@article{ruthard2024do,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},}
TVBench: Redesigning Video-Language Evaluation
Daniel Cores, Michael Dorkenwald, Manuel Mucientes, Cees G. M. Snoek, and Yuki M. Asano
@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},show_bib={true},year={2024}}
Self-Masking Networks for Unsupervised Adaptation
Alfonso Taboada Warmerdam, Mathilde Caron, and Yuki M. Asano
@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={GDPR},}
NeCo: Improving DINOv2’s spatial representations in 19 GPU hours with Patch Neighbor Consistency
Valentinos Pariza, Mohammadreza Salehi, Gertjan Burghouts, Francesco Locatello, and Yuki M. Asano
@article{pariza2024neco,show_bib={true},title={NeCo: Improving DINOv2's spatial representations in 19 GPU hours with Patch Neighbor Consistency},author={Pariza, Valentinos and Salehi, Mohammadreza and Burghouts, Gertjan and Locatello, Francesco and Asano, Yuki M.},year={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
@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}}
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
@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}}
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
@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}}
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features
Luc Straeter, Mohammadreza Salehi, Efstratios Gavves, Cees Snoek, and Yuki M. Asano
@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}}
SIGMA: Sinkhorn-Guided Masked Video Modeling
Mohammadreza Salehi, Michael Dorkenwald, Fida Mohammad Thoker, Efstratios Gavves, Cees Snoek, and Yuki M. Asano
@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}}
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
Walter Simoncini, Spyros Gidaris, Andrei Bursuc, and Yuki M. Asano
@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},}
Object-Centric Diffusion for Efficient Video Editing
Kumara Kahatapitiya, Adil Karjauv, Davide Abati, Fatih Porikli, Yuki M. Asano, and Amirhossein Habibian
@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}}
@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},}
Privacy-Aware Visual Language Models
Laurens Samson, Nimrod Barazani, Sennay Ghebreab, and Yuki M. Asano
@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}}
Bitune: Bidirectional Instruction-Tuning
Dawid Kopiczko, Tijmen Blankevoort, and Yuki M. Asano
@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}}
PIN: Positional Insert unlocks object localisation abilities in VLMs
Michael Dorkenwald, Nimrod Barazani, Cees G. M. Snoek, and Yuki M Asano
@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}}
@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}}
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
@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}}
Protect Your Score: Contact-tracing With Differential Privacy Guarantees
Rob Romijnders, Yuki M Asano, Christos Louizos, and Max Welling
@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}}
Federated Fine-Tuning of Foundation Models via Probabilistic Masking
Vasileios Tsouvalas, Yuki M. Asano, and Aaqib Saeed
@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)}}
VeRA: Vector-based Random Matrix Adaptation
Dawid Kopiczko, Tijmen Blankevoort, and Yuki M. Asano
@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}}
The LLM Surgeon
Tycho FA Ouderaa, Markus Nagel, Mart Baalen, Yuki M Asano, and Tijmen Blankevoort
@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}}
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*
@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}}
Skip-Attention: Improving Vision Transformers by Paying Less Attention
Shashanka Venkataramanan, Amir Ghodrati, Yuki M Asano, Fatih Porikli, and Amirhossein Habibian
@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}}
Input-dependent Input-Prompts for Adapting Frozen Vision Transformers
Jochem Loedeman, Maarten Stol, Tengda Han, and Yuki M. Asano
@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}}
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
@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}}
Self-Guided Open-Vocabulary Semantic Segmentation
Osman Ülger, Maksymilian Kulicki, Yuki M. Asano, and Martin R. Oswald
@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={2023},journal={arXiv: 2312.04539}}
Guided Diffusion from Self-Supervised Diffusion Features
Vincent Tao Hu, Yunlu Chen, Mathilde Caron, Yuki M. Asano, Cees G. M. Snoek, and Bjorn Ommer
@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}}
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*
@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}}
Efficient Neural PDE-Solvers using Quantization Aware Training
Winfried Dool, Tijmen Blankevoort, Max Welling, and Yuki M. Asano
ICCV Workshop on Resource Efficient Deep Learning for Computer Vision, 2023
@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}}
Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations
Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, and Yuki M. Asano
@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*
@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
@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}}
Towards Label-Efficient Incremental Learning: A Survey
@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}}
Self-Guided Diffusion Models
Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, and Cees G.M. Snoek
@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}}
No time to waste: practical statistical contact tracing with few low-bit messages
Rob Romijnders, Yuki M Asano, Christos Louizos, and Max Welling
@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}}
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image
@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}}
Causal Representation Learning for Instantaneous and Temporal Effects
Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, and Efstratios Gavves
@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}}
2022
Self-supervised learning of object parts for semantic segmentation
@article{ziegler2022self,title={Self-supervised learning of object parts for semantic segmentation},author={Ziegler, Adrian and Asano, Yuki M},journal={CVPR},year={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
@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}}
Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing
@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}}
CITRIS: Causal Identifiability from Temporal Intervened Sequences
Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, and Efstratios Gavves
@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}}
Less Than Few: Self-shot Video Instance Segmentation
Pengwan Yang, Yuki M Asano, Pascal Mettes, and Cees G.M. Snoek
@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}}
Self-supervised object detection from audio-visual correspondence
Triantafyllos Afouras*, Yuki M. Asano*, Francois Fagan, Andrea Vedaldi, and Florian Metze
@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}}
2021
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
@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)}}
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
@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}}
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
@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}}
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
@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}}
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
@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}}
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
@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}}
Privacy-preserving Object Detection
Peiyang He, Charlie Griffin, Krzysztof Kacprzyk, Artjom Joosen, Michael Collyer, Aleksandar Shtedritski, and Yuki M. Asano
@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},}
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
@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}}
PASS: An ImageNet replacement for self-supervised pretraining without humans
Yuki M. Asano, Christian Rupprecht, Andrew Zisserman, and Andrea Vedaldi
@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}}
2020
Labelling unlabelled videos from scratch with multi-modal self-supervision
Yuki M. Asano, Mandela Patrick, Christian Rupprecht, and Andrea Vedaldi
@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}}
Self-labelling via simultaneous clustering and representation learning
Yuki M. Asano, Christian Rupprecht, and Andrea Vedaldi
@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}}
A critical analysis of self-supervision, or what we can learn from a single image
Yuki M. Asano, Christian Rupprecht, and Andrea Vedaldi
@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}}
