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Dongdong Chen

Dr

  • EH14 4AS

    United Kingdom

Accepting PhD Students

PhD projects

I am looking for highly motivated PhD students (full scholarship available) to join my group in Edinburgh. If you are interested in my research directions, don't hesitate to email me along with your CV/transcripts.

Willing to speak to media

20202024

Research activity per year

  • 8 Conference contribution
  • 2 Article
  • 1 Conference article
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Conference contribution

Search results

  • 2024

    Diffusion Posterior Proximal Sampling for Image Restoration

    Wu, H., He, L., Zhang, M., Chen, D., Luo, K., Luo, M., Zhou, J.-Z., Chen, H. & Lv, J., 28 Oct 2024, MM '24: Proceedings of the 32nd ACM International Conference on Multimedia. Association for Computing Machinery, p. 214-223 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Equivariant Multi-Modality Image Fusion

    Zhao, Z., Bai, H., Zhang, J., Zhang, Y., Zhang, K., Xu, S., Chen, D., Timofte, R. & Van Gool, L., 16 Sept 2024, Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 10657719

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Neural Boneprint: Person Identification from Bones Using Generative Contrastive Deep Learning

    Niu, C., Chen, D., Zhou, J., Wang, J., Luo, X., Liu, Q.-H., Li, Y. & Lv, J., 28 Oct 2024, MM '24: Proceedings of the 32nd ACM International Conference on Multimedia. Association for Computing Machinery, p. 7609-7618 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2022

    Equivariant Imaging: Learning Beyond the Range Space

    Chen, D., Tachella, J. & Davies, M. E., 28 Feb 2022, 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, p. 4379-4388 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    50 Citations (Scopus)

  • Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements

    Chen, D., Tachella, J. & Davies, M. E., 27 Sept 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 5647-5656 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    31 Citations (Scopus)

  • Unsupervised learning from incomplete measurements for inverse problems

    Tachella, J., Chen, D. & Davies, M. E., 2022, Advances in Neural Information Processing Systems 35. p. 4983-4995 13 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    7 Citations (Scopus)
  • 2020

    Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations

    Chen, D., Davies, M. E. & Golbabaee, M., 29 Sept 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer, p. 13-22 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12262 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    10 Citations (Scopus)

  • Deep Decomposition Learning for Inverse Imaging Problems

    Chen, D. & Davies, M. E., 3 Nov 2020, Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J.-M. (eds.). Vol. XXVIII. p. 510-526 (Lecture Notes in Computer Science; vol. 12373).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    21 Citations (Scopus)