Surprising Effectiveness of Few-Image Unsupervised Feature Learning. - Yuki Markus Asano; Christian Rupprecht 001; Andrea Vedaldi (CoRR, 2019)

A critical analysis of self-supervision, or what we can learn from a single image. - Yuki Markus Asano; Christian Rupprecht 001; Andrea Vedaldi (ICLR, 2020)

Self-labelling via simultaneous clustering and representation learning. - Yuki Markus Asano; Christian Rupprecht 001; Andrea Vedaldi (ICLR, 2020)

Labelling unlabelled videos from scratch with multi-modal self-supervision. - Yuki Markus Asano; Mandela Patrick; Christian Rupprecht 001; Andrea Vedaldi (NeurIPS, 2020)

Multi-modal Self-Supervision from Generalized Data Transformations. - Mandela Patrick; Yuki Markus Asano; Ruth Fong; João F. Henriques; Geoffrey Zweig; Andrea Vedaldi (CoRR, 2020)

Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning. - Mandela Patrick; Po-Yao Huang 001; Ishan Misra; Florian Metze; Andrea Vedaldi; Yuki M. Asano; João F. Henriques (ICCV, 2021)

On Compositions of Transformations in Contrastive Self-Supervised Learning. - Mandela Patrick; Yuki Markus Asano; Polina Kuznetsova; Ruth Fong; João F. Henriques; Geoffrey Zweig; Andrea Vedaldi (ICCV, 2021)

Support-set bottlenecks for video-text representation learning. - Mandela Patrick; Po-Yao Huang 001; Yuki Markus Asano; Florian Metze; Alexander G. Hauptmann; João F. Henriques; Andrea Vedaldi (ICLR, 2021)

PASS: An ImageNet replacement for self-supervised pretraining without humans. - Yuki M. Asano; Christian Rupprecht 001; Andrew Zisserman; Andrea Vedaldi (NeurIPS Datasets and Benchmarks, 2021)

Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models. - Hannah Rose Kirk; Yennie Jun; Filippo Volpin; Haider Iqbal; Elias Benussi; Frédéric A. Dreyer; Aleksandar Shtedritski; Yuki M. Asano (NeurIPS, 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; João F. Henriques (NeurIPS, 2021)

How True is GPT-2? An Empirical Analysis of Intersectional Occupational Biases. - Hannah Kirk; Yennie Jun; Haider Iqbal; Elias Benussi; Filippo Volpin; Frédéric A. Dreyer; Aleksandar Shtedritski; Yuki Markus Asano (CoRR, 2021)

Privacy-preserving Object Detection. - Peiyang He; Charlie Griffin; Krzysztof Kacprzyk; Artjom Joosen; Michael Collyer; Aleksandar Shtedritski; Yuki Markus Asano (CoRR, 2021)

Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset. - Hannah Rose Kirk; Yennie Jun; Paulius Rauba; Gal Wachtel; Ruining Li; Xingjian Bai; Noah Broestl; Martin Doff-Sotta; Aleksandar Shtedritski; Yuki Markus Asano (CoRR, 2021)

Extrapolating from a Single Image to a Thousand Classes using Distillation. - Yuki M. Asano; Aaqib Saeed (CoRR, 2021)

Learning deep neural networks : necessity and scope of prior knowledge, raw data, and labels - Yuki M. Asano (2021)

Self-supervised object detection from audio-visual correspondence. - Triantafyllos Afouras; Yuki M. Asano; Francois Fagan; Andrea Vedaldi; Florian Metze (CVPR, 2022)

Self-Supervised Learning of Object Parts for Semantic Segmentation. - Adrian Ziegler; Yuki M. Asano (CVPR, 2022)

VTC: Improving Video-Text Retrieval with User Comments. - Laura Hanu; James Thewlis; Yuki M. Asano; Christian Rupprecht 001 (ECCV (35), 2022)

Less Than Few: Self-shot Video Instance Segmentation. - Pengwan Yang; Yuki M. Asano; Pascal Mettes; Cees G. M. Snoek (ECCV (34), 2022)

Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing. - Iro Laina; Yuki M. Asano; Andrea Vedaldi (ICLR, 2022)

CITRIS: Causal Identifiability from Temporal Intervened Sequences. - Phillip Lippe; Sara Magliacane; Sindy Löwe; Yuki M. Asano; Taco Cohen; Stratis Gavves (ICML, 2022)

CITRIS: Causal Identifiability from Temporal Intervened Sequences. - Phillip Lippe; Sara Magliacane; Sindy Löwe; Yuki M. Asano; Taco Cohen; Efstratios Gavves (CoRR, 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; Hannah Rose Kirk (CoRR, 2022)

iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects. - Phillip Lippe; Sara Magliacane; Sindy Löwe; Yuki M. Asano; Taco Cohen; Efstratios Gavves (CoRR, 2022)

Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing. - Iro Laina; Yuki M. Asano; Andrea Vedaldi (CoRR, 2022)

Prompt Generation Networks for Efficient Adaptation of Frozen Vision Transformers. - Jochem Loedeman; Maarten C. Stol; Tengda Han; Yuki M. Asano (CoRR, 2022)

No time to waste: practical statistical contact tracing with few low-bit messages. - Rob Romijnders; Yuki M. Asano; Christos Louizos; Max Welling (AISTATS, 2023)

Self-Guided Diffusion Models. - Vincent Tao Hu; David W. Zhang; Yuki M. Asano; Gertjan J. Burghouts; Cees G. M. Snoek (CVPR, 2023)

Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. - Mohammadreza Salehi; Efstratios Gavves; Cees G. M. Snoek; Yuki M. Asano (ICCV, 2023)

Self-Ordering Point Clouds. - Pengwan Yang; Cees G. M. Snoek; Yuki M. Asano (ICCV, 2023)

Efficient Neural PDE-Solvers using Quantization Aware Training. - Winfried van den Dool; Tijmen Blankevoort; Max Welling; Yuki M. Asano (ICCV (Workshops), 2023)

The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image. - Yuki M. Asano; Aaqib Saeed (ICLR, 2023)

Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems. - Phillip Lippe; Sara Magliacane; Sindy Löwe; Yuki M. Asano; Taco Cohen; Efstratios Gavves (ICLR, 2023)

BISCUIT: Causal Representation Learning from Binary Interactions. - Phillip Lippe; Sara Magliacane; Sindy Löwe; Yuki M. Asano; Taco Cohen; Efstratios Gavves (UAI, 2023)

Towards Label-Efficient Incremental Learning: A Survey. - Mert Kilickaya; Joost van de Weijer 001; Yuki M. Asano (CoRR, 2023)

Semantic Counting from Self-Collages. - Lukas Knobel; Tengda Han; Yuki M. Asano (CoRR, 2023)

Small Visual Language Models can also be Open-Ended Few-Shot Learners. - Mohammad Mahdi Derakhshani; Ivona Najdenkoska; Cees G. M. Snoek; Marcel Worring; Yuki M. Asano (CoRR, 2023)

Federated Fine-Tuning of Foundation Models via Probabilistic Masking. - Vasileios Tsouvalas; Yuki Asano 001; Aaqib Saeed (CoRR, 2023)

Self-Guided Open-Vocabulary Semantic Segmentation. - Osman Ülger; Maksymilian Kulicki; Yuki Asano 001; Martin R. Oswald (CoRR, 2023)

Guided Diffusion from Self-Supervised Diffusion Features. - Vincent Tao Hu; Yunlu Chen; Mathilde Caron; Yuki M. Asano; Cees G. M. Snoek; Björn Ommer (CoRR, 2023)

Motion Flow Matching for Human Motion Synthesis and Editing. - Vincent Tao Hu; Wenzhe Yin; Pingchuan Ma 006; Yunlu Chen; Basura Fernando; Yuki M. Asano; Efstratios Gavves; Pascal Mettes; Björn Ommer; Cees G. M. Snoek (CoRR, 2023)

The LLM Surgeon. - Tycho F. A. van der Ouderaa; Markus Nagel; Mart van Baalen; Yuki M. Asano; Tijmen Blankevoort (CoRR, 2023)

Protect Your Score: Contact-Tracing with Differential Privacy Guarantees. - Rob Romijnders; Christos Louizos; Yuki M. Asano; Max Welling (AAAI, 2024)

Redefining Normal: A Novel Object-Level Approach for Multi-object Novelty Detection. - Mohammadreza Salehi; Nikolaos Apostolikas; Efstratios Gavves; Cees G. M. Snoek; Yuki M. Asano (ACCV (6), 2024)

DeltaMask: Minimizing Communication in Federated Fine-Tuning of Vision Foundation Models. - Vasileios Tsouvalas; Yuki M. Asano; Aaqib Saeed (IEEE Big Data, 2024)

Prompt Generation Networks for Input-Space Adaptation of Frozen Vision Transformers. - Jochem Loedeman; Maarten C. Stol; Tengda Han; Yuki M. Asano (BMVC, 2024)

PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs. - Michael Dorkenwald; Nimrod Barazani; Cees G. M. Snoek; Yuki M. Asano (CVPR, 2024)

Learning to Count Without Annotations. - Lukas Knobel; Tengda Han; Yuki M. Asano (CVPR, 2024)

Federated Learning with a Single Shared Image. - Sunny Soni; Aaqib Saeed; Yuki M. Asano (CVPR Workshops, 2024)

Self-supervised Semantic Segmentation from Audio-Visual Data. - Apostolos Panagiotopoulos; Mandy Toh; Triantafyllos Afouras; Yuki M. Asano (GCPR (1), 2024)

Self-masking Networks for Unsupervised Adaptation. - Alfonso Taboada Warmerdam; Mathilde Caron; Yuki M. Asano (GCPR (1), 2024)

Flow Matching for Conditional Text Generation in a Few Sampling Steps. - Vincent Tao Hu; Di Wu; Yuki Markus Asano; Pascal Mettes; Basura Fernando; Björn Ommer; Cees Snoek (EACL (2), 2024)

Foundation Model or Finetune? Evaluation of Few-Shot Semantic Segmentation for River Pollution. - Marga Don; Stijn Pinson; Blanca Guillen Cebrian; Yuki M. Asano (ECCV Workshops (22), 2024)

Object-Centric Diffusion for Efficient Video Editing. - Kumara Kahatapitiya; Adil Karjauv; Davide Abati; Fatih Porikli; Yuki M. Asano; Amirhossein Habibian (ECCV (57), 2024)

Scaling Backwards: Minimal Synthetic Pre-Training? - Ryo Nakamura; Ryu Tadokoro; Ryosuke Yamada; Yuki M. Asano; Iro Laina; Christian Rupprecht 001; Nakamasa Inoue; Rio Yokota; Hirokatsu Kataoka (ECCV (15), 2024)

Rethinking Image Super-Resolution from Training Data Perspectives. - Go Ohtani; Ryu Tadokoro; Ryosuke Yamada; Yuki M. Asano; Iro Laina; Christian Rupprecht 001; Nakamasa Inoue; Rio Yokota; Hirokatsu Kataoka; Yoshimitsu Aoki (ECCV (17), 2024)

SelEx: Self-expertise in Fine-Grained Generalized Category Discovery. - Sarah Rastegar; Mohammadreza Salehi; Yuki M. Asano; Hazel Doughty; Cees G. M. Snoek (ECCV (70), 2024)

SIGMA: Sinkhorn-Guided Masked Video Modeling. - Mohammadreza Salehi; Michael Dorkenwald; Fida Mohammad Thoker; Efstratios Gavves; Cees G. M. Snoek; Yuki M. Asano (ECCV (24), 2024)

GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features. - Luc P. J. Sträter; Mohammadreza Salehi; Efstratios Gavves; Cees G. M. Snoek; Yuki M. Asano (ECCV (37), 2024)

VeRA: Vector-based Random Matrix Adaptation. - Dawid Jan Kopiczko; Tijmen Blankevoort; Yuki M. Asano (ICLR, 2024)

Skip-Attention: Improving Vision Transformers by Paying Less Attention. - Shashanka Venkataramanan; Amir Ghodrati; Yuki M. Asano; Fatih Porikli; Amirhossein Habibian (ICLR, 2024)

Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video. - Shashanka Venkataramanan; Mamshad Nayeem Rizve; João Carreira 001; Yuki M. Asano; Yannis Avrithis (ICLR, 2024)

No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations. - Walter Simoncini; Andrei Bursuc; Spyridon Gidaris; Yuki M. Asano (NeurIPS, 2024)

The Common Stability Mechanism behind most Self-Supervised Learning Approaches. - Abhishek Jha 001; Matthew B. Blaschko; Yuki M. Asano; Tinne Tuytelaars (CoRR, 2024)

Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding. - Benjamin Bergner; Andrii Skliar; Amelie Royer; Tijmen Blankevoort; Yuki M. Asano; Babak Ehteshami Bejnordi (CoRR, 2024)

DNA: Differentially private Neural Augmentation for contact tracing. - Rob Romijnders; Christos Louizos; Yuki M. Asano; Max Welling (CoRR, 2024)

Self-supervised visual learning in the low-data regime: a comparative evaluation. - Sotirios Konstantakos; Despina Ioanna Chalkiadaki; Ioannis Mademlis; Yuki M. Asano; Efstratios Gavves; Georgios Th. Papadopoulos (CoRR, 2024)

Bitune: Bidirectional Instruction-Tuning. - Dawid Jan Kopiczko; Tijmen Blankevoort; Yuki M. Asano (CoRR, 2024)

Privacy-Aware Visual Language Models. - Laurens Samson; Nimrod Barazani; Sennay Ghebreab; Yuki M. Asano (CoRR, 2024)

NeCo: Improving DINOv2's spatial representations in 19 GPU hours with Patch Neighbor Consistency. - Valentinos Pariza; Mohammadreza Salehi; Gertjan J. Burghouts; Francesco Locatello; Yuki M. Asano (CoRR, 2024)

Do better language models have crisper vision? - Jona Ruthardt; Gertjan J. Burghouts; Serge J. Belongie; Yuki M. Asano (CoRR, 2024)

TVBench: Redesigning Video-Language Evaluation. - Daniel Cores; Michael Dorkenwald; Manuel Mucientes; Cees G. M. Snoek; Yuki M. Asano (CoRR, 2024)

Learning to Ground VLMs without Forgetting. - Aritra Bhowmik; Mohammad Mahdi Derakhshani; Dennis C. Koelma; Martin R. Oswald; Yuki M. Asano; Cees G. M. Snoek (CoRR, 2024)

TULIP: Token-length Upgraded CLIP. - Ivona Najdenkoska; Mohammad Mahdi Derakhshani; Yuki M. Asano; Nanne van Noord; Marcel Worring; Cees G. M. Snoek (ICLR, 2025)

Near, far: Patch-ordering enhances vision foundation models' scene understanding. - Valentinos Pariza; Mohammadreza Salehi; Gertjan J. Burghouts; Francesco Locatello; Yuki M. Asano (ICLR, 2025)

Valid: Variable-Length Input Diffusion for Novel View Synthesis. - Shijie Li 006; Farhad G. Zanjani; Haitam Ben Yahia; Yuki M. Asano; Jürgen Gall; Amirhossein Habibian (WACV, 2025)

Self-supervised visual learning in the low-data regime: A comparative evaluation. - Sotirios Konstantakos; Jorgen Cani; Ioannis Mademlis; Despina Ioanna Chalkiadaki; Yuki M. Asano; Efstratios Gavves; Georgios Th. Papadopoulos (Neurocomputing, 2025)

SAMSelect: A Spectral Index Search for Marine Debris Visualization Using Segment Anything. - Joost van Dalen; Yuki M. Asano; Marc Rußwurm (IEEE Geosci. Remote. Sens. Lett., 2025)

Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding. - Kohei Torimi; Ryosuke Yamada; Daichi Otsuka; Kensho Hara; Yuki M. Asano; Hirokatsu Kataoka; Yoshimitsu Aoki (CoRR, 2025)

Unsupervised Parameter Efficient Source-free Post-pretraining. - Abhishek Jha 001; Tinne Tuytelaars; Yuki M. Asano (CoRR, 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 T. Papageorghiou; Yuki M. Asano; J. Alison Noble (CoRR, 2025)

CROC: Evaluating and Training T2I Metrics with Pseudo- and Human-Labeled Contrastive Robustness Checks. - Christoph Leiter; Yuki M. Asano; Margret Keuper; Steffen Eger (CoRR, 2025)

MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning. - Mohammadreza Salehi; Shashanka Venkataramanan; Ioana Simion; Efstratios Gavves; Cees G. M. Snoek; Yuki M. Asano (CoRR, 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; J. Alison Noble (CoRR, 2025)

Segment Any 3D-Part in a Scene from a Sentence. - Hongyu Wu; Pengwan Yang; Yuki M. Asano; Cees G. M. Snoek (CoRR, 2025)

KV Cache Steering for Inducing Reasoning in Small Language Models. - Max Belitsky; Dawid Jan Kopiczko; Michael Dorkenwald; Muhammad Jehanzeb Mirza; Cees G. M. Snoek; Yuki M. Asano (CoRR, 2025)

Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning. - Shashanka Venkataramanan; Valentinos Pariza; Mohammadreza Salehi; Lukas Knobel; Spyros Gidaris; Elias Ramzi; Andrei Bursuc; Yuki M. Asano (CoRR, 2025)