b'Jun Cheng'

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...

3 Jun Cheng, et al. ∙

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...

0 Weide Liu, et al. ∙

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 ...

8 Fei Wang, et al. ∙

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...

12 Han Huang, et al. ∙

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...

17 Fei Wu, et al. ∙

research

∙ 05/25/2022

Structure Unbiased Adversarial Model for Medical Image Segmentation

Generative models have been widely proposed in image recognition to gene...

0 Tianyang Zhang, et al. ∙

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...

16 Jiamin Liang, et al. ∙

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...

4 Jikuan Qian, et al. ∙

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...

9 Yepeng Liu, et al. ∙

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...

6 Kang Zhou, et al. ∙

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...

1 Haocong Rao, et al. ∙

research

∙ 06/25/2021

VEGN: Variant Effect Prediction with Graph Neural Networks

Genetic mutations can cause disease by disrupting normal gene function. ...

6 Jun Cheng, et al. ∙

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...

6 Haocong Rao, et al. ∙

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 ...

0 Pingping Chen, et al. ∙

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...

0 Guanghui Song, et al. ∙

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...

16 Lei Mou, et al. ∙

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...

9 Haocong Rao, et al. ∙

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...

14 Haocong Rao, et al. ∙

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...

5 Kang Zhou, et al. ∙

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...

3 Haocong Rao, et al. ∙

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 ...

0 Guanghui Song, et al. ∙

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 ...

0 Guanghui Song, et al. ∙

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...

0 Yujia Zhou, et al. ∙

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...

0 Shihao Xu, et al. ∙

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...

0 Huihong Zhang, et al. ∙

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 ...

0 Kang Zhou, et al. ∙

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 ...

5 Lei Mou, et al. ∙

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...

2 Hao Qiu, et al. ∙

research

∙ 08/06/2019

SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis

Generative Adversarial Networks (GANs) have the capability of synthesizi...

0 Tianyang Zhang, et al. ∙

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...

12 Zaiwang Gu, et al. ∙

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...

0 Shan Lu, et al. ∙

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...

0 Yali Du, et al. ∙

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...

0 Kang Zhou, et al. ∙

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...

0 Huazhu Fu, et al. ∙

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...

0 Jun Cheng, et al. ∙

research

∙ 04/22/2018

Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks

Discriminative features are critical for machine learning applications. ...

0 Fusheng Hao, et al. ∙

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...

0 Huazhu Fu, et al. ∙

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 ...

0 Yanan Guo, et al. ∙

research

∙ 07/15/2013

Multiview Hessian Discriminative Sparse Coding for Image Annotation

Sparse coding represents a signal sparsely by using an overcomplete dict...

0 Weifeng Liu, et al. ∙

Jun Cheng

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