Yuki M. Asano

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

VeRA: Vector-based Random Matrix Adaptation

Dawid Kopiczko, Tijmen Blankevoort, and Yuki M. Asano

ICLR, 2024

Bib PDF Code Website

@article{kopiczko2024vera,
  title = {VeRA: Vector-based Random Matrix Adaptation},
  show_bib = {true},
  author = {Kopiczko, Dawid and Blankevoort, Tijmen and Asano, Yuki M.},
  year = {2024},
  journal = {ICLR}
}

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

Bib PDF Code Oral + outstanding paper

@article{venkataramanan2024imagenet,
  show_bib = {true},
  author = {Venkataramanan, Shashanka and Rizve, Mamshad Nayeem and Carreira, João and Asano⁺, Yuki M. and Avrithis⁺, Yannis},
  year = {2024},
  journal = {ICLR}
}

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

Bib PDF Code

@article{salehi2023time,
  title = {Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations},
  show_bib = {true},
  author = {Salehi, Mohammadreza and Gavves, Efstratios and Snoek, Cees G. M. and Asano, Yuki M.},
  year = {2023},
  journal = {ICCV}
}

Self-Ordering Point Clouds

Pengwan Yang, Cees G. M. Snoek*, and Yuki M. Asano*

ICCV, 2023

Bib PDF Oral

@article{yang2023self,
  title = {Self-Ordering Point Clouds},
  show_bib = {true},
  author = {Yang, Pengwan and Snoek*, Cees G. M. and Asano*, Yuki M.},
  year = {2023},
  journal = {ICCV}
}

BISCUIT: Causal Representation Learning from Binary Interactions

Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, and Efstratios Gavves

UAI, 2023

Bib PDF Code Website Spotlight

@article{lippe2023biscuit,
  title = {{BISCUIT}: Causal Representation Learning from Binary Interactions},
  show_bib = {true},
  author = {Lippe, Phillip and Magliacane, Sara and L{\"o}we, Sindy and Asano, Yuki M. and Cohen, Taco and Gavves, Efstratios},
  year = {2023},
  journal = {UAI}
}

Self-labelling via simultaneous clustering and representation learning

Yuki M. Asano, Christian Rupprecht, and Andrea Vedaldi

ICLR, 2020

Bib PDF Blog Code Website Spotlight

@article{asano2020self,
  title = {Self-labelling via simultaneous clustering and representation learning},
  author = {Asano, Yuki M. and Rupprecht, Christian and Vedaldi, Andrea},
  journal = {ICLR},
  year = {2020}
}

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

Bib PDF Code

@article{asano2021emergent,
  author = {Asano, Yuki M. and Kolb, Jakob J. and Heitzig, Jobst and Farmer, J. Doyne},
  title = {Emergent inequality and business cycles in a simple behavioral macroeconomic model},
  year = {2021},
  publisher = {National Academy of Sciences},
  journal = {Proceedings of the National Academy of Sciences (PNAS)}
}

Self-supervised learning of object parts for semantic segmentation

Adrian Ziegler, and Yuki M Asano

CVPR, 2022

Bib PDF Code

@article{ziegler2022self,
  title = {Self-supervised learning of object parts for semantic segmentation},
  author = {Ziegler, Adrian and Asano, Yuki M},
  journal = {CVPR},
  year = {2022}
}

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

Bib PDF Code Oral

@article{patrick2021keeping,
  title = {Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers},
  author = {Patrick*, Mandela and Campbell*, Dylan and Asano*, Yuki M. and Misra, Ishan and Metze, Florian and Feichtenhofer, Christoph and Vedaldi, Andrea and Henriques, João F.},
  journal = {NeurIPS},
  year = {2021}
}

CITRIS: Causal Identifiability from Temporal Intervened Sequences

Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, and Efstratios Gavves

ICML, 2022

PDF Code

The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image

Yuki M. Asano*, and Aaqib Saeed*

ICLR, 2023

Bib PDF Code Website

@article{asano2023extrapolating,
  title = {The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image},
  author = {Asano*, Yuki M. and Saeed*, Aaqib},
  journal = {ICLR},
  year = {2023}
}