the recent progress in medical image segmentation with scribble-based annotations, the segmentation results of most models are still not ro-bust and generalizable enough in…
Deep Co-supervision and Attention Fusion Strategy for Automatic COVID-19 Lung Infection Segmentation on CT Images
Haigen Hu, Leizhao Shen, Qiu Guan +3
Due to the irregular shapes,various sizes and indistinguishable boundaries between the normal and infected tissues, it is still a challenging task to accurately segment the infecte…
Adaptively Customizing Activation Functions for Various Layers
Haigen Hu, Aizhu Liu, Qiu Guan +3
To enhance the nonlinearity of neural networks and increase their mapping abilities between the inputs and response variables, activation functions play a crucial role to model mor…
Training Deep Neural Networks for Wireless Sensor Networks Using Loosely and Weakly Labeled Images
Qianwei Zhou, Yuhang Chen, Baoqing Li +4
Although deep learning has achieved remarkable successes over the past years, few reports have been published about applying deep neural networks to Wireless Sensor Networks (WSNs)…
Residual-Recursion Autoencoder for Shape Illustration Images
Qianwei Zhou, Peng Tao, Xiaoxin Li +3
Shape illustration images (SIIs) are common and important in describing the cross-sections of industrial products. Same as MNIST, the handwritten digit images, SIIs are gray or bin…
Towards the Automation of Deep Image Prior
Qianwei Zhou, Chen Zhou, Haigen Hu +3
Single image inverse problem is a notoriously challenging ill-posed problem that aims to restore the original image from one of its corrupted versions. Recently, this field has bee…