Yuki M. Asano

Ulmenstr 52i

90461 Nürnberg

University of Technology Nuremberg

I’m the head of the Fundamental AI (FunAI) Lab and full Professor at the University of Technology Nuremberg. Prior to this, I lead the QUVA lab at the University of Amsterdam, where I closely collaborated with Qualcomm AI Research. My PhD was at the Visual Geometry Group (VGG) at the University of Oxford, where I worked with Andrea Vedaldi and Christian Rupprecht. Also, I love running, the mountains ⛰️ and their combination.

news

Jun 22, 2026	Three papers presented at CVPR. Two keynotes at very cool workshops at CVPR. Three papers accepted to ECCV, plus one at TMLR. Also now Action Editor at TMLR.
Jan 1, 2026	Two papers accepted at TMLR; one at TACL; we’re organising one workshop at CVPR; gave keynote at NLDL.
Dec 25, 2025	Two papers presented at NeurIPS’25!

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 and 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}
}