Wei Dong
Orcid: 0000-0003-0263-3584Affiliations:
- University of Alberta, Canada
- Beihang University, China
According to our database1,
Wei Dong
authored at least 25 papers
between 2021 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024
IEEE Trans. Circuits Syst. Video Technol., May, 2024
Pattern Recognit., March, 2024
Pattern Recognit., 2024
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
CoRR, 2024
NTIRE 2024 Challenge on Bracketing Image Restoration and Enhancement: Datasets, Methods and Results.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
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
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
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