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

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 and TimeTuning (link soon.)
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

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

@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}
}