research
∙
09/09/2023
Latent Degradation Representation Constraint for Single Image Deraining
Since rain streaks show a variety of shapes and directions, learning the...
share
research
∙
08/09/2023
Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising
Real-world single image denoising is crucial and practical in computer v...
research
∙
07/15/2023
MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis
Early diagnosis of renal cancer can greatly improve the survival rate of...
research
∙
06/28/2023
Multi-IMU with Online Self-Consistency for Freehand 3D Ultrasound Reconstruction
Ultrasound (US) imaging is a popular tool in clinical diagnosis, offerin...
research
∙
05/30/2023
HQDec: Self-Supervised Monocular Depth Estimation Based on a High-Quality Decoder
Decoders play significant roles in recovering scene depths. However, the...
research
∙
05/13/2023
No-Reference Point Cloud Quality Assessment via Weighted Patch Quality Prediction
With the rapid development of 3D vision applications based on point clou...
research
∙
03/24/2023
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation
Current methods for few-shot segmentation (FSSeg) have mainly focused on...
research
∙
12/12/2022
CbwLoss: Constrained Bidirectional Weighted Loss for Self-supervised Learning of Depth and Pose
Photometric differences are widely used as supervision signals to train ...
research
∙
07/01/2022
Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound
Over the past decades, the incidence of thyroid cancer has been increasi...
research
∙
06/02/2022
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications
To understand human behaviors, action recognition based on videos is a c...
research
∙
05/25/2022
Structure Unbiased Adversarial Model for Medical Image Segmentation
Generative models have been widely proposed in image recognition to gene...
research
∙
04/14/2022
Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis
Ultrasound (US) imaging is widely used for anatomical structure inspecti...
research
∙
04/14/2022
HASA: Hybrid Architecture Search with Aggregation Strategy for Echinococcosis Classification and Ovary Segmentation in Ultrasound Images
Different from handcrafted features, deep neural networks can automatica...
research
∙
10/21/2021
MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation
With the emergence of service robots and surveillance cameras, dynamic f...
research
∙
10/05/2021
Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images
Anomaly detection in medical images refers to the identification of abno...
research
∙
07/05/2021
SM-SGE: A Self-Supervised Multi-Scale Skeleton Graph Encoding Framework for Person Re-Identification
Person re-identification via 3D skeletons is an emerging topic with grea...
research
∙
06/25/2021
VEGN: Variant Effect Prediction with Graph Neural Networks
Genetic mutations can cause disease by disrupting normal gene function. ...
research
∙
06/06/2021
Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification
Skeleton-based person re-identification (Re-ID) is an emerging open topi...
research
∙
03/22/2021
Rate-Diverse Gaussian Multiple Access: Efficient Encoder and Decoder Designs
In this work, we develop a pair of rate-diverse encoder and decoder for ...
research
∙
01/24/2021
Near-Optimal Detection for Both Data and Sneak-Path Interference in Resistive Memories with Random Cell Selector Failures
Resistive random-access memory is one of the most promising candidates f...
research
∙
10/15/2020
CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging
Automated detection of curvilinear structures, e.g., blood vessels or ne...
research
∙
09/05/2020
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification
Person re-identification (Re-ID) via gait features within 3D skeleton se...
research
∙
08/21/2020
Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification
Gait-based person re-identification (Re-ID) is valuable for safety-criti...
research
∙
08/09/2020
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
Anomaly detection in retinal image refers to the identification of abnor...
research
∙
08/01/2020
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition
Action recognition via 3D skeleton data is an emerging important topic i...
research
∙
05/06/2020
Performance Limit and Coding Schemes for Resistive Random-Access Memory Channels
Resistive random-access memory (ReRAM) is a promising candidate for the ...
research
∙
05/06/2020
Performance Limit and Code Design for Resistive Random-Access Memory Channels
Resistive random-access memory (ReRAM) is a promising candidate for the ...
research
∙
04/16/2020
Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation
Deformation field estimation is an important and challenging issue in ma...
research
∙
03/13/2020
Emotion Recognition From Gait Analyses: Current Research and Future Directions
Human gait refers to a daily motion that represents not only mobility, b...
research
∙
12/11/2019
BioNet: Infusing Biomarker Prior into Global-to-Local Network for Choroid Segmentation in Optical Coherence Tomography Images
Choroid is the vascular layer of the eye, which is directly related to t...
research
∙
11/28/2019
Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image
With the development of convolutional neural network, deep learning has ...
research
∙
10/26/2019
Dense Dilated Network with Probability Regularized Walk for Vessel Detection
The detection of retinal vessel is of great importance in the diagnosis ...
research
∙
08/09/2019
The Channel Attention based Context Encoder Network for Inner Limiting Membrane Detection
The optic disc segmentation is an important step for retinal image-based...
research
∙
08/06/2019
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis
Generative Adversarial Networks (GANs) have the capability of synthesizi...
research
∙
03/07/2019
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Medical image segmentation is an important step in medical image analysi...
research
∙
01/21/2019
A construction of UD k-ary multi-user codes from (2^m(k-1)+1)-ary codes for MAAC
In this paper, we proposed a construction of a UD k-ary T-user coding sc...
research
∙
09/09/2018
Towards Query Efficient Black-box Attacks: An Input-free Perspective
Recent studies have highlighted that deep neural networks (DNNs) are vul...
research
∙
08/31/2018
Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading Kang
Diabetic Retinopathy (DR) is a non-negligible eye disease among patients...
research
∙
05/19/2018
Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image
Glaucoma is a chronic eye disease that leads to irreversible vision loss...
research
∙
05/17/2018
Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis
Retinal fundus photographs have been used in the diagnosis of many ocula...
research
∙
04/22/2018
Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks
Discriminative features are critical for machine learning applications. ...
research
∙
01/03/2018
Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation
Glaucoma is a chronic eye disease that leads to irreversible vision loss...
research
∙
08/07/2016
Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition
The ever-growing popularity of Kinect and inertial sensors has prompted ...
research
∙
07/15/2013