Chang Chen
Orcid: 0000-0001-8281-9244Affiliations:
- Noah's Ark Lab, Huawei Technologies, Shenzhen, China
According to our database1,
Chang Chen
authored at least 41 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
IEEE Trans. Pattern Anal. Mach. Intell., October, 2025
Int. J. Comput. Vis., January, 2025
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
2024
Toward DNN of LUTs: Learning Efficient Image Restoration With Multiple Look-Up Tables.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Hysat++: Hybrid Spectral-Wise Attention Transformer for Skin Spectral Reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2024
Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation.
IEEE Trans. Medical Imaging, December, 2023
Computational Spectral Imaging with Unified Encoding Model: A Comparative Study and Beyond.
CoRR, 2023
Learning Exhaustive Correlation for Spectral Super-Resolution: Where Unified Spatial-Spectral Attention Meets Mutual Linear Dependence.
CoRR, 2023
Learning Spectral-wise Correlation for Spectral Super-Resolution: Where Similarity Meets Particularity.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Marine Extended Target Tracking for Scanning Radar Data Using Correlation Filter and Bayes Filter Jointly.
Remote. Sens., December, 2022
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
2017
UDNet: Up-Down Network for Compact and Efficient Feature Representation in Image Super-Resolution.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017