Haisheng Fu

According to our database, Haisheng Fu authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation.

Haisheng Fu, Feng Liang, Jie Liang, Yongqiang Wang, Zhenman Fang, Guohe Zhang, Jingning Han

IEEE Trans. Image Process., 2024

Efficient Learned Image Compression with Selective Kernel Residual Module and Channel-Wise Causal Context Model.

Haisheng Fu, Feng Liang, Jie Liang, Zhenman Fang, Guohe Zhang, Jingning Han

Proceedings of the IEEE International Conference on Acoustics, 2024

WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model.

Haisheng Fu, Jie Liang, Zhenman Fang, Jingning Han, Feng Liang, Guohe Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

Learned Image Compression with Dual-Branch Encoder and Conditional Information Coding.

Haisheng Fu, Feng Liang, Jie Liang, Zhenman Fang, Guohe Zhang, Jingning Han

Proceedings of the Data Compression Conference, 2024

2023

Asymmetric Learned Image Compression With Multi-Scale Residual Block, Importance Scaling, and Post-Quantization Filtering.

Haisheng Fu, Feng Liang, Jie Liang, Binglin Li, Guohe Zhang, Jingning Han

IEEE Trans. Circuits Syst. Video Technol., August, 2023

Learned Image Compression With Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules.

Haisheng Fu, Feng Liang, Jianping Lin, Bing Li, Mohammad Akbari, Jie Liang, Guohe Zhang, Dong Liu, Chengjie Tu, Jingning Han

IEEE Trans. Image Process., 2023

Learned image compression with generalized octave convolution and cross-resolution parameter estimation.

Haisheng Fu, Feng Liang

Signal Process., 2023

ROI-based Deep Image Compression with Swin Transformers.

Binglin Li, Jie Liang, Haisheng Fu, Jingning Han

CoRR, 2023

ROI-Based Deep Image Compression with Swin Transformers.

Binglin Li, Jie Liang, Haisheng Fu, Jingning Han

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Asymmetric Learned Image Compression with Multi-Scale Residual Block, Importance Map, and Post-Quantization Filtering.

Haisheng Fu, Feng Liang, Jie Liang, Binglin Li, Guohe Zhang, Jingning Han

CoRR, 2022

Learned Image Compression with Inception Residual Blocks and Multi-Scale Attention Module.

Haisheng Fu, Feng Liang, Jie Liang, Binglin Li, Guohe Zhang, Jiangning Han

Proceedings of the Picture Coding Symposium, 2022

2021

A High-Performance and Low-Cost Montgomery Modular Multiplication Based on Redundant Binary Representation.

Bing Li, Jinlei Wang, Guocheng Ding, Haisheng Fu, Bingjie Lei, Haitao Yang, Jiangang Bi, Shaochong Lei

IEEE Trans. Circuits Syst. II Express Briefs, 2021

An extended context-based entropy hybrid modeling for image compression.

Haisheng Fu, Feng Liang, Bo Lei, Qian Zhang, Jie Liang, Chengjie Tu, Guohe Zhang

Signal Process. Image Commun., 2021

Learned Image Compression with Discretized Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules.

Haisheng Fu, Feng Liang, Jianping Lin, Bing Li, Mohammad Akbari, Jie Liang, Guohe Zhang, Dong Liu, Chengjie Tu, Jingning Han

CoRR, 2021

2020

Improved hybrid layered image compression using deep learning and traditional codecs.

Haisheng Fu, Feng Liang, Bo Lei, Nai Bian, Qian Zhang, Mohammad Akbari, Jie Liang, Chengjie Tu

Signal Process. Image Commun., 2020

An Extended Hybrid Image Compression Based on Soft-to-Hard Quantification.

Haisheng Fu, Feng Liang, Bo Lei

IEEE Access, 2020

Variable-Rate Multi-Frequency Image Compression using Modulated Generalized Octave Convolution.

Jianping Lin, Mohammad Akbari, Haisheng Fu, Qian Zhang, Shang Wang, Jie Liang, Dong Liu, Feng Liang, Guohe Zhang, Chengjie Tu

Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

2019

A Deep Image Compression Framework for Face Recognition.

Nai Bian, Feng Liang, Haisheng Fu, Bo Lei

CoRR, 2019