Skip to content

Lucas Beyer

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

20

Venues

7

Active years

2013–2024

Best venue rank

A*

Where they publish

Papers

20 indexed papers, newest first.

YearVenueTitleAuthors
2024CVPROn Scaling Up a Multilingual Vision and Language Model.Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut
2023CVPRFlexiViT: One Model for All Patch Sizes.Lucas Beyer, Pavel Izmailov, Alexander Kolesnikov, Mathilde Caron, Simon Kornblith, Xiaohua Zhai, Matthias Minderer, Michael Tschannen, Ibrahim Alabdulmohsin, Filip Pavetic
2023ICCVSigmoid Loss for Language Image Pre-Training.Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer
2023ICLRPaLI: A Jointly-Scaled Multilingual Language-Image Model.Xi Chen, Xiao Wang, Soravit Changpinyo, A. J. Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish V. Thapliyal, James Bradbury, Weicheng Kuo
2023ICMLScaling Vision Transformers to 22 Billion Parameters.Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby
2023ICMLTuning Computer Vision Models With Task Rewards.Andr Susano Pinto, Alexander Kolesnikov, Yuge Shi, Lucas Beyer, Xiaohua Zhai
2022CVPRKnowledge distillation: A good teacher is patient and consistent.Lucas Beyer, Xiaohua Zhai, Amlie Royer, Larisa Markeeva, Rohan Anil, Alexander Kolesnikov
2022CVPRKubric: A scalable dataset generator.Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz ztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi
2022CVPRScaling Vision Transformers.Xiaohua Zhai, Alexander Kolesnikov, Neil Houlsby, Lucas Beyer
2022CVPRLiT: Zero-Shot Transfer with Locked-image text Tuning.Xiaohua Zhai, Xiao Wang, Basil Mustafa, Andreas Steiner, Daniel Keysers, Alexander Kolesnikov, Lucas Beyer
2022ECCVA Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation.Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou
2022ICLRThe Efficiency Misnomer.Mostafa Dehghani, Yi Tay, Anurag Arnab, Lucas Beyer, Ashish Vaswani
2021CVPROn Robustness and Transferability of Convolutional Neural Networks.Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvain Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic
2021ICLRAn Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby
2020ECCVBig Transfer (BiT): General Visual Representation Learning.Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby
2019CVPRRevisiting Self-Supervised Visual Representation Learning.Alexander Kolesnikov, Xiaohua Zhai, Lucas Beyer
2019ICCVS4L: Self-Supervised Semi-Supervised Learning.Lucas Beyer, Xiaohua Zhai, Avital Oliver, Alexander Kolesnikov
2018IROSDetection- Tracking for Efficient Person Analysis: The DetTA Pipeline.Stefan Breuers, Lucas Beyer, Umer Rafi, Bastian Leibe
2017CVPRTowards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters.Lucas Beyer, Stefan Breuers, Vitaly Kurin, Bastian Leibe
2013EuroParGWAS on GPUs: Streaming Data from HDD for Sustained Performance.Lucas Beyer, Paolo Bientinesi