Renhe Liu

Orcid: 0000-0002-5708-6074

According to our database1, Renhe Liu authored at least 15 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Text-Guided ROI-Based Neural Image Compression.
IEEE Trans. Broadcast., March, 2026

Deciphering Scientific Reasoning Steps from Outcome Data for Molecule Optimization.
CoRR, March, 2026

Efficient learned image compression with dual-space aggregation transformer.
Digit. Signal Process., 2026

2025
ROI-based Deep Image Compression with Implicit Bit Allocation.
CoRR, November, 2025

F2Fusion: Frequency Feature Fusion Network for Infrared and Visible Image via Contourlet Transform and Mamba-UNet.
IEEE Trans. Instrum. Meas., 2025

Sequential Spectral-Spatial Feature Convolution Network With Self-Attention for Remote Sensing Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2025

2024
Enhancing quality of pose-varied face restoration with local weak feature sensing and GAN prior.
Neural Comput. Appl., January, 2024

MSCFormer: Multi-Scale Circular Transformer for Image Deblurring.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2024

Asymmetric Neural Image Compression with High-Preserving Information.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

A Novel Medical Image Fusion Framework Integrating Multi-scale Encoder-Decoder with Discrete Wavelet Decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
A Visible and Infrared Image Fusion Framework Based on Dual-Path Encoder-Decoder and Multi-Scale Discrete Wavelet Transform.
Proceedings of the IEEE International Conference on Image Processing, 2023

2021
Ghost-dil-NetVLAD: A Lightweight Neural Network for Visual Place Recognition.
CoRR, 2021

2020
Channel Shuffle Reconstruction Network for Image Compressive Sensing.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
An End-to-End Multi-Scale Residual Reconstruction Network for Image Compressive Sensing.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Multiple Residual Learning Network for Single Image Super-Resolution.
Proceedings of the IEEE Visual Communications and Image Processing, 2018


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