Search Results for author: Dong Ye

Found 7 papers, 1 papers with code

Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise

no code implementations4 Aug 2023 Hang-Cheng Dong, Yuhao Jiang, Yingyan Huang, Jingxiao Liao, Bingguo Liu, Dong Ye, Guodong Liu

A major limitation to the performance of the class activation maps is the small spatial resolution of the feature maps in the last layer of the convolutional neural network.

Denoising Weakly-supervised Learning +2

Training Neural Networks for Solving 1-D Optimal Piecewise Linear Approximation

no code implementations14 Oct 2021 Hangcheng Dong, Jingxiao Liao, Yan Wang, Yixin Chen, Bingguo Liu, Dong Ye, Guodong Liu

Our main contributions are that we propose the theorems to characterize the optimal solution of the PWLA problem and present the LNN method for solving it.

How to Explain Neural Networks: an Approximation Perspective

no code implementations17 May 2021 Hangcheng Dong, Bingguo Liu, Fengdong Chen, Dong Ye, Guodong Liu

The lack of interpretability has hindered the large-scale adoption of AI technologies.

Model Compression

High-quality Low-dose CT Reconstruction Using Convolutional Neural Networks with Spatial and Channel Squeeze and Excitation

no code implementations1 Apr 2021 Jingfeng Lu, Shuo Wang, Ping Li, Dong Ye

Low-dose computed tomography (CT) allows the reduction of radiation risk in clinical applications at the expense of image quality, which deteriorates the diagnosis accuracy of radiologists.

Computed Tomography (CT) Image Reconstruction

LCCNet: LiDAR and Camera Self-Calibration using Cost Volume Network

1 code implementation27 Dec 2020 Xudong Lv, Boya Wang, Dong Ye, Shuo Wang

In this paper, we propose a novel online self-calibration approach for Light Detection and Ranging (LiDAR) and camera sensors.

Translation

Semantic Flow-guided Motion Removal Method for Robust Mapping

no code implementations14 Oct 2020 Xudong Lv, Boya Wang, Dong Ye, Shuo Wang

In this paper, we proposed a novel motion removal method, leveraging semantic information and optical flow to extract motion regions.

Instance Segmentation Optical Flow Estimation +1

Complex Convolutional Neural Networks for Ultrafast Ultrasound Image Reconstruction from In-Phase/Quadrature Signal

no code implementations24 Sep 2020 Jingfeng Lu, Fabien Millioz, Damien Garcia, Sebastien Salles, Dong Ye, Denis Friboulet

In the present study, we derive the complex equivalent of this network; i. e., the Complex-valued Inception for Diverging-wave Network (CID-Net) that operates on I/Q data.

Image Reconstruction

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