Arman Afrasiyabi
Ph.D., Researcher |

Interested in meta-learning representations, I am an incoming postdoc at KrishnaswamyLab of Yale University. I received my Ph.D. newly from Mila & Université Laval, advised by Jean-François Lalonde and Christian Gagné. Three contributions of my Ph.D. have been published at ECCV-2020, ICCV-2021, and CVPR-2022. Before, I was with ImageLab and got my M.S. from METU. I was born and raised in Band, a beautiful village on Pale Blue Dot.

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News
  • 07/06/2022   I defended my Ph.D. thesis!
  • 02/03/2022   SetFeat was accepted to CVPR.
  • 12/02/2022   Presented our MixtFSL at CV Talks.
  • 22/07/2021   MixtFSL was accepted to ICCV. [More News →]

    • Publications

    1. CVPR
      Matching feature sets for few-shot image classification
      Arman Afrasiyabi, Hugo Larochelle, Jean-François Lalonde, Christian Gagné
      International Conference on Computer Vision and Pattern Recognition, 2022
      project webpage
      1. ICCV
        Mixture-based feature space learning for few-shot image classification
        Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné
        International Conference on Computer Vision, 2021
        project webpage
        1. ECCV Spotlight
          Associative alignment for few-shot image classification
          Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné
          European Conference on Computer Vision, 2020
          project webpage
          1. ICASSP
            Non-euclidean vector product for neural networks
            Arman Afrasiyabi, Diaa Badawi, Baris Nasir, Ozan Yildiz, Fatoş T. Yarman Vural, A Enis Çetin
            International Conference on Acoustics, Speech and Signal Processing, 2018
            paper
            1. ICCI*CC
              A sparse temporal mesh model for brain decoding
              Arman Afrasiyabi, Itır Önal Ertuğrul, Fatoş T. Yarman Vural
              15th International Conference on Cognitive Informatics & Cognitive, 2016
              paper
    [] see my Google Scholar for all the publications.

    Reviewer

    • NeurIPS-2022, CVPR-2022, ECCV-2022, ICLR-2022, ICCV-2021, 3DV-2021, and MAIS-2021.

    Reports and proposal


    Talks and presentations

  • In Feb. 2022, I gave a talk on my PHD projects to Prof. Smita Krishnaswamy's research group at Yale.
  • At CVPR 2022, we are presenting Matching feature sets for few-shot image classification.
  • In 12th Feb. 2022, upon the inviation (invitation link) of Computer Vision Talks, I present our MixtFSL.
  • At ICCV 2021, I am presenting Mixture-based feature space learning for few-shot... [video]
  • In 26, Feb, 2021, I present Transfomers to Prof. Jean-François Lalonde's research group. [my slides]
  • In Feb 2021, I gave a presentation on PMM and Ass. Alignment at IID, Université Laval. [my slides]
  • At ECCV 2020, I presented our work “Associative Alignment for Few-shot Classification”. [video]
  • In July 2020, I gave a talk on ”Advances in few-shot learning” at IFT 6501 course. [my slides]
  • In March 2020, I gave a talk on my last reasearch project at IID, Université Laval. [my slides]
  • In January 2018, I gave a presentation on RNN [slides] , and Neural Turing Machines: NTM: [slides].