Naishan Zheng

Orcid: 0000-0002-7451-8780

According to our database1, Naishan Zheng authored at least 22 papers between 2022 and 2023.

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

Timeline

Legend:

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Links

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Bibliography

2023
Unsupervised Underexposed Image Enhancement via Self-Illuminated and Perceptual Guidance.
IEEE Trans. Multim., 2023

Singular Regularization with Information Bottleneck Improves Model's Adversarial Robustness.
CoRR, 2023

Empowering Low-Light Image Enhancer through Customized Learnable Priors.
CoRR, 2023

Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-Spectral Image Fusion.
CoRR, 2023

Random Weights Networks Work as Loss Prior Constraint for Image Restoration.
CoRR, 2023

Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration.
CoRR, 2023

FouriDown: Factoring Down-Sampling into Shuffling and Superposing.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Training Your Image Restoration Network Better with Random Weight Network as Optimization Function.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive Field.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Non-Uniform-Sampling for Ultra-High-Definition Image Enhancement.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Exploring Temporal Frequency Spectrum in Deep Video Deblurring.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-Spectral Image Fusion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Empowering Low-Light Image Enhancer through Customized Learnable Priors.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NTIRE 2023 Image Shadow Removal Challenge Report.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Sample Relationship for Exposure Correction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Frequency-consistent Optimization for Image Enhancement Networks.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

Learning Semantic Degradation-Aware Guidance for Recognition-Driven Unsupervised Low-Light Image Enhancement.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Adaptively Learning Low-high Frequency Information Integration for Pan-sharpening.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Enhancement by Your Aesthetic: An Intelligible Unsupervised Personalized Enhancer for Low-Light Images.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Frequency and Spatial Dual Guidance for Image Dehazing.
Proceedings of the Computer Vision - ECCV 2022, 2022

CNSNet: A Cleanness-Navigated-Shadow Network for Shadow Removal.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022



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