| An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale A Dosovitskiy*, L Beyer*, A Kolesnikov*, D Weissenborn*, X Zhai*, ... ICLR 2020, 2020 | 82647 | 2020 |
| In Defense of the Triplet Loss for Person Re-Identification A Hermans*, L Beyer*, B Leibe, *equal contribution arXiv preprint arXiv:1703.07737, 2017 | 4535 | 2017 |
| MLP-Mixer: An all-MLP architecture for vision I Tolstikhin*, N Houlsby*, A Kolesnikov*, L Beyer*, X Zhai, T Unterthiner, ... NeurIPS 2021, 2021 | 4124 | 2021 |
| Sigmoid loss for language image pre-training X Zhai, B Mustafa, A Kolesnikov, L Beyer Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2428 | 2023 |
| Big Transfer (BiT): General Visual Representation Learning A Kolesnikov*, L Beyer*, X Zhai*, J Puigcerver, J Yung, S Gelly, ... ECCV 2020, 2019 | 1781 | 2019 |
| Scaling Vision Transformers X Zhai*, A Kolesnikov*, N Houlsby, L Beyer*, *equal contribution CVPR 2022, 2021 | 1777 | 2021 |
| SL: Self-Supervised Semi-Supervised Learning X Zhai*, A Oliver*, A Kolesnikov*, L Beyer*, *equal contribution ICCV 2019, 2019 | 1215* | 2019 |
| Pali: A jointly-scaled multilingual language-image model X Chen, X Wang, S Changpinyo, AJ Piergiovanni, P Padlewski, D Salz, ... ICLR 2023, 2022 | 1014 | 2022 |
| Revisiting Self-Supervised Visual Representation Learning A Kolesnikov*, X Zhai*, L Beyer*, *equal contribution CVPR 2019, 2019 | 993 | 2019 |
| How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers A Steiner*, A Kolesnikov*, X Zhai*, R Wightman, J Uszkoreit, L Beyer*, ... TMLR, 2021 | 940 | 2021 |
| Gemma 3 technical report G Team, A Kamath, J Ferret, S Pathak, N Vieillard, R Merhej, S Perrin, ... arXiv preprint arXiv:2503.19786, 2025 | 899 | 2025 |
| Scaling vision transformers to 22 billion parameters M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ... International Conference on Machine Learning, 7480-7512, 2023 | 884 | 2023 |
| LiT: Zero-Shot Transfer with Locked-image Text Tuning X Zhai*+, X Wang*, B Mustafa*, A Steiner*, D Keysers, A Kolesnikov, ... CVPR 2022, 2021 | 782 | 2021 |
| A large-scale study of representation learning with the visual task adaptation benchmark X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ... arXiv preprint arXiv:1910.04867, 2019 | 612* | 2019 |
| Are we done with ImageNet? L Beyer*, OJ Hénaff*, A Kolesnikov*, X Zhai*, A Oord*, *equal contribution arXiv preprint arXiv:2006.07159, 2020 | 534 | 2020 |
| PaliGemma: A versatile 3B VLM for transfer L Beyer, A Steiner, AS Pinto, A Kolesnikov, X Wang, D Salz, M Neumann, ... arXiv preprint arXiv:2407.07726, 2024 | 506 | 2024 |
| Knowledge distillation: A good teacher is patient and consistent L Beyer*, X Zhai*, A Royer, L Markeeva, R Anil, A Kolesnikov*, ... CVPR 2022, 2021 | 457 | 2021 |
| SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features M Tschannen, A Gritsenko, X Wang, MF Naeem, I Alabdulmohsin, ... arXiv preprint arXiv:2502.14786, 2025 | 396 | 2025 |
| SPENCER: A Socially Aware Service Robot for Passenger Guidance and Help in Busy Airports L Palmieri, U Rafi, M van Rooij, B Okal, M Magnusson, T Linder, M Lohse, ... Proceedings of the 10th Conference on Field and Service Robotics, FSR 2015 …, 2015 | 365* | 2015 |
| Kubric: A scalable dataset generator K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ... CVPR 2022, 3749-3761, 2022 | 363 | 2022 |
Xiaohua ZhaiMeta, OpenAI, Google DeepMindVerified email at google.com
