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ORCIDYuki Markus Asano
Yuki M. Asano – Yuki Asano 0001
Person information
- affiliation: University of Technology Nuremberg, Germany
- affiliation (former): University of Amsterdam, Institute of Informatics, Netherlands
Other persons with the same name
- Yuki Asano — disambiguation page
- Yuki Asano 0002
![[0000-0003-2115-1417]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-2115-1417")
— University of Tokyo, Department of Mechano-Informatics, Graduate School of Information Science, and Technology, Japan - Yuki Asano 0003 — University of Konstanz, Department of Linguistics, Germany (and 1 more)
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2020 – today
- 2025
[j1]Sotirios Konstantakos, Jorgen Cani, Ioannis Mademlis, Despina Ioanna Chalkiadaki, Yuki M. Asano, Efstratios Gavves, Georgios Th. Papadopoulos:
Self-supervised visual learning in the low-data regime: A comparative evaluation. Neurocomputing 620: 129199 (2025)- [c45]Ivona Najdenkoska, Mohammad Mahdi Derakhshani, Yuki M. Asano, Nanne van Noord, Marcel Worring, Cees G. M. Snoek:
TULIP: Token-length Upgraded CLIP. ICLR 2025 - [c44]Valentinos Pariza, Mohammadreza Salehi, Gertjan J. Burghouts, Francesco Locatello, Yuki M. Asano:
Near, far: Patch-ordering enhances vision foundation models' scene understanding. ICLR 2025 - [c43]Shijie Li, Farhad G. Zanjani, Haitam Ben Yahia, Yuki M. Asano, Jürgen Gall, Amirhossein Habibian:
Valid: Variable-Length Input Diffusion for Novel View Synthesis. WACV 2025: 2240-2249 - [i64]Kohei Torimi, Ryosuke Yamada, Daichi Otsuka, Kensho Hara, Yuki M. Asano, Hirokatsu Kataoka, Yoshimitsu Aoki:
Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding. CoRR abs/2501.09278 (2025) - [i63]Abhishek Jha, Tinne Tuytelaars, Yuki M. Asano:
Unsupervised Parameter Efficient Source-free Post-pretraining. CoRR abs/2502.21313 (2025) - [i62]Pramit Saha, Divyanshu Mishra, Netzahualcoyotl Hernandez-Cruz, Olga Patey, Aris T. Papageorghiou, Yuki M. Asano, J. Alison Noble:
Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos. CoRR abs/2503.07799 (2025) - 2024
- [c42]Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling:
Protect Your Score: Contact-Tracing with Differential Privacy Guarantees. AAAI 2024: 14829-14837 - [c41]Mohammadreza Salehi, Nikolaos Apostolikas, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano:
Redefining Normal: A Novel Object-Level Approach for Multi-object Novelty Detection. ACCV (6) 2024: 445-461 - [c40]Vasileios Tsouvalas, Yuki M. Asano, Aaqib Saeed:
DeltaMask: Minimizing Communication in Federated Fine-Tuning of Vision Foundation Models. IEEE Big Data 2024: 8042-8051 - [c39]Sunny Soni, Aaqib Saeed, Yuki M. Asano:
Federated Learning with a Single Shared Image. CVPR Workshops 2024: 7782-7790 - [c38]Michael Dorkenwald, Nimrod Barazani, Cees G. M. Snoek, Yuki M. Asano:
PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs. CVPR 2024: 13548-13558 - [c37]Lukas Knobel, Tengda Han, Yuki M. Asano:
Learning to Count Without Annotations. CVPR 2024: 22924-22934 - [c36]Vincent Tao Hu, Di Wu, Yuki Markus Asano, Pascal Mettes, Basura Fernando, Björn Ommer, Cees Snoek:
Flow Matching for Conditional Text Generation in a Few Sampling Steps. EACL (2) 2024: 380-392 - [c35]Go Ohtani, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, Yoshimitsu Aoki:
Rethinking Image Super-Resolution from Training Data Perspectives. ECCV (17) 2024: 19-36 - [c34]Kumara Kahatapitiya, Adil Karjauv, Davide Abati, Fatih Porikli, Yuki M. Asano, Amirhossein Habibian:
Object-Centric Diffusion for Efficient Video Editing. ECCV (57) 2024: 91-108 - [c33]Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka:
Scaling Backwards: Minimal Synthetic Pre-Training? ECCV (15) 2024: 153-171 - [c32]Mohammadreza Salehi, Michael Dorkenwald, Fida Mohammad Thoker, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano:
SIGMA: Sinkhorn-Guided Masked Video Modeling. ECCV (24) 2024: 293-312 - [c31]Sarah Rastegar, Mohammadreza Salehi, Yuki M. Asano, Hazel Doughty, Cees G. M. Snoek:
SelEx: Self-expertise in Fine-Grained Generalized Category Discovery. ECCV (70) 2024: 440-458 - [c30]Luc P. J. Sträter, Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano:
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features. ECCV (37) 2024: 448-465 - [c29]Dawid Jan Kopiczko, Tijmen Blankevoort, Yuki M. Asano:
VeRA: Vector-based Random Matrix Adaptation. ICLR 2024 - [c28]Shashanka Venkataramanan, Amir Ghodrati, Yuki M. Asano, Fatih Porikli, Amirhossein Habibian:
Skip-Attention: Improving Vision Transformers by Paying Less Attention. ICLR 2024 - [c27]Shashanka Venkataramanan, Mamshad Nayeem Rizve, João Carreira, Yuki M. Asano, Yannis Avrithis:
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video. ICLR 2024 - [c26]Walter Simoncini, Andrei Bursuc, Spyridon Gidaris, Yuki M. Asano:
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations. NeurIPS 2024 - [i61]Kumara Kahatapitiya, Adil Karjauv, Davide Abati, Fatih Porikli, Yuki M. Asano, Amirhossein Habibian:
Object-Centric Diffusion for Efficient Video Editing. CoRR abs/2401.05735 (2024) - [i60]Michael Dorkenwald, Nimrod Barazani, Cees G. M. Snoek, Yuki M. Asano:
PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs. CoRR abs/2402.08657 (2024) - [i59]Abhishek Jha, Matthew B. Blaschko, Yuki M. Asano, Tinne Tuytelaars:
The Common Stability Mechanism behind most Self-Supervised Learning Approaches. CoRR abs/2402.14957 (2024) - [i58]Benjamin Bergner, Andrii Skliar, Amelie Royer, Tijmen Blankevoort, Yuki M. Asano, Babak Ehteshami Bejnordi:
Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding. CoRR abs/2402.16844 (2024) - [i57]Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling:
DNA: Differentially private Neural Augmentation for contact tracing. CoRR abs/2404.13381 (2024) - [i56]Sotirios Konstantakos, Despina Ioanna Chalkiadaki, Ioannis Mademlis, Yuki M. Asano, Efstratios Gavves, Georgios Th. Papadopoulos:
Self-supervised visual learning in the low-data regime: a comparative evaluation. CoRR abs/2404.17202 (2024) - [i55]Dawid Jan Kopiczko, Tijmen Blankevoort, Yuki M. Asano:
Bitune: Bidirectional Instruction-Tuning. CoRR abs/2405.14862 (2024) - [i54]Laurens Samson, Nimrod Barazani, Sennay Ghebreab, Yuki M. Asano:
Privacy-Aware Visual Language Models. CoRR abs/2405.17423 (2024) - [i53]Sunny Soni, Aaqib Saeed, Yuki M. Asano:
Federated Learning with a Single Shared Image. CoRR abs/2406.12658 (2024) - [i52]Walter Simoncini, Spyros Gidaris, Andrei Bursuc, Yuki M. Asano:
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations. CoRR abs/2407.10964 (2024) - [i51]Luc P. J. Sträter, Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano:
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features. CoRR abs/2407.12427 (2024) - [i50]Mohammadreza Salehi, Michael Dorkenwald, Fida Mohammad Thoker, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano:
SIGMA: Sinkhorn-Guided Masked Video Modeling. CoRR abs/2407.15447 (2024) - [i49]Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka:
Scaling Backwards: Minimal Synthetic Pre-training? CoRR abs/2408.00677 (2024) - [i48]Valentinos Pariza, Mohammadreza Salehi, Gertjan J. Burghouts, Francesco Locatello, Yuki M. Asano:
NeCo: Improving DINOv2's spatial representations in 19 GPU hours with Patch Neighbor Consistency. CoRR abs/2408.11054 (2024) - [i47]Sarah Rastegar, Mohammadreza Salehi, Yuki M. Asano, Hazel Doughty, Cees G. M. Snoek:
SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery. CoRR abs/2408.14371 (2024) - [i46]Go Ohtani, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, Yoshimitsu Aoki:
Rethinking Image Super-Resolution from Training Data Perspectives. CoRR abs/2409.00768 (2024) - [i45]Marga Don, Stijn Pinson, Blanca Guillen Cebrian, Yuki M. Asano:
Foundation Model or Finetune? Evaluation of few-shot semantic segmentation for river pollution. CoRR abs/2409.03754 (2024) - [i44]Alfonso Taboada Warmerdam, Mathilde Caron, Yuki M. Asano:
Self-Masking Networks for Unsupervised Adaptation. CoRR abs/2409.07577 (2024) - [i43]Jona Ruthardt, Gertjan J. Burghouts, Serge J. Belongie, Yuki M. Asano:
Do better language models have crisper vision? CoRR abs/2410.07173 (2024) - [i42]Daniel Cores, Michael Dorkenwald, Manuel Mucientes, Cees G. M. Snoek, Yuki M. Asano:
TVBench: Redesigning Video-Language Evaluation. CoRR abs/2410.07752 (2024) - [i41]Ivona Najdenkoska, Mohammad Mahdi Derakhshani, Yuki M. Asano, Nanne van Noord, Marcel Worring, Cees G. M. Snoek:
TULIP: Token-length Upgraded CLIP. CoRR abs/2410.10034 (2024) - [i40]Aritra Bhowmik, Mohammad Mahdi Derakhshani, Dennis C. Koelma, Martin R. Oswald, Yuki M. Asano, Cees G. M. Snoek:
Learning to Ground VLMs without Forgetting. CoRR abs/2410.10491 (2024) - [i39]Mohammadreza Salehi, Nikolaos Apostolikas, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano:
Redefining Normal: A Novel Object-Level Approach for Multi-Object Novelty Detection. CoRR abs/2412.11148 (2024) - 2023
- [c25]Rob Romijnders, Yuki M. Asano, Christos Louizos, Max Welling:
No time to waste: practical statistical contact tracing with few low-bit messages. AISTATS 2023: 7943-7960 - [c24]Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek:
Self-Guided Diffusion Models. CVPR 2023: 18413-18422 - [c23]Pengwan Yang, Cees G. M. Snoek, Yuki M. Asano:
Self-Ordering Point Clouds. ICCV 2023: 15767-15776 - [c22]Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano:
Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. ICCV 2023: 16490-16501 - [c21]Winfried van den Dool, Tijmen Blankevoort, Max Welling, Yuki M. Asano:
Efficient Neural PDE-Solvers using Quantization Aware Training. ICCV (Workshops) 2023: 1415-1424 - [c20]Yuki M. Asano, Aaqib Saeed:
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image. ICLR 2023 - [c19]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems. ICLR 2023 - [c18]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
BISCUIT: Causal Representation Learning from Binary Interactions. UAI 2023: 1263-1273 - [i38]Shashanka Venkataramanan, Amir Ghodrati, Yuki M. Asano, Fatih Porikli, Amirhossein Habibian:
Skip-Attention: Improving Vision Transformers by Paying Less Attention. CoRR abs/2301.02240 (2023) - [i37]Mert Kilickaya, Joost van de Weijer, Yuki M. Asano:
Towards Label-Efficient Incremental Learning: A Survey. CoRR abs/2302.00353 (2023) - [i36]Pengwan Yang, Cees G. M. Snoek, Yuki M. Asano:
Self-Ordering Point Clouds. CoRR abs/2304.00961 (2023) - [i35]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
BISCUIT: Causal Representation Learning from Binary Interactions. CoRR abs/2306.09643 (2023) - [i34]Lukas Knobel, Tengda Han, Yuki M. Asano:
Semantic Counting from Self-Collages. CoRR abs/2307.08727 (2023) - [i33]Winfried van den Dool, Tijmen Blankevoort, Max Welling, Yuki M. Asano:
Efficient Neural PDE-Solvers using Quantization Aware Training. CoRR abs/2308.07350 (2023) - [i32]Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano:
Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. CoRR abs/2308.11796 (2023) - [i31]Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Cees G. M. Snoek, Marcel Worring, Yuki M. Asano:
Small Visual Language Models can also be Open-Ended Few-Shot Learners. CoRR abs/2310.00500 (2023) - [i30]Shashanka Venkataramanan, Mamshad Nayeem Rizve, João Carreira, Yuki M. Asano, Yannis Avrithis:
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video. CoRR abs/2310.08584 (2023) - [i29]Dawid Jan Kopiczko, Tijmen Blankevoort, Yuki Markus Asano:
VeRA: Vector-based Random Matrix Adaptation. CoRR abs/2310.11454 (2023) - [i28]Osman Ülger, Maksymilian Kulicki, Yuki Asano, Martin R. Oswald:
Self-Guided Open-Vocabulary Semantic Segmentation. CoRR abs/2312.04539 (2023) - [i27]Vincent Tao Hu, Yunlu Chen, Mathilde Caron, Yuki M. Asano, Cees G. M. Snoek, Björn Ommer:
Guided Diffusion from Self-Supervised Diffusion Features. CoRR abs/2312.08825 (2023) - [i26]Shijie Li, Farhad G. Zanjani, Haitam Ben Yahia, Yuki M. Asano, Juergen Gall, Amirhossein Habibian:
VaLID: Variable-Length Input Diffusion for Novel View Synthesis. CoRR abs/2312.08892 (2023) - [i25]Vincent Tao Hu, Wenzhe Yin, Pingchuan Ma, Yunlu Chen, Basura Fernando, Yuki M. Asano, Efstratios Gavves, Pascal Mettes, Björn Ommer, Cees G. M. Snoek:
Motion Flow Matching for Human Motion Synthesis and Editing. CoRR abs/2312.08895 (2023) - [i24]Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling:
Protect Your Score: Contact Tracing With Differential Privacy Guarantees. CoRR abs/2312.11581 (2023) - [i23]Tycho F. A. van der Ouderaa, Markus Nagel, Mart van Baalen, Yuki M. Asano, Tijmen Blankevoort:
The LLM Surgeon. CoRR abs/2312.17244 (2023) - 2022
- [c17]Triantafyllos Afouras, Yuki M. Asano, Francois Fagan, Andrea Vedaldi, Florian Metze:
Self-supervised object detection from audio-visual correspondence. CVPR 2022: 10565-10576 - [c16]Adrian Ziegler, Yuki M. Asano:
Self-Supervised Learning of Object Parts for Semantic Segmentation. CVPR 2022: 14482-14491 - [c15]Apostolos Panagiotopoulos, Mandy Toh, Triantafyllos Afouras, Yuki M. Asano:
Self-supervised Semantic Segmentation from Audio-Visual Data. GCPR (1) 2022: 37-52 - [c14]Alfonso Taboada Warmerdam, Mathilde Caron, Yuki M. Asano:
Self-masking Networks for Unsupervised Adaptation. GCPR (1) 2022: 86-102 - [c13]Pengwan Yang, Yuki M. Asano, Pascal Mettes, Cees G. M. Snoek:
Less Than Few: Self-shot Video Instance Segmentation. ECCV (34) 2022: 449-466 - [c12]Laura Hanu, James Thewlis, Yuki M. Asano, Christian Rupprecht:
VTC: Improving Video-Text Retrieval with User Comments. ECCV (35) 2022: 616-633 - [c11]Iro Laina, Yuki M. Asano, Andrea Vedaldi:
Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing. ICLR 2022 - [c10]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Stratis Gavves:
CITRIS: Causal Identifiability from Temporal Intervened Sequences. ICML 2022: 13557-13603 - [i22]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
CITRIS: Causal Identifiability from Temporal Intervened Sequences. CoRR abs/2202.03169 (2022) - [i21]Pengwan Yang, Yuki M. Asano, Pascal Mettes, Cees G. M. Snoek:
Less than Few: Self-Shot Video Instance Segmentation. CoRR abs/2204.08874 (2022) - [i20]Adrian Ziegler, Yuki M. Asano:
Self-Supervised Learning of Object Parts for Semantic Segmentation. CoRR abs/2204.13101 (2022) - [i19]Conrad Borchers, Dalia Sara Gala, Benjamin Gilburt, Eduard Oravkin, Wilfried Bounsi, Yuki M. Asano, Hannah Rose Kirk:
Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements. CoRR abs/2205.11374 (2022) - [i18]Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves:
iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects. CoRR abs/2206.06169 (2022) - [i17]Iro Laina, Yuki M. Asano, Andrea Vedaldi:
Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing. CoRR abs/2209.03268 (2022) - [i16]Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek:
Self-Guided Diffusion Models. CoRR abs/2210.06462 (2022) - [i15]Jochem Loedeman, Maarten C. Stol, Tengda Han, Yuki M. Asano:
Prompt Generation Networks for Efficient Adaptation of Frozen Vision Transformers. CoRR abs/2210.06466 (2022) - [i14]Laura Hanu, James Thewlis, Yuki M. Asano, Christian Rupprecht:
VTC: Improving Video-Text Retrieval with User Comments. CoRR abs/2210.10820 (2022) - 2021
- [b1]Yuki M. Asano:
Learning deep neural networks : necessity and scope of prior knowledge, raw data, and labels. University of Oxford, UK, 2021 - [c9]Mandela Patrick, Yuki Markus Asano, Polina Kuznetsova, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi:
On Compositions of Transformations in Contrastive Self-Supervised Learning. ICCV 2021: 9557-9567 - [c8]Mandela Patrick, Po-Yao Huang, Ishan Misra, Florian Metze, Andrea Vedaldi, Yuki M. Asano, João F. Henriques:
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning. ICCV 2021: 10540-10552 - [c7]Mandela Patrick, Po-Yao Huang, Yuki Markus Asano, Florian Metze, Alexander G. Hauptmann, João F. Henriques, Andrea Vedaldi:
Support-set bottlenecks for video-text representation learning. ICLR 2021 - [c6]Yuki M. Asano, Christian Rupprecht, Andrew Zisserman, Andrea Vedaldi:
PASS: An ImageNet replacement for self-supervised pretraining without humans. NeurIPS Datasets and Benchmarks 2021 - [c5]Hannah Rose Kirk, Yennie Jun, Filippo Volpin, Haider Iqbal, Elias Benussi, Frédéric A. Dreyer, Aleksandar Shtedritski, Yuki M. Asano:
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models. NeurIPS 2021: 2611-2624 - [c4]Mandela Patrick, Dylan Campbell, Yuki M. Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, João F. Henriques:
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers. NeurIPS 2021: 12493-12506 - [i13]Hannah Kirk, Yennie Jun, Haider Iqbal, Elias Benussi, Filippo Volpin, Frédéric A. Dreyer, Aleksandar Shtedritski, Yuki Markus Asano:
How True is GPT-2? An Empirical Analysis of Intersectional Occupational Biases. CoRR abs/2102.04130 (2021) - [i12]Peiyang He, Charlie Griffin, Krzysztof Kacprzyk, Artjom Joosen, Michael Collyer, Aleksandar Shtedritski, Yuki Markus Asano:
Privacy-preserving Object Detection. CoRR abs/2103.06587 (2021) - [i11]Mandela Patrick, Yuki Markus Asano, Bernie Huang, Ishan Misra, Florian Metze, João F. Henriques, Andrea Vedaldi:
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning. CoRR abs/2103.10211 (2021) - [i10]Triantafyllos Afouras, Yuki Markus Asano, Francois Fagan, Andrea Vedaldi, Florian Metze:
Self-supervised object detection from audio-visual correspondence. CoRR abs/2104.06401 (2021) - [i9]Mandela Patrick, Dylan Campbell, Yuki Markus Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, João F. Henriques:
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers. CoRR abs/2106.05392 (2021) - [i8]Hannah Rose Kirk, Yennie Jun, Paulius Rauba, Gal Wachtel, Ruining Li, Xingjian Bai, Noah Broestl, Martin Doff-Sotta, Aleksandar Shtedritski, Yuki Markus Asano:
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset. CoRR abs/2107.04313 (2021) - [i7]Yuki Markus Asano, Christian Rupprecht, Andrew Zisserman, Andrea Vedaldi:
PASS: An ImageNet replacement for self-supervised pretraining without humans. CoRR abs/2109.13228 (2021) - [i6]Yuki M. Asano, Aaqib Saeed:
Extrapolating from a Single Image to a Thousand Classes using Distillation. CoRR abs/2112.00725 (2021) - 2020
- [c3]Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi:
A critical analysis of self-supervision, or what we can learn from a single image. ICLR 2020 - [c2]Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi:
Self-labelling via simultaneous clustering and representation learning. ICLR 2020 - [c1]Yuki Markus Asano, Mandela Patrick, Christian Rupprecht, Andrea Vedaldi:
Labelling unlabelled videos from scratch with multi-modal self-supervision. NeurIPS 2020 - [i5]Mandela Patrick, Yuki Markus Asano, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi:
Multi-modal Self-Supervision from Generalized Data Transformations. CoRR abs/2003.04298 (2020) - [i4]Yuki Markus Asano, Mandela Patrick, Christian Rupprecht, Andrea Vedaldi:
Labelling unlabelled videos from scratch with multi-modal self-supervision. CoRR abs/2006.13662 (2020) - [i3]Mandela Patrick, Po-Yao Huang, Yuki Markus Asano, Florian Metze, Alexander G. Hauptmann, João F. Henriques, Andrea Vedaldi:
Support-set bottlenecks for video-text representation learning. CoRR abs/2010.02824 (2020)
2010 – 2019
- 2019
- [i2]Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi:
Surprising Effectiveness of Few-Image Unsupervised Feature Learning. CoRR abs/1904.13132 (2019) - [i1]Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi:
Self-labelling via simultaneous clustering and representation learning. CoRR abs/1911.05371 (2019)
Coauthor Index
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last updated on 2025-05-22 00:45 CEST by the dblp team
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