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2020 – today
- 2024
[j8]Haisheng Fu
, Feng Liang, Jie Liang, Yongqiang Wang, Zhenman Fang, Guohe Zhang, Jingning Han:
Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation. IEEE Trans. Image Process. 33: 4702-4715 (2024)- [c6]Haisheng Fu, Feng Liang, Jie Liang, Zhenman Fang, Guohe Zhang, Jingning Han:
Learned Image Compression with Dual-Branch Encoder and Conditional Information Coding. DCC 2024: 173-182 - [c5]Haisheng Fu, Jie Liang, Zhenman Fang, Jingning Han, Feng Liang, Guohe Zhang:
WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model. ECCV (50) 2024: 37-53 - [c4]Haisheng Fu, Feng Liang, Jie Liang, Zhenman Fang, Guohe Zhang, Jingning Han:
Efficient Learned Image Compression with Selective Kernel Residual Module and Channel-Wise Causal Context Model. ICASSP 2024: 4040-4044 - 2023
- [j7]Haisheng Fu, Feng Liang:
Learned image compression with generalized octave convolution and cross-resolution parameter estimation. Signal Process. 202: 108778 (2023) - [j6]Haisheng Fu, Feng Liang, Jie Liang, Binglin Li, Guohe Zhang, Jingning Han:
Asymmetric Learned Image Compression With Multi-Scale Residual Block, Importance Scaling, and Post-Quantization Filtering. IEEE Trans. Circuits Syst. Video Technol. 33(8): 4309-4321 (2023) - [j5]Haisheng Fu, Feng Liang, Jianping Lin, Bing Li, Mohammad Akbari, Jie Liang, Guohe Zhang, Dong Liu, Chengjie Tu, Jingning Han:
Learned Image Compression With Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules. IEEE Trans. Image Process. 32: 2063-2076 (2023) - [c3]Binglin Li, Jie Liang, Haisheng Fu, Jingning Han:
ROI-Based Deep Image Compression with Swin Transformers. ICASSP 2023: 1-5 - [i6]Binglin Li, Jie Liang, Haisheng Fu, Jingning Han:
ROI-based Deep Image Compression with Swin Transformers. CoRR abs/2305.07783 (2023) - 2022
- [c2]Haisheng Fu, Feng Liang, Jie Liang, Binglin Li, Guohe Zhang, Jiangning Han:
Learned Image Compression with Inception Residual Blocks and Multi-Scale Attention Module. PCS 2022: 43-47 - [i5]Haisheng Fu, Feng Liang, Jie Liang, Binglin Li, Guohe Zhang, Jingning Han:
Asymmetric Learned Image Compression with Multi-Scale Residual Block, Importance Map, and Post-Quantization Filtering. CoRR abs/2206.10618 (2022) - [i4]Haisheng Fu, Feng Liang:
Learned Image Compression with Generalized Octave Convolution and Cross-Resolution Parameter Estimation. CoRR abs/2209.03353 (2022) - 2021
- [j4]Haisheng Fu, Feng Liang, Bo Lei, Qian Zhang, Jie Liang, Chengjie Tu, Guohe Zhang:
An extended context-based entropy hybrid modeling for image compression. Signal Process. Image Commun. 95: 116244 (2021) - [j3]Bing Li, Jinlei Wang, Guocheng Ding, Haisheng Fu, Bingjie Lei, Haitao Yang, Jiangang Bi, Shaochong Lei:
A High-Performance and Low-Cost Montgomery Modular Multiplication Based on Redundant Binary Representation. IEEE Trans. Circuits Syst. II Express Briefs 68(7): 2660-2664 (2021) - [i3]Haisheng Fu, Feng Liang, Jianping Lin, Bing Li, Mohammad Akbari, Jie Liang, Guohe Zhang, Dong Liu, Chengjie Tu, Jingning Han:
Learned Image Compression with Discretized Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules. CoRR abs/2107.06463 (2021) - 2020
- [j2]Haisheng Fu, Feng Liang, Bo Lei:
An Extended Hybrid Image Compression Based on Soft-to-Hard Quantification. IEEE Access 8: 95832-95842 (2020) - [j1]Haisheng Fu, Feng Liang, Bo Lei, Nai Bian, Qian Zhang, Mohammad Akbari, Jie Liang, Chengjie Tu:
Improved hybrid layered image compression using deep learning and traditional codecs. Signal Process. Image Commun. 82: 115774 (2020) - [c1]Jianping Lin, Mohammad Akbari, Haisheng Fu, Qian Zhang, Shang Wang, Jie Liang, Dong Liu, Feng Liang, Guohe Zhang, Chengjie Tu:
Variable-Rate Multi-Frequency Image Compression using Modulated Generalized Octave Convolution. MMSP 2020: 1-6
2010 – 2019
- 2019
- [i2]Nai Bian, Feng Liang, Haisheng Fu, Bo Lei:
A Deep Image Compression Framework for Face Recognition. CoRR abs/1907.01714 (2019) - [i1]Haisheng Fu, Feng Liang, Bo Lei, Nai Bian, Qian Zhang, Mohammad Akbari, Jie Liang, Chengjie Tu:
Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs. CoRR abs/1907.06566 (2019)
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