Yuki M. Asano

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


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.


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
Apr 17, 2024 One tutorial at ECCV’24 accepted.
Mar 15, 2024 Organised the ELLIS PhD Winter School on Foundation Models. More than 600 applications, we hosted 150 students from 90 institutions and 40 nationalities.
Feb 26, 2024 Two new papers accepted at CVPR’24! Unsupervised Counting and PIN
Jan 16, 2024 Three new papers accepted at ICLR 2024 and one at AAAI! Two of them are selected as orals. Check the papers page
Dec 14, 2023 Just gave a keynote at the Self-supervised Learning workshop at NeurIPS. Find my slides (74MB) here
Oct 12, 2023 New preprints available: self-supervised learning from one video and adapting small visual language models for multi-modal ICL.
Oct 11, 2023 Will be serving as AC for ICLR’23 and CVPR’24!
Jul 20, 2023 Welcome to my new PhD student Laurens Samson! He will be working on Privacy and Fairness in Vision and Foundation Models.
Jul 19, 2023 We have two new papers accepted at ICCV’23! Check them out: Self-ordering Point Clouds [oral!] and TimeTuning
Jun 26, 2023 Our paper BISCUIT: Causal Representation Learning from Binary Interactions has been accepted as a spotlight at UAI!
Apr 25, 2023 My MSc student Lukas Knobler is visiting Tengda Han at the Visual Geometry Group of the University of Oxford as an ELLIS honors student
Apr 24, 2023 Serving as Area Chair (AC) for NeurIPS 2023.
Apr 16, 2023 Our workshop on “Big Model Adaptation in Computer Vision” jointly organised with T. Han, M. Caron, P. Isola and S. Belongie got accepted at ICCV’23. See you in Paris!
Feb 27, 2023 One paper accepted at CVPR.
Jan 20, 2023 Two papers accepted at ICLR’23!
Oct 1, 2022 Serving as Area Chair (AC) for CVPR.

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