Yuki M. Asano

Assistant Professor, University of Amsterdam – formerly at VGG, FAIR

yuki.jpg

Lab 42, 4.23

Science Park 900

University of Amsterdam

I’m an assistant professor for computer vision and machine learning at the QUVA lab at the University of Amsterdam, where I work with Cees Snoek, Max Welling and Efstratios Gavves. My PhD was at the Visual Geometry Group (VGG) at the University of Oxford where I worked with Andrea Vedaldi and Christian Rupprecht. Prior to this I studied physics at the University of Munich (LMU) and Economics in Hagen as well as a MSc in Mathematical Modelling and Scientific Computing at the Mathematical Institute in Oxford. Also, I love running, the mountains ⛰️ and their combination.

news

May 13, 2024 Honored to serve as Senior AC for ECCV 2024 and as AC for NeurIPS 2024.
May 11, 2024 Our paper “Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video” got awarded an outstanding paper prize at ICLR 2024!
Apr 19, 2024 Gave two talks in Japan (National Institute of Advanced Industrial Science and Technology and National Institute for Informatics/Univ. Tokyo) and our ICLR’24 VeRA method is now on HuggingFace PEFT library

selected publications

  1. vera.png
    VeRA: Vector-based Random Matrix Adaptation
    Dawid Kopiczko, Tijmen Blankevoort, and Yuki M. Asano
    ICLR, 2024
  2. dora.png
    Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
    Shashanka Venkataramanan, Mamshad Nayeem Rizve, João Carreira, Yuki M. Asano*, and Yannis Avrithis*
    ICLR, 2024
  3. timetuning.png
    Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations
    Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, and Yuki M. Asano
    ICCV, 2023
  4. self_points.png
    Self-Ordering Point Clouds
    Pengwan Yang, Cees G. M. Snoek*, and Yuki M. Asano*
    ICCV, 2023
  5. biscuit.png
    BISCUIT: Causal Representation Learning from Binary Interactions
    Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, and Efstratios Gavves
    UAI, 2023
  6. self-clusters.jpg
    Self-labelling via simultaneous clustering and representation learning
    Yuki M. Asano, Christian Rupprecht, and Andrea Vedaldi
    ICLR, 2020
  7. ramsey.png
    Emergent inequality and business cycles in a simple behavioral macroeconomic model
    Yuki M. Asano, Jakob J. Kolb, Jobst Heitzig, and J. Doyne Farmer
    Proceedings of the National Academy of Sciences (PNAS), 2021
  8. leopart.png
    Self-supervised learning of object parts for semantic segmentation
    Adrian Ziegler, and Yuki M Asano
    CVPR, 2022
  9. motionformer.png
    Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
    Mandela Patrick*, Dylan Campbell*, Yuki M. Asano*, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, and João F. Henriques
    NeurIPS, 2021
  10. citris.png
    CITRIS: Causal Identifiability from Temporal Intervened Sequences
    Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, and Efstratios Gavves
    ICML, 2022
  11. kd.png
    The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image
    Yuki M. Asano*, and Aaqib Saeed*
    ICLR, 2023