Han Zhou

Orcid: 0000-0001-7650-0755

Affiliations:
  • McMaster University, Department of Electrical and Computer Engineering, Hamilton, Canada
  • Beihang University, Beijing, China (former)


According to our database1, Han Zhou authored at least 16 papers between 2022 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
NTIRE 2025 Image Shadow Removal Challenge Report.
CoRR, June, 2025

Constrained Gaussian Wasserstein Optimal Transport with Commutative Covariance Matrices.
CoRR, March, 2025



NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Low-Light Image Enhancement via Generative Perceptual Priors.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Low-Light Image Enhancement via Generative Perceptual Priors.
CoRR, 2024

ShadowRefiner: Towards Mask-free Shadow Removal via Fast Fourier Transformer.
CoRR, 2024

ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

GLARE: Low Light Image Enhancement via Generative Latent Feature Based Codebook Retrieval.
Proceedings of the Computer Vision - ECCV 2024, 2024

ShadowRefiner: Towards Mask-free Shadow Removal via Fast Fourier Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024


DehazeDCT: Towards Effective Non-Homogeneous Dehazing via Deformable Convolutional Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Breaking Through the Haze: An Advanced Non-Homogeneous Dehazing Method based on Fast Fourier Convolution and ConvNeXt.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


2022
Sclera Recognition Based on Efficient Sclera Segmentation and Significant Vessel Matching.
Comput. J., 2022


  Loading...