Wei Dong

Orcid: 0000-0003-0263-3584

Affiliations:
  • University of Alberta, Canada
  • Beihang University, China


According to our database1, Wei Dong authored at least 25 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

Toward High-Quality HDR Deghosting With Conditional Diffusion Models.
IEEE Trans. Circuits Syst. Video Technol., May, 2024

KGSR: A kernel guided network for real-world blind super-resolution.
Pattern Recognit., March, 2024

Uncertainty estimation in HDR imaging with Bayesian neural networks.
Pattern Recognit., 2024

Dynamic center point learning for multiple object tracking under Severe occlusions.
Knowl. Based Syst., 2024

SAMT-generator: A second-attention for image captioning based on multi-stage transformer network.
Neurocomputing, 2024

GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval.
CoRR, 2024

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

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results.
CoRR, 2024


CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DiffLight: Integrating Content and Detail for Low-light Image Enhancement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition.
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
Denoising Aggregation of Graph Neural Networks by Using Principal Component Analysis.
IEEE Trans. Ind. Informatics, March, 2023

Towards High-quality HDR Deghosting with Conditional Diffusion Models.
CoRR, 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
Improving performance and efficiency of Graph Neural Networks by injective aggregation.
Knowl. Based Syst., 2022

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

Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
MobileGCN applied to low-dimensional node feature learning.
Pattern Recognit., 2021


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