Publications

All Publications

1. 

   2025

   Elastic ViTs from Pretrained Models without Retraining

   Walter Simoncini, Michael Dorkenwald, Tijmen Blankevoort, Cees G.M. Snoek, and Yuki M. Asano

   PDF Bib Code Website NeurIPS

   @article{simoncini2025elastic,
     title = {Elastic ViTs from Pretrained Models without Retraining},
     show_bib = {true},
     author = {Simoncini, Walter and Dorkenwald, Michael and Blankevoort, Tijmen and Snoek, Cees G.M. and Asano, Yuki M.},
     journal = {NeurIPS},
     year = {2025}
   }

   ---

2. 

   2025

   Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation

   Divyanshu Mishra, Mohammadreza Salehi, Pramit Saha, Olga Patey, Aris T. Papageorghiou, Yuki M. Asano, and J. Alison Noble

   PDF Bib Code NeurIPS

   @article{mishra2025selfsupervised,
     show_bib = {true},
     title = {Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation},
     author = {Mishra, Divyanshu and Salehi, Mohammadreza and Saha, Pramit and Patey, Olga and Papageorghiou, Aris T. and Asano, Yuki M. and Noble, J. Alison},
     year = {2025},
     journal = {NeurIPS},
   }

   ---

3. 

   2025

   Bitune: Bidirectional Instruction-Tuning

   Dawid Kopiczko, Tijmen Blankevoort, and Yuki M. Asano

   PDF Bib Code Website EMNLP

   @article{kopiczko2025bitune,
     title = {Bitune: Bidirectional Instruction-Tuning},
     show_bib = {true},
     author = {Kopiczko, Dawid and Blankevoort, Tijmen and Asano, Yuki M.},
     year = {2025},
     journal = {EMNLP}
   }

   ---

4. 

   2025

   TVBench: Redesigning Video-Language Evaluation

   Daniel Cores, Michael Dorkenwald, Manuel Mucientes, Cees G. M. Snoek, and Yuki M. Asano

   PDF Bib Code Website BMVC

   @article{cores2025tvbench,
     author = {Cores, Daniel and Dorkenwald, Michael and Mucientes, Manuel and Snoek, Cees G. M. and Asano, Yuki M.},
     title = {{TVBench}: Redesigning Video-Language Evaluation},
     journal = {BMVC},
     show_bib = {true},
     year = {2025}
   }

   ---

5. 

   2025

   Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning

   Shashanka Venkataramanan, Valentinos Pariza, Mohammadreza Salehi, Lukas Knobel, Spyros Gidaris, Elias Ramzi, Andrei Bursuc, and Yuki M. Asano

   PDF Bib Code arXiv

   @article{venkataramanan2025franca,
     show_bib = {true},
     title = {Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning},
     author = {Venkataramanan, Shashanka and Pariza, Valentinos and Salehi, Mohammadreza and Knobel, Lukas and Gidaris, Spyros and Ramzi, Elias and Bursuc, Andrei and Asano, Yuki M.},
     year = {2025},
     journal = {arXiv}
   }

   ---

6. 

   2025

   MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning

   Mohammadreza Salehi, Shashanka Venkataramanan, Ioana Simion, Efstratios Gavves, Cees G. M. Snoek, and Yuki M Asano

   PDF Bib Code ICCV

   @article{salehi2025mosic,
     show_bib = {true},
     title = {MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning},
     author = {Salehi, Mohammadreza and Venkataramanan, Shashanka and Simion, Ioana and Gavves, Efstratios and Snoek, Cees G. M. and Asano, Yuki M},
     year = {2025},
     journal = {ICCV}
   }

   ---

7. 

   2025

   Self-Guided Open-Vocabulary Semantic Segmentation

   Osman Ülger, Maksymilian Kulicki, Yuki M. Asano, and Martin R. Oswald

   PDF Bib ICCV

   @article{ulger2023selfguided,
     show_bib = {true},
     title = {Self-Guided Open-Vocabulary Semantic Segmentation},
     author = {Ülger, Osman and Kulicki, Maksymilian and Asano, Yuki M. and Oswald, Martin R.},
     year = {2025},
     journal = {ICCV}
   }

   ---

8. 

   2025

   TWIST & SCOUT: Grounding Multimodal LLM-Experts by Forget-Free Tuning

   Aritra Bhowmik, Mohammad Mahdi Derakhshani, Dennis Koelma, Martin R Oswald, Yuki M Asano, and Cees GM Snoek

   PDF Bib ICCV

   @article{bhowmik2024learning,
     show_bib = {true},
     title = {TWIST & SCOUT: Grounding Multimodal LLM-Experts by Forget-Free Tuning},
     author = {Bhowmik, Aritra and Derakhshani, Mohammad Mahdi and Koelma, Dennis and Oswald, Martin R and Asano, Yuki M and Snoek, Cees GM},
     journal = {ICCV},
     year = {2025}
   }

   ---

9. 

   2025

   Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos

   Pramit Saha, Divyanshu Mishra, Netzahualcoyotl Hernandez-Cruz, Olga Patey, Aris Papageorghiou, Yuki M. Asano, and J. Alison Noble

   PDF Bib MICCAI

   @article{saha2025selfsupervisednormalitylearningdivergence,
     show_bib = {true},
     title = {Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos},
     author = {Saha, Pramit and Mishra, Divyanshu and Hernandez-Cruz, Netzahualcoyotl and Patey, Olga and Papageorghiou, Aris and Asano, Yuki M. and Noble, J. Alison},
     year = {2025},
     journal = {MICCAI}
   }

   ---

10. 

    2025

    SAMSelect: A Spectral Index Search for Marine Debris Visualization Using Segment Anything

    Joost Dalen, Yuki M. Asano, and Marc Rußwurm

    PDF Bib IEEE Geoscience and Remote Sensing Letters

    @article{vandalen2025samselect,
      show_bib = {true},
      author = {van Dalen, Joost and Asano, Yuki M. and Rußwurm, Marc},
      journal = {IEEE Geoscience and Remote Sensing Letters},
      title = {SAMSelect: A Spectral Index Search for Marine Debris Visualization Using Segment Anything},
      year = {2025}
    }

    ---

11. 

    2025

    Unsupervised Parameter Efficient Source-free Post-pretraining

    Abhishek Jha, Tinne Tuytelaars, and Yuki M. Asano

    PDF Bib arXiv

    @article{jha2025unsupervised,
      show_bib = {true},
      title = {Unsupervised Parameter Efficient Source-free Post-pretraining},
      author = {Jha, Abhishek and Tuytelaars, Tinne and Asano, Yuki M.},
      year = {2025},
      journal = {arXiv},
    }

    ---

12. 

    2025

    Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding

    Kohei Torimi, Ryosuke Yamada, Daichi Otsuka, Kensho Hara, Yuki M. Asano, Hirokatsu Kataoka, and Yoshimitsu Aoki

    PDF Bib arxiv

    @article{ruthard2024do,
      show_bib = {true},
      title = {Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding},
      author = {Torimi, Kohei and Yamada, Ryosuke and Otsuka, Daichi and Hara, Kensho and Asano, Yuki M. and Kataoka, Hirokatsu and Aoki, Yoshimitsu},
      year = {2025},
    }

    ---

13. 

    2025

    TULIP: Token-length Upgraded CLIP

    Ivona Najdenkoska, Mohammad Mahdi Derakhshani, Yuki M Asano, Nanne Noord, Marcel Worring, and Cees GM Snoek

    PDF Bib ICLR

    @article{najdenkoska2024tulip,
      show_bib = {true},
      title = {TULIP: Token-length Upgraded CLIP},
      author = {Najdenkoska, Ivona and Derakhshani, Mohammad Mahdi and Asano, Yuki M and van Noord, Nanne and Worring, Marcel and Snoek, Cees GM},
      journal = {ICLR},
      year = {2025}
    }

    ---

14. 

    2025

    Near, far: Patch-ordering enhances vision foundation models’ scene understanding

    Valentinos Pariza, Mohammadreza Salehi, Gertjan Burghouts, Francesco Locatello, and Yuki M. Asano

    PDF Bib Code ICLR

    @article{pariza2025near,
      show_bib = {true},
      title = {Near, far: Patch-ordering enhances vision foundation models' scene understanding},
      author = {Pariza, Valentinos and Salehi, Mohammadreza and Burghouts, Gertjan and Locatello, Francesco and Asano, Yuki M.},
      year = {2025},
      journal = {ICLR}
    }

    ---

15. 

    2025

    VaLID: Variable-Length Input Diffusion for Novel View Synthesis

    Shijie Li, Farhad G. Zanjani, Haitam Ben Yahia, Yuki M. Asano, Jürgen Gall, and Amirhossein Habibian

    PDF Bib WACV

    @article{li2025valid,
      show_bib = {true},
      title = {VaLID: Variable-Length Input Diffusion for Novel View Synthesis},
      author = {Li, Shijie and Zanjani, Farhad G. and Yahia, Haitam Ben and Asano, Yuki M. and Gall, Jürgen and Habibian, Amirhossein},
      year = {2025},
      journal = {WACV}
    }

    ---

16. 

    2024

    The Common Stability Mechanism behind most Self-Supervised Learning Approaches

    Abhishek Jha, Matthew B. Blaschko, Yuki M. Asano, and Tinne Tuytelaars

    PDF Bib arXiv

    @article{jha2024common,
      show_bib = {true},
      title = {The Common Stability Mechanism behind most Self-Supervised Learning Approaches},
      author = {Jha, Abhishek and Blaschko, Matthew B. and Asano, Yuki M. and Tuytelaars, Tinne},
      year = {2024},
      journal = {arXiv},
    }

    ---

17. 

    2024

    SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery

    Sarah Rastegar, Mohammadreza Salehi, Yuki M Asano, Hazel Doughty, and Cees G M Snoek

    PDF Bib Code ECCV

    @article{RastegarECCV2024,
      show_bib = {true},
      title = {SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery},
      author = {Rastegar, Sarah and Salehi, Mohammadreza and Asano, Yuki M and Doughty, Hazel and Snoek, Cees G M},
      year = {2024},
      journal = {ECCV}
    }

    ---

18. 

    2024

    Redefining Normal: A Novel Object-Level Approach for Multi-Object Novelty Detection

    Mohammadreza Salehi, Nikolaos Apostolikas Efstratios Gavves, Cees GM Snoek, and Yuki M Asano

    PDF Bib Code ACCV Oral

    @article{salehi2024redefining,
      show_bib = {true},
      title = {Redefining Normal: A Novel Object-Level Approach for Multi-Object Novelty Detection},
      author = {Salehi, Mohammadreza and Gavves, Nikolaos Apostolikas Efstratios and Snoek, Cees GM and Asano, Yuki M},
      journal = {ACCV},
      year = {2024}
    }

    ---

19. 

    2024

    Do better language models have crisper vision?

    Jona Ruthard, Gertjan Burghouts, Serge Belongie, and Yuki M. Asano

    PDF Bib arxiv

    @article{ruthard2024dp,
      show_bib = {true},
      title = {Do better language models have crisper vision?},
      author = {Ruthard, Jona and Burghouts, Gertjan and Belongie, Serge and Asano, Yuki M.},
      year = {2024},
    }

    ---

20. 

    2024

    Self-Masking Networks for Unsupervised Adaptation

    Alfonso Taboada Warmerdam, Mathilde Caron, and Yuki M. Asano

    PDF Bib Code GCPR Oral

    @article{warmerdam2024self,
      show_bib = {true},
      title = {Self-Masking Networks for Unsupervised Adaptation},
      author = {Warmerdam, Alfonso Taboada and Caron, Mathilde and Asano, Yuki M.},
      year = {2024},
      journal = {GCPR},
    }

    ---

21. 

    2024

    Foundation Model or Finetune? Evaluation of few-shot semantic segmentation for river pollution

    Marga Don, Stijn Pinson, Blanca Guillen Cebrian, and Yuki M. Asano

    PDF Bib ECCV Green Foundation Model Workshop

    @article{don2024foundation,
      show_bib = {true},
      title = {Foundation Model or Finetune? Evaluation of few-shot semantic segmentation for river pollution},
      author = {Don, Marga and Pinson, Stijn and Cebrian, Blanca Guillen and Asano, Yuki M.},
      year = {2024},
      journal = {ECCV Green Foundation Model Workshop}
    }

    ---

22. 

    2024

    Rethinking Image Super-Resolution from Training Data Perspectives

    Go Ohtani, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, and Yoshimitsu Aoki

    PDF Bib Code ECCV

    @article{ohtani2024rethinking,
      show_bib = {true},
      title = {Rethinking Image Super-Resolution from Training Data Perspectives},
      author = {Ohtani, Go and Tadokoro, Ryu and Yamada, Ryosuke and Asano, Yuki M. and Laina, Iro and Rupprecht, Christian and Inoue, Nakamasa and Yokota, Rio and Kataoka, Hirokatsu and Aoki, Yoshimitsu},
      year = {2024},
      journal = {ECCV}
    }

    ---

23. 

    2024

    Scaling Backwards: Minimal Synthetic Pretraining?

    Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, and Hirokatsu Kataoka

    PDF Bib Code ECCV

    @article{nakamura2024scaling,
      show_bib = {true},
      title = {Scaling Backwards: Minimal Synthetic Pretraining?},
      author = {Nakamura, Ryo and Tadokoro, Ryu and Yamada, Ryosuke and Asano, Yuki M. and Laina, Iro and Rupprecht, Christian and Inoue, Nakamasa and Yokota, Rio and Kataoka, Hirokatsu},
      year = {2024},
      journal = {ECCV}
    }

    ---

24. 

    2024

    GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features

    Luc Straeter, Mohammadreza Salehi, Efstratios Gavves, Cees Snoek, and Yuki M. Asano

    PDF Bib ECCV

    @article{straeter2024general,
      show_bib = {true},
      title = {GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features},
      author = {Straeter, Luc and Salehi, Mohammadreza and Gavves, Efstratios and Snoek, Cees and Asano, Yuki M.},
      year = {2024},
      journal = {ECCV}
    }

    ---

25. 

    2024

    SIGMA: Sinkhorn-Guided Masked Video Modeling

    Mohammadreza Salehi, Michael Dorkenwald, Fida Mohammad Thoker, Efstratios Gavves, Cees Snoek, and Yuki M. Asano

    PDF Bib Website ECCV

    @article{salehi2024sigma,
      show_bib = {true},
      title = {SIGMA: Sinkhorn-Guided Masked Video Modeling},
      author = {Salehi, Mohammadreza and Dorkenwald, Michael and Thoker, Fida Mohammad and Gavves, Efstratios and Snoek, Cees and Asano, Yuki M.},
      year = {2024},
      journal = {ECCV}
    }

    ---

26. 

    2024

    No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations

    Walter Simoncini, Spyros Gidaris, Andrei Bursuc, and Yuki M. Asano

    PDF Bib Code Website NeurIPS

    @article{Simoncini2024fungi,
      show_bib = {true},
      title = {No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations},
      author = {Simoncini, Walter and Gidaris, Spyros and Bursuc, Andrei and Asano, Yuki M.},
      year = {2024},
      journal = {NeurIPS}
    }

    ---

27. 

    2024

    Object-Centric Diffusion for Efficient Video Editing

    Kumara Kahatapitiya, Adil Karjauv, Davide Abati, Fatih Porikli, Yuki M. Asano, and Amirhossein Habibian

    PDF Bib ECCV

    @article{Kahatapitiya2024object,
      show_bib = {true},
      title = {Object-Centric Diffusion for Efficient Video Editing},
      author = {Kahatapitiya, Kumara and Karjauv, Adil and Abati, Davide and Porikli, Fatih and Asano, Yuki M. and Habibian, Amirhossein},
      year = {2024},
      journal = {ECCV}
    }

    ---

28. 

    2024

    Federated Learning with a Single Shared Image

    Sunny Soni, Aaqib Saeed, and Yuki M. Asano

    PDF Bib CVPR LIMIT workshop

    @article{soni2024federated,
      author = {Soni, Sunny and Saeed, Aaqib and Asano, Yuki M.},
      title = {Federated Learning with a Single Shared Image},
      journal = {CVPR LIMIT workshop},
      year = {2024},
    }

    ---

29. 

    2024

    Privacy-Aware Visual Language Models

    Laurens Samson, Nimrod Barazani, Sennay Ghebreab, and Yuki M. Asano

    PDF Bib arXiv:2405.17423

    @article{samson2024privacy,
      title = {Privacy-Aware Visual Language Models},
      show_bib = {true},
      author = {Samson, Laurens and Barazani, Nimrod and Ghebreab, Sennay and Asano, Yuki M.},
      year = {2024},
      journal = {arXiv:2405.17423}
    }

    ---

30. 

    2024

    Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding

    Benjamin Bergner, Andrii Skliar, Amelie Royer, Tijmen Blankevoort, Yuki M Asano, and Babak Ehteshami Bejnordi

    PDF Bib arXiv:2402.16844

    @article{bergner2024think,
      show_bib = {true},
      title = {Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding},
      author = {Bergner, Benjamin and Skliar, Andrii and Royer, Amelie and Blankevoort, Tijmen and Asano, Yuki M and Bejnordi, Babak Ehteshami},
      year = {2024},
      journal = {arXiv:2402.16844}
    }

    ---

31. 

    2024

    PIN: Positional Insert unlocks object localisation abilities in VLMs

    Michael Dorkenwald, Nimrod Barazani, Cees G. M. Snoek, and Yuki M Asano

    PDF Bib Code Website CVPR

    @article{dorkenwald2024pin,
      show_bib = {true},
      title = {PIN: Positional Insert unlocks object localisation abilities in VLMs},
      author = {Dorkenwald, Michael and Barazani, Nimrod and Snoek, Cees G. M. and Asano, Yuki M},
      year = {2024},
      journal = {CVPR}
    }

    ---

32. 

    2024

    Learning to Count without Annotations

    Lukas Knobel, Tengda Han*, and Yuki M. Asano*

    PDF Bib Code CVPR

    @article{knobel2024learning,
      title = {Learning to Count without Annotations},
      show_bib = {true},
      author = {Knobel, Lukas and Han*, Tengda and Asano*, Yuki M.},
      year = {2024},
      journal = {CVPR}
    }

    ---

33. 

    2024

    Flow Matching for Conditional Text Generation in a Few Sampling Steps

    Vincent Tao Hu, Di Wu, Yuki M Asano, Pascal Mettes, Basura Fernando, Bjorn Ommer, and Cees G. M. Snoek

    Bib EACL

    @article{hu2024flow,
      show_bib = {true},
      title = {Flow Matching for Conditional Text Generation in a Few Sampling Steps},
      author = {Hu, Vincent Tao and Wu, Di and Asano, Yuki M and Mettes, Pascal and Fernando, Basura and Ommer, Bjorn and Snoek, Cees G. M.},
      year = {2024},
      journal = {EACL}
    }

    ---

34. 

    2024

    Protect Your Score: Contact-tracing With Differential Privacy Guarantees

    Rob Romijnders, Yuki M Asano, Christos Louizos, and Max Welling

    PDF Bib AAAI Oral

    @article{romijnders2024protect,
      show_bib = {true},
      title = {Protect Your Score: Contact-tracing With Differential Privacy Guarantees},
      author = {Romijnders, Rob and Asano, Yuki M and Louizos, Christos and Welling, Max},
      journal = {AAAI},
      year = {2024}
    }

    ---

35. 

    2024

    Federated Fine-Tuning of Foundation Models via Probabilistic Masking

    Vasileios Tsouvalas, Yuki M. Asano, and Aaqib Saeed

    PDF Bib IEEE Big Data (Federated Learning Track)

    @article{tsouvalas2024federated,
      title = {Federated Fine-Tuning of Foundation Models via Probabilistic Masking},
      show_bib = {true},
      author = {Tsouvalas, Vasileios and Asano, Yuki M. and Saeed, Aaqib},
      year = {2024},
      journal = {IEEE Big Data (Federated Learning Track)}
    }

    ---

36. 

    2024

    VeRA: Vector-based Random Matrix Adaptation

    Dawid Kopiczko, Tijmen Blankevoort, and Yuki M. Asano

    PDF Bib Code Website ICLR

    @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}
    }

    ---

37. 

    2024

    The LLM Surgeon

    Tycho FA Ouderaa, Markus Nagel, Mart Baalen, Yuki M Asano, and Tijmen Blankevoort

    PDF Bib Code ICLR

    @article{van2023llm,
      title = {The LLM Surgeon},
      author = {van der Ouderaa, Tycho FA and Nagel, Markus and van Baalen, Mart and Asano, Yuki M and Blankevoort, Tijmen},
      journal = {ICLR},
      show_bib = {true},
      year = {2024}
    }

    ---

38. 

    2024

    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*

    PDF Bib Code ICLR 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}
    }

    ---

39. 

    2024

    Skip-Attention: Improving Vision Transformers by Paying Less Attention

    Shashanka Venkataramanan, Amir Ghodrati, Yuki M Asano, Fatih Porikli, and Amirhossein Habibian

    PDF Bib ICLR

    @article{venkataramanan2024skip,
      title = {Skip-Attention: Improving Vision Transformers by Paying Less Attention},
      author = {Venkataramanan, Shashanka and Ghodrati, Amir and Asano, Yuki M and Porikli, Fatih and Habibian, Amirhossein},
      journal = {ICLR},
      year = {2024}
    }

    ---

40. 

    2024

    Input-dependent Input-Prompts for Adapting Frozen Vision Transformers

    Jochem Loedeman, Maarten Stol, Tengda Han, and Yuki M. Asano

    PDF Bib BMVC

    @article{Loedeman2024Input,
      author = {Loedeman, Jochem and Stol, Maarten and Han, Tengda and Asano, Yuki M.},
      title = {Input-dependent Input-Prompts for Adapting Frozen Vision Transformers},
      journal = {BMVC},
      year = {2024}
    }

    ---

41. 

    2023

    Motion Flow Matching for Human Motion Synthesis and Editing

    Vincent Tao Hu, Wenzhe Yin, Pingchuan Ma, Yunlu Chen, Basura Fernando, Yuki M Asano, Efstratios Gavves, Pascal Mettes, Bjorn Ommer, and Cees G. M. Snoek

    PDF Bib arXiv: 2312.08895

    @article{hu2023motion,
      show_bib = {true},
      title = {Motion Flow Matching for Human Motion Synthesis and Editing},
      author = {Hu, Vincent Tao and Yin, Wenzhe and Ma, Pingchuan and Chen, Yunlu and Fernando, Basura and Asano, Yuki M and Gavves, Efstratios and Mettes, Pascal and Ommer, Bjorn and Snoek, Cees G. M.},
      year = {2023},
      journal = {arXiv: 2312.08895}
    }

    ---

42. 

    2023

    Guided Diffusion from Self-Supervised Diffusion Features

    Vincent Tao Hu, Yunlu Chen, Mathilde Caron, Yuki M. Asano, Cees G. M. Snoek, and Bjorn Ommer

    PDF Bib arXiv: 2312.08825

    @article{hu2023guided,
      show_bib = {true},
      title = {Guided Diffusion from Self-Supervised Diffusion Features},
      author = {Hu, Vincent Tao and Chen, Yunlu and Caron, Mathilde and Asano, Yuki M. and Snoek, Cees G. M. and Ommer, Bjorn},
      year = {2023},
      journal = {arXiv: 2312.08825}
    }

    ---

43. 

    2023

    Small Visual Language Models can also be Open-Ended Few-Shot Learners

    Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Marcel Worring*, Cees G.M. Snoek*, and Yuki M. Asano*

    PDF Bib arXiv: 2310.00500

    @article{derakhshani2023small,
      title = {Small Visual Language Models can also be Open-Ended Few-Shot Learners},
      show_bib = {true},
      author = {Derakhshani, Mohammad Mahdi and Najdenkoska, Ivona and Worring*, Marcel and Snoek*, Cees G.M. and Asano*, Yuki M.},
      year = {2023},
      journal = {arXiv: 2310.00500}
    }

    ---

44. 

    2023

    Efficient Neural PDE-Solvers using Quantization Aware Training

    Winfried Dool, Tijmen Blankevoort, Max Welling, and Yuki M. Asano

    PDF Bib ICCV Workshop on Resource Efficient Deep Learning for Computer Vision

    @article{dool2023efficient,
      title = {Efficient Neural PDE-Solvers using Quantization Aware Training},
      show_bib = {true},
      author = {van den Dool, Winfried and Blankevoort, Tijmen and Welling, Max and Asano, Yuki M.},
      year = {2023},
      journal = {ICCV Workshop on Resource Efficient Deep Learning for Computer Vision}
    }

    ---

45. 

    2023

    Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations

    Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, and Yuki M. Asano

    PDF Bib Code ICCV

    @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}
    }

    ---

46. 

    2023

    Self-Ordering Point Clouds

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

    PDF Bib ICCV 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}
    }

    ---

47. 

    2023

    BISCUIT: Causal Representation Learning from Binary Interactions

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

    PDF Bib Code Website UAI 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}
    }

    ---

48. 

    2023

    Towards Label-Efficient Incremental Learning: A Survey

    Mert Kilickaya, Joost Weijer, and Yuki M. Asano

    PDF Bib arXiv: 2302.00353

    @article{kilickaya2023towards,
      title = {Towards Label-Efficient Incremental Learning: A Survey},
      show_bib = {true},
      author = {Kilickaya, Mert and van de Weijer, Joost and Asano, Yuki M.},
      year = {2023},
      journal = {arXiv: 2302.00353}
    }

    ---

49. 

    2023

    Self-Guided Diffusion Models

    Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, and Cees G.M. Snoek

    PDF Bib Website CVPR

    @article{Hu2023self,
      author = {Hu, Vincent Tao and Zhang, David W. and Asano, Yuki M. and Burghouts, Gertjan J. and Snoek, Cees G.M.},
      title = {Self-Guided Diffusion Models},
      journal = {CVPR},
      year = {2023}
    }

    ---

50. 

    2023

    No time to waste: practical statistical contact tracing with few low-bit messages

    Rob Romijnders, Yuki M Asano, Christos Louizos, and Max Welling

    PDF Bib AISTATS

    @article{romijnders2023no,
      title = {No time to waste: practical statistical contact tracing with few low-bit messages},
      author = {Romijnders, Rob and Asano, Yuki M and Louizos, Christos and Welling, Max},
      journal = {AISTATS},
      year = {2023},
      organization = {PMLR}
    }

    ---

51. 

    2023

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

    Yuki M. Asano*, and Aaqib Saeed*

    PDF Bib Code Website ICLR

    @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}
    }

    ---

52. 

    2023

    Causal Representation Learning for Instantaneous and Temporal Effects

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

    PDF Bib Code ICLR

    @article{lippe2023causal,
      title = {Causal Representation Learning for Instantaneous and Temporal Effects},
      author = {Lippe, Phillip and Magliacane, Sara and L{\"o}we, Sindy and Asano, Yuki M. and Cohen, Taco and Gavves, Efstratios},
      journal = {ICLR},
      year = {2023}
    }

    ---

53. 

    2022

    Self-supervised learning of object parts for semantic segmentation

    Adrian Ziegler, and Yuki M Asano

    PDF Bib Code CVPR

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

    ---

54. 

    2022

    Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements

    Conrad Borchers, Dalia Sara Gala, Benjamin Gilburt, Eduard Oravkin, Wilfried Bounsi, Yuki M. Asano, and Hannah Rose Kirk

    PDF Bib Code NAACL workshop on Gender Bias in NLP Oral

    @article{borchers2022looking,
      title = {Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements},
      author = {Borchers, Conrad and Gala, Dalia Sara and Gilburt, Benjamin and Oravkin, Eduard and Bounsi, Wilfried and Asano, Yuki M. and Kirk, Hannah Rose},
      year = {2022},
      journal = {NAACL workshop on Gender Bias in NLP}
    }

    ---

55. 

    2022

    Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing

    Iro Laina, Yuki M. Asano, and Andrea Vedaldi

    PDF Bib Code ICLR

    @article{laina2020measuring,
      title = {Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing},
      author = {Laina, Iro and Asano, Yuki M. and Vedaldi, Andrea},
      year = {2022},
      journal = {ICLR}
    }

    ---

56. 

    2022

    CITRIS: Causal Identifiability from Temporal Intervened Sequences

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

    PDF Code ICML

    ---

    </div>

57. 

    2022

    VTC: Improving Video-Text Retrieval with User Comments

    Laura Hanu, Yuki M Asano, Thewlis James, and Christian Rupprecht

    PDF Bib Code Website ECCV

    @article{hanu2022vtc,
      title = {VTC: Improving Video-Text Retrieval with User Comments},
      author = {Hanu, Laura and Asano, Yuki M and James, Thewlis and Rupprecht, Christian},
      journal = {ECCV},
      year = {2022}
    }

    ---

58. 

    2022

    Less Than Few: Self-shot Video Instance Segmentation

    Pengwan Yang, Yuki M Asano, Pascal Mettes, and Cees G.M. Snoek

    PDF Bib ECCV

    @article{yang2022less,
      title = {Less Than Few: Self-shot Video Instance Segmentation},
      author = {Yang, Pengwan and Asano, Yuki M and Mettes, Pascal and Snoek, Cees G.M.},
      journal = {ECCV},
      year = {2022}
    }

    ---

59. 

    2022

    Self-supervised object detection from audio-visual correspondence

    Triantafyllos Afouras*, Yuki M. Asano*, Francois Fagan, Andrea Vedaldi, and Florian Metze

    PDF Bib CVPR

    @article{afouras2021selfsupervised,
      title = {Self-supervised object detection from audio-visual correspondence},
      author = {Afouras*, Triantafyllos and Asano*, Yuki M. and Fagan, Francois and Vedaldi, Andrea and Metze, Florian},
      year = {2022},
      journal = {CVPR}
    }

    ---

60. 

    2021

    Emergent inequality and business cycles in a simple behavioral macroeconomic model

    Yuki M. Asano, Jakob J. Kolb, Jobst Heitzig, and J. Doyne Farmer

    PDF Bib Code Proceedings of the National Academy of Sciences (PNAS)

    @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)}
    }

    ---

61. 

    2021

    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

    PDF Bib Code NeurIPS 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}
    }

    ---

62. 

    2021

    Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset

    Hannah Kirk, Yennie Jun, Paulius Rauba, Gal Wachtel, Ruining Li, Xingjian Bai, Noah Broestl, Martin Doff-Sotta, Aleksandar Shtedritski, and Yuki M Asano

    PDF Bib ACL WOAH workshop 2021

    @article{kirk2021memes,
      title = {Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset},
      author = {Kirk, Hannah and Jun, Yennie and Rauba, Paulius and Wachtel, Gal and Li, Ruining and Bai, Xingjian and Broestl, Noah and Doff-Sotta, Martin and Shtedritski, Aleksandar and Asano, Yuki M},
      journal = {ACL WOAH workshop 2021},
      year = {2021}
    }

    ---

63. 

    2021

    Support-set bottlenecks for video-text representation learning

    Mandela Patrick*, Po-Yao Huang*, Yuki M. Asano*, Florian Metze, Alexander Hauptmann, João F. Henriques, and Andrea Vedaldi

    PDF Bib ICLR Spotlight

    @article{patrick2021support,
      title = {Support-set bottlenecks for video-text representation learning},
      author = {Patrick*, Mandela and Huang*, Po-Yao and Asano*, Yuki M. and Metze, Florian and Hauptmann, Alexander and Henriques, João F. and Vedaldi, Andrea},
      year = {2021},
      journal = {ICLR}
    }

    ---

64. 

    2021

    On Compositions of Transformations in Contrastive Self-Supervised Learning

    Mandela Patrick*, Yuki M. Asano*, Polina Kuznetsova, Ruth Fong, João F. Henriques, Geoffrey Zweig, and Andrea Vedaldi

    Bib Code ICCV

    @article{patrick2020multimodal,
      title = {On Compositions of Transformations in Contrastive Self-Supervised Learning},
      author = {Patrick*, Mandela and Asano*, Yuki M. and Kuznetsova, Polina and Fong, Ruth and Henriques, João F. and Zweig, Geoffrey and Vedaldi, Andrea},
      year = {2021},
      journal = {ICCV}
    }

    ---

65. 

    2021

    Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models

    Hannah Kirk, Yennie Jun, Haider Iqbal, Elias Benussi, Filippo Volpin, Frederic A. Dreyer, Aleksandar Shtedritski, and Yuki M. Asano

    PDF Bib Code NeurIPS

    @article{Kirk2021bias,
      title = {Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models},
      author = {Kirk, Hannah and Jun, Yennie and Iqbal, Haider and Benussi, Elias and Volpin, Filippo and Dreyer, Frederic A. and Shtedritski, Aleksandar and Asano, Yuki M.},
      year = {2021},
      journal = {NeurIPS}
    }

    ---

66. 

    2021

    Privacy-preserving Object Detection

    Peiyang He, Charlie Griffin, Krzysztof Kacprzyk, Artjom Joosen, Michael Collyer, Aleksandar Shtedritski, and Yuki M. Asano

    PDF Bib arXiv

    @article{he2021privacypreserving,
      title = {Privacy-preserving Object Detection},
      author = {He, Peiyang and Griffin, Charlie and Kacprzyk, Krzysztof and Joosen, Artjom and Collyer, Michael and Shtedritski, Aleksandar and Asano, Yuki M.},
      year = {2021},
      eprint = {2103.06587},
      journal = {arXiv},
    }

    ---

67. 

    2021

    Space-time crop & attend: Improving cross-modal video representation learning

    Mandela Patrick*, Po-Yao Huang*, Yuki M. Asano*, Ishan Misra, Florian Metze, Andrea Vedaldi, and João F. Henriques

    PDF Bib Code ICCV

    @article{patrick2021space,
      title = {Space-time crop \& attend: Improving cross-modal video representation learning},
      author = {Patrick*, Mandela and Huang*, Po-Yao and Asano*, Yuki M. and Misra, Ishan and Metze, Florian and Vedaldi, Andrea and Henriques, João F.},
      journal = {ICCV},
      year = {2021}
    }

    ---

68. 

    2021

    PASS: An ImageNet replacement for self-supervised pretraining without humans

    Yuki M. Asano, Christian Rupprecht, Andrew Zisserman, and Andrea Vedaldi

    PDF Bib Code Website NeurIPS Track on Datasets and Benchmarks

    @article{asano21pass,
      author = {Asano, Yuki M. and Rupprecht, Christian and Zisserman, Andrew and Vedaldi, Andrea},
      title = {PASS: An ImageNet replacement for self-supervised pretraining without humans},
      journal = {NeurIPS Track on Datasets and Benchmarks},
      year = {2021}
    }

    ---

69. 

    2020

    Labelling unlabelled videos from scratch with multi-modal self-supervision

    Yuki M. Asano, Mandela Patrick, Christian Rupprecht, and Andrea Vedaldi

    PDF Bib Code Website NeurIPS

    @article{asano2021labelling,
      title = {Labelling unlabelled videos from scratch with multi-modal self-supervision},
      author = {Asano, Yuki M. and Patrick, Mandela and Rupprecht, Christian and Vedaldi, Andrea},
      journal = {NeurIPS},
      year = {2020}
    }

    ---

70. 

    2020

    Self-labelling via simultaneous clustering and representation learning

    Yuki M. Asano, Christian Rupprecht, and Andrea Vedaldi

    PDF Bib Blog Code Website ICLR 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}
    }

    ---

71. 

    2020

    A critical analysis of self-supervision, or what we can learn from a single image

    Yuki M. Asano, Christian Rupprecht, and Andrea Vedaldi

    PDF Bib Code ICLR

    @article{asano2020a,
      title = {A critical analysis of self-supervision, or what we can learn from a single image},
      author = {Asano, Yuki M. and Rupprecht, Christian and Vedaldi, Andrea},
      journal = {ICLR},
      year = {2020}
    }

    ---

72. 

    2019

    Rising adoption and retention of meat-free diets in online recipe data

    Yuki M. Asano, and Gesa Biermann

    PDF Bib Code Nature Sustainability

    @article{asano2019rising,
      title = {Rising adoption and retention of meat-free diets in online recipe data},
      author = {Asano, Yuki M. and Biermann, Gesa},
      journal = {Nature Sustainability},
      year = {2019},
      publisher = {Nature Publishing Group UK London}
    }

    ---

73. 

    2015

    SU-E-J-147: Monte Carlo Study of the Precision and Accuracy of Proton CT Reconstructed Relative Stopping Power Maps

    G Dedes, Y Asano, N Arbor, D Dauvergne, J Letang, E Testa, S Rit, and K Parodi

    Medical physics

    ---

    </div>