Xiongxin Tang

According to our database, Xiongxin Tang authored at least 27 papers between 2023 and 2026.

Collaborative distances:

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

2026

Think Twice Before Determining: Toward Scene-Aware Visual Reasoning for Mirror Detection.

Mingfeng Zha, Guoqing Wang, Yunqiang Pei, Tianyu Li, Xiongxin Tang, Jiayi Ma, Yang Yang, Heng Tao Shen

IEEE Trans. Circuits Syst. Video Technol., June, 2026

3D-UIR: 3D Gaussian for Underwater 3D Scene Reconstruction via Physics-Based Appearance-Medium Decoupling.

Jieyu Yuan, Yujun Li, Yuanlin Zhang, Chunle Guo, Xiongxin Tang, Ruixing Wang, Chongyi Li

IEEE Trans. Image Process., 2026

Expose Camouflage in the Water: Underwater Camouflaged Instance Segmentation and Dataset.

Chuhong Wang, Hua Li, Chongyi Li, Huazhong Liu, Xiongxin Tang, Sam Kwong

IEEE Trans. Image Process., 2026

Towards continual low-light image enhancement through causal inference.

Fan Ji, Hao Li, Jiangmeng Li, Xiongxin Tang, Fanjiang Xu

Neural Networks, 2026

RIR-Agent: An interactive framework for effective and adaptive restoration of remote sensing imagery.

Junyu Liu, Tianyu Li, Lanyue Liang, Gang Fu, Guoqing Wang, Quan Rui, Xiongxin Tang, Shuyuan Zhu, Yang Yang

Expert Syst. Appl., 2026

LIRNet: Boosting the performance for unified low-light image restoration.

Hao Li, Chao Yin, Fan Ji, Xiongxin Tang, Fanjiang Xu

Expert Syst. Appl., 2026

2025

Frequency-Driven Inverse Kernel Prediction for Single Image Defocus Deblurring.

Ying Zhang, Xiongxin Tang, Chongyi Li, Qiao Chen, Yuquan Wu

CoRR, August, 2025

Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks.

Shuang Cui, Yi Li, Jiangmeng Li, Xiongxin Tang, Bing Su, Fanjiang Xu, Hui Xiong

Int. J. Comput. Vis., July, 2025

BayesTTA: Continual-Temporal Test-Time Adaptation for Vision-Language Models via Gaussian Discriminant Analysis.

Shuang Cui, Jinglin Xu, Yi Li, Xiongxin Tang, Jiangmeng Li, Jiahuan Zhou, Fanjiang Xu, Fuchun Sun, Hui Xiong

CoRR, July, 2025

Heterogeneous Experts and Hierarchical Perception for Underwater Salient Object Detection.

Mingfeng Zha, Guoqing Wang, Yunqiang Pei, Tianyu Li, Xiongxin Tang, Chongyi Li, Yang Yang, Heng Tao Shen

IEEE Trans. Image Process., 2025

Unlocking spatial textures: Gradient-guided pansharpening for enhancing multispectral imagery.

Lanyue Liang, Tianyu Li, Guoqing Wang, Lin Mei, Xiongxin Tang, Chaofan Qiao, Dongyu Xie

Neurocomputing, 2025

SNRFour: Rethinking the SNR Guidance for Low-Light Image Enhancement from the Frequency Perspective.

Fan Ji, Hao Li, Xiongxin Tang, Fanjiang Xu

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Learning Adaptive High-Frequency Semantic Guidance for Low-light Image Enhancement.

Hao Li, Jingxuan Zhou, Jinlong Wang, Jiangmeng Li, Xiongxin Tang, Fanjiang Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

ASFST:Adaptive Spectral Filters Sparse Transformer for Hyperspectral Image Denoising.

Ruijie Chen, Xiongxin Tang, Fanjiang Xu, Chao Yin

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Frequency-Domain Guided Multiple Parallel Kernels Network for Low-Light Remote Sensing Image Enhancement.

Jingxuan Zhou, Hao Li, Jinlong Wang, Xiongxin Tang, Fanjiang Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

DMKPN: Image Deblurring Under Multi-Factor Aliasing Diffusion Degradation.

Ying Zhang, Xiongxin Tang, Hanxiang Yang, Qiao Chen, Fanjiang Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Amplitude-Guidance Low-Light Image Enhancement with Frequency-based Channel Attention.

Jinlong Wang, Xiongxin Tang, Fanjiang Xu, Hanxiang Yang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

BIAWDiff: Enhancing Low-Light Images with Bio-Inspired Attention and Wavelet Diffusion.

Zeyu Li, Sheng Yang, Hanxiang Yang, Xiongxin Tang, Fengge Wu, Fanjiang Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Towards a Flexible Semantic Guided Model for Single Image Enhancement and Restoration.

Yuhui Wu, Guoqing Wang, Shaochong Liu, Yang Yang, Wei Liu, Xiongxin Tang, Shuhang Gu, Chongyi Li, Heng Tao Shen

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Dual Domain Perception and Progressive Refinement for Mirror Detection.

Mingfeng Zha, Feiyang Fu, Yunqiang Pei, Guoqing Wang, Tianyu Li, Xiongxin Tang, Yang Yang, Heng Tao Shen

IEEE Trans. Circuits Syst. Video Technol., November, 2024

Physics-Guided Optical Simulation and PSF Analysis for Remote Sensing Images Deblurring.

Fan Ji, Jing Wang, Shuang Cui, Jiangmeng Li, Xiongxin Tang, Fanjiang Xu

IEEE Trans. Geosci. Remote. Sens., 2024

Optical Imaging Degradation Simulation and Transformer-Based Image Restoration for Remote Sensing.

Hua Wei, Kun Gao, Jing Wang, Qiuyan Tang, Xiongxin Tang, Fanjiang Xu

IEEE Geosci. Remote. Sens. Lett., 2024

HQPAFT: Enhancing Low-Light Images with High-Quality Priors and Advanced Feature Transformations Using Only Normal Light Images.

Zeyu Li, Hanxiang Yang, Sheng Yang, Xiongxin Tang, Fanjiang Xu, Qiao Chen

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Learning Frequency-Aware Representation For Low-light Image Enhancement.

Jinlong Wang, Xiongxin Tang

Proceedings of the International Joint Conference on Neural Networks, 2024

Learning Semantic-aware Retinex Network with Spatial-Frequency Interaction for Low-light Image Enhancement.

Hao Li, Jinlong Wang, Hanxiang Yang, Xiongxin Tang, Fanjiang Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

A lightweight vision transformer with symmetric modules for vision tasks.

Shengjun Liang, Mingxin Yu, Wenshuai Lu, Xinglong Ji, Xiongxin Tang, Xiaolin Liu, Rui You

Intell. Data Anal., 2023

Model Driven Deep Unfolding Network for Extreme Low-Light Image Enhancement and Denoising.

Shuang Cui, Fanjiang Xu, Xiongxin Tang, Quan Zheng

Proceedings of the International Joint Conference on Neural Networks, 2023