Kostas Alexandridis
  • 17
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  • 2025

    Fractal Calibration for long-tailed object detection

    Alexandridis, K., Elezi, I., Deng, J., Nguyen, A. & Luo, S., 2025, (Accepted/In press) IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

    Open Access
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    103 Downloads (Pure)
  • 2024

    Adaptive Parametric Activation

    Alexandridis, K., Deng, J., Nguyen, A. & Luo, S., 2024, The European Conference on Computer Vision (ECCV) 2024.

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

    Open Access
    File
    72 Downloads (Pure)
  • 2022

    Long-tailed Instance Segmentation using Gumbel Optimized Loss

    Alexandridis, K., Deng, J., Nguyen, A. & Luo, S., 2022, (Accepted/In press) European Conference on Computer Vision (ECCV) 2022.

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

    File
    53 Downloads (Pure)
  • Long-Tailed Instance Segmentation Using Gumbel Optimized Loss

    Alexandridis, K., Deng, J., Nguyen, A. & Luo, S., 2022, Computer Vision – ECCV 2022 - 17th European Conference, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 353-369 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13670 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

    17 Citations (Scopus)
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