| 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 | 5947 | 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 | 2508 | 2017 |
| Big Transfer (BiT): General Visual Representation Learning A Kolesnikov*, L Beyer*, X Zhai*, J Puigcerver, J Yung, S Gelly, ... ECCV 2020, 2019 | 605* | 2019 |
| Revisiting Self-Supervised Visual Representation Learning A Kolesnikov*, X Zhai*, L Beyer*, *equal contribution CVPR 2019, 2019 | 537 | 2019 |
| SL: Self-Supervised Semi-Supervised Learning X Zhai*, A Oliver*, A Kolesnikov*, L Beyer*, *equal contribution ICCV 2019, 2019 | 517* | 2019 |
| MLP-Mixer: An all-MLP architecture for vision I Tolstikhin*, N Houlsby*, A Kolesnikov*, L Beyer*, X Zhai, T Unterthiner, ... NeurIPS 2021, 2021 | 460 | 2021 |
| An image is worth 16x16 words: Transformers for image recognition at scale. arXiv 2020 A Dosovitskiy, L Beyer, A Kolesnikov, D Weissenborn, X Zhai, ... arXiv preprint arXiv:2010.11929, 2010 | 329 | 2010 |
| Scaling Vision Transformers X Zhai*, A Kolesnikov*, N Houlsby, L Beyer*, *equal contribution arXiv preprint arXiv:2106.04560, 2021 | 267* | 2021 |
| 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 | 249* | 2015 |
| The STRANDS project: Long-term autonomy in everyday environments N Hawes, C Burbridge, F Jovan, L Kunze, B Lacerda, L Mudrova, J Young, ... IEEE Robotics & Automation Magazine 24 (3), 146-156, 2017 | 184 | 2017 |
| 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 | 126* | 2019 |
| Are we done with ImageNet? L Beyer*, OJ Hénaff*, A Kolesnikov*, X Zhai*, A Oord*, *equal contribution arXiv preprint arXiv:2006.07159, 2020 | 113 | 2020 |
| How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers A Steiner*, A Kolesnikov*, X Zhai*, R Wightman, J Uszkoreit, L Beyer*, ... arXiv preprint arXiv:2106.10270, 2021 | 91 | 2021 |
| On Robustness and Transferability of Convolutional Neural Networks J Djolonga, J Yung, M Tschannen, R Romijnders, L Beyer, A Kolesnikov, ... CVPR 2021, 2020 | 57 | 2020 |
| Biternion Nets: Continuous Head Pose Regression from Discrete Training Labels L Beyer, A Hermans, B Leibe German Conference on Pattern Recognition, 157-168, 2015 | 51 | 2015 |
| The Atari Grand Challenge Dataset V Kurin, S Nowozin, K Hofmann, L Beyer, B Leibe arXiv preprint arXiv:1705.10998, 2017 | 44 | 2017 |
| DROW: Real-Time Deep Learning-Based Wheelchair Detection in 2-D Range Data L Beyer*, A Hermans*, B Leibe, *equal contribution IEEE Robotics and Automation Letters 2 (2), 585-592, 2017 | 34 | 2017 |
| Towards a Principled Integration of Multi-Camera Re-Identification and Tracking Through Optimal Bayes Filters L Beyer*, S Breuers*, V Kurin, B Leibe, *equal contribution Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 27 | 2017 |
| LiT: Zero-Shot Transfer with Locked-image Text Tuning X Zhai*+, X Wang*, B Mustafa*, A Steiner*, D Keysers, A Kolesnikov, ... arXiv preprint arXiv:2111.07991, 2021 | 23 | 2021 |
| Knowledge distillation: A good teacher is patient and consistent L Beyer*, X Zhai*, A Royer, L Markeeva, R Anil, A Kolesnikov*, ... arXiv preprint arXiv:2106.05237, 2021 | 23 | 2021 |
Xiaohua ZhaiGoogle BrainVerified email at google.com
