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All Publications

Publications

A collection of my research work published in leading journals and conferences. Topics include Computer Vision, Image Restoration, and Super-Resolution.

11
Total
7
Journals
4
Conf
D2S-RSG-SSD: Dual Double-Sampling with Random Sub-Samples Generation for Self-Supervised Real Image Denoising

D2S-RSG-SSD: Dual Double-Sampling with Random Sub-Samples Generation for Self-Supervised Real Image Denoising

Xiao Liu, Xiuya Shi, Yizhong Pan, Shuhang Gu, Wei Liu, Chao Ren

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (2026)

📄Journal★IF 18.6

This paper proposes a novel synthetic degradation pipeline for real-world blind image super-resolution, using mixed and probabilistic schemes to better model complex real-world degradations.

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Real-world blind image super-resolution with mixed and probabilistic scheme based synthetic degradation pipeline

Real-world blind image super-resolution with mixed and probabilistic scheme based synthetic degradation pipeline

Xiao Liu, Xiaofeng Wang, Zhengyong Wang, Xiaohai He, Chao Ren

Knowledge-Based Systems (KBS) (2025)

📄Journal★IF 7.6

This paper proposes a novel synthetic degradation pipeline for real-world blind image super-resolution, using mixed and probabilistic schemes to better model complex real-world degradations.

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Transformer-Style Convolutional Network for Efficient Natural and Industrial Image Superresolution

Transformer-Style Convolutional Network for Efficient Natural and Industrial Image Superresolution

Xiao Liu, Zhengyong Wang, Hong Yang, Xiaohai He, Haosong Gou, Chao Ren

IEEE Transactions on Industrial Informatics (TII) (2025)

📄Journal★IF 9.9

A transformer-style convolutional network that efficiently handles natural and industrial image super-resolution tasks with improved performance and reduced computational cost.

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GBPG-Net: Global Background Prior-Guided Rain and Snow Image Restoration

GBPG-Net: Global Background Prior-Guided Rain and Snow Image Restoration

Xiao Liu, Xiaofeng Wang, Shouyi Wang, Haosong Gou, Zhengyong Wang, Chao Ren

IEEE Transactions on Neural Networks and Learning Systems (TNNLS) (2025)

📄Journal★IF 8.9

Global Background Prior-Guided Network for effective rain and snow image restoration, leveraging global background priors to improve restoration quality.

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DSRIR: Dynamic spatial refinement learning for progressive all-in-one image restoration

DSRIR: Dynamic spatial refinement learning for progressive all-in-one image restoration

Xiaofeng Wang, Xiao Liu, Yutong Yang, Zhengyong Wang, Xiaohai He, Honggang Chen, Yi Li, Pingyu Wang

Information Processing & Management (IPM) (2025)

📄Journal★IF 6.9

Dynamic spatial refinement learning for progressive all-in-one image restoration, achieving state-of-the-art results on multiple restoration benchmarks.

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Degradation modeling for restoration-enhanced object detection in adverse weather scenes

Degradation modeling for restoration-enhanced object detection in adverse weather scenes

Xiaofeng Wang, Xiao Liu, Hong Yang, Zhengyong Wang, Xiaoyue Wen, Xiaohai He

IEEE Transactions on Intelligent Vehicles (TIV) (2025)

📄Journal★IF 14.3

Degradation modeling approach for restoration-enhanced object detection in adverse weather scenes, significantly improving detection performance under challenging conditions.

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Efficient Parallel Multi-Scale Detail and Semantic Encoding Network for Lightweight Semantic Segmentation

Efficient Parallel Multi-Scale Detail and Semantic Encoding Network for Lightweight Semantic Segmentation

Xiao Liu, Xiuya Shi, Lufei Chen, Linbo Qing, Chao Ren

ACM International Conference on Multimedia (ACM MM) (2023)

📋Conf★CCF A

An efficient parallel multi-scale network for lightweight semantic segmentation, balancing accuracy and computational efficiency.

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Efficient Information Modulation Network for Image Super-Resolution

Efficient Information Modulation Network for Image Super-Resolution

Xiao Liu, Xiangyu Liao, Xiuya Shi, Linbo Qing, Chao Ren

European Conference on Artificial Intelligence (ECAI) (2023)

📋Conf★CCF B

Efficient Information Modulation Network for image super-resolution, achieving competitive results with reduced parameters.

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Random Sub-Samples Generation for Self-Supervised Real Image Denoising

Random Sub-Samples Generation for Self-Supervised Real Image Denoising

Yizhong Pan, Xiao Liu, Xiangyu Liao, Yuanzhouhan Cao, Chao Ren

International Conference on Computer Vision (ICCV) (2023)

📋Conf★CCF A

Random sub-samples generation approach for self-supervised real image denoising, achieving state-of-the-art denoising performance.

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CasaPuNet: Channel Affine Self-Attention- Based Progressively Updated Network for Real Image Denoising

CasaPuNet: Channel Affine Self-Attention- Based Progressively Updated Network for Real Image Denoising

Jie Huang, Xiao Liu, Yizhong Pan, Xiaohai He, Chao Ren

IEEE Transactions on Industrial Informatics (TII) (2023)

📄Journal★IF 9.9

Channel Affine Self-Attention-based progressively updated network for real image denoising with superior performance.

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Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches

Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches

Xin Lin, Chao Ren*, Xiao Liu, Jie Huang, Yinjie Lei

International Conference on Computer Vision (ICCV) (2023)

📋Conf★CCF A

Self-collaboration parallel generative adversarial branches for unsupervised real-world image denoising.

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