Xiaoguang Di

Orcid: 0000-0002-5709-6862

According to our database1, Xiaoguang Di authored at least 19 papers between 2019 and 2024.

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Bibliography

2024
DMFF: dual-way multimodal feature fusion for 3D object detection.
Signal Image Video Process., February, 2024

2023
Extraordinary MHNet: Military high-level camouflage object detection network and dataset.
Neurocomputing, September, 2023

EGNet: enhanced gradient network for image deblurring.
Signal Image Video Process., July, 2023

A Fast and Lightweight Network for Low-Light Image Enhancement.
CoRR, 2023

2022
Better Than Reference in Low-Light Image Enhancement: Conditional Re-Enhancement Network.
IEEE Trans. Image Process., 2022

FA-GAN: a feature attention GAN with fusion discriminator for non-homogeneous dehazing.
Signal Image Video Process., 2022

Autonomous vehicle self-localization in urban environments based on 3D curvature feature points - Monte Carlo localization.
Robotica, 2022

Global Context Parallel Attention for Anchor-Free Instance Segmentation in Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2022

2021
TanhExp: A smooth activation function with high convergence speed for lightweight neural networks.
IET Comput. Vis., 2021

A Simple Self-calibration Method for The Internal Time Synchronization of MEMS LiDAR.
CoRR, 2021

Self-supervised Low Light Image Enhancement and Denoising.
CoRR, 2021

2020
Integrating Neural Networks Into the Blind Deblurring Framework to Compete With the End-to-End Learning-Based Methods.
IEEE Trans. Image Process., 2020

Real-Time CU-Net-Based Welding Quality Inspection Algorithm in Battery Production.
IEEE Trans. Ind. Electron., 2020

A novel convolutional neural network method for crowd counting.
Frontiers Inf. Technol. Electron. Eng., 2020

Learning an adaptive model for extreme low-light raw image processing.
IET Image Process., 2020

Better Than Reference In Low Light Image Enhancement: Conditional Re-Enhancement Networks.
CoRR, 2020

Self-supervised Image Enhancement Network: Training with Low Light Images Only.
CoRR, 2020

Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Learning deep neural networks in blind deblurring framework.
CoRR, 2019


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