Search Results for author: Benyuan Liu

Found 19 papers, 0 papers with code

R2P: A Deep Learning Model from mmWave Radar to Point Cloud

no code implementations21 Jul 2022 Yue Sun, Honggang Zhang, Zhuoming Huang, Benyuan Liu

Recent research has shown the effectiveness of mmWave radar sensing for object detection in low visibility environments, which makes it an ideal technique in autonomous navigation systems.

3D Reconstruction Autonomous Navigation +4

A Knowledge-Based Decision Support System for In Vitro Fertilization Treatment

no code implementations27 Jan 2022 Xizhe Wang, Ning Zhang, Jia Wang, Jing Ni, Xinzi Sun, John Zhang, Zitao Liu, Yu Cao, Benyuan Liu

To improve the IVF success rate, we propose a knowledge-based decision support system that can provide medical advice on the treatment protocol and medication adjustment for each patient visit during IVF treatment cycle.


DeepPoint: A Deep Learning Model for 3D Reconstruction in Point Clouds via mmWave Radar

no code implementations19 Sep 2021 Yue Sun, Honggang Zhang, Zhuoming Huang, Benyuan Liu

Built on our recent proposed 3DRIMR (3D Reconstruction and Imaging via mmWave Radar), we introduce in this paper DeepPoint, a deep learning model that generates 3D objects in point cloud format that significantly outperforms the original 3DRIMR design.

3D Reconstruction Autonomous Navigation +4

Financial Markets Prediction with Deep Learning

no code implementations5 Apr 2021 Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Degang Wang

Financial markets are difficult to predict due to its complex systems dynamics.

BIG-bench Machine Learning

Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks

no code implementations3 Apr 2020 Alexander Ding, Qilei Chen, Yu Cao, Benyuan Liu

This paper builds upon the success of previous models and develops a novel architecture, which combines object segmentation and convolutional neural networks (CNN) to construct an effective classifier of ROP stages 1-3 based on neonatal retinal images.

Segmentation Semantic Segmentation

Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy Images

no code implementations26 Mar 2020 Qilei Chen, Ping Liu, Jing Ni, Yu Cao, Benyuan Liu, Honggang Zhang

The first one is that our dataset is not fully labeled, i. e., only a subset of all lesion instances are marked.

Lesion Detection object-detection +1

3D Aggregated Faster R-CNN for General Lesion Detection

no code implementations29 Jan 2020 Ning Zhang, Yu Cao, Benyuan Liu, Yan Luo

This classifier branch is equipped with Feature Aggregation and Local Magnification Layers to enhance the classifier branch.

Computed Tomography (CT) Lesion Detection +2

Colorectal Polyp Segmentation by U-Net with Dilation Convolution

no code implementations26 Dec 2019 Xinzi Sun, Pengfei Zhang, Dechun Wang, Yu Cao, Benyuan Liu

The model we design consists of an encoder to extract multi-scale semantic features and a decoder to expand the feature maps to a polyp segmentation map.

Decoder Segmentation

Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features

no code implementations19 Nov 2019 Qilei Chen, Xinzi Sun, Ning Zhang, Yu Cao, Benyuan Liu

We analyze the lesion-vs-image scale carefully and propose a large-size feature pyramid network (LFPN) to preserve more image details for mini lesion instance detection.

Lesion Detection object-detection +2

AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy

no code implementations5 Sep 2019 Dechun Wang, Ning Zhang, Xinzi Sun, Pengfei Zhang, Chenxi Zhang, Yu Cao, Benyuan Liu

Though challenging, with the great advances in object detection techniques, automated polyp detection still demonstrates a great potential in reducing the false negative rate while maintaining a high precision.

object-detection Object Detection

A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing

no code implementations26 Aug 2019 Zhi Cao, Honggang Zhang, Yu Cao, Benyuan Liu

We are interested in the optimal scheduling of a collection of multi-component application jobs in an edge computing system that consists of geo-distributed edge computing nodes connected through a wide area network.

Edge-computing reinforcement-learning +2

Multi-Stream Single Shot Spatial-Temporal Action Detection

no code implementations22 Aug 2019 Pengfei Zhang, Yu Cao, Benyuan Liu

We present a 3D Convolutional Neural Networks (CNNs) based single shot detector for spatial-temporal action detection tasks.

Action Detection Optical Flow Estimation

Fast Marginalized Block Sparse Bayesian Learning Algorithm

no code implementations21 Nov 2012 Benyuan Liu, Zhilin Zhang, Hongqi Fan, Qiang Fu

One typical correlation structure is the intra-block correlation in block sparse signals.

The Annealing Sparse Bayesian Learning Algorithm

no code implementations5 Sep 2012 Benyuan Liu, Hongqi Fan, Zaiqi Lu, Qiang Fu

The performance such as NMSE and F-measure can be greatly improved due to the annealing technique.

Cannot find the paper you are looking for? You can Submit a new open access paper.