Alexander Kolesnikov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
39
Venues
12
Active years
2002–2025
Best venue rank
A*
Where they publish
Papers
39 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | JetFormer: An autoregressive generative model of raw images and text. | Michael Tschannen, Andr Susano Pinto, Alexander Kolesnikov |
| 2024 | CVPR | On 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 |
| 2023 | CVPR | FlexiViT: 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 |
| 2023 | ICCV | Sigmoid Loss for Language Image Pre-Training. | Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer |
| 2023 | ICLR | PaLI: 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 |
| 2023 | ICML | Scaling 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 |
| 2023 | ICML | Tuning Computer Vision Models With Task Rewards. | Andr Susano Pinto, Alexander Kolesnikov, Yuge Shi, Lucas Beyer, Xiaohua Zhai |
| 2022 | CVPR | Knowledge distillation: A good teacher is patient and consistent. | Lucas Beyer, Xiaohua Zhai, Amlie Royer, Larisa Markeeva, Rohan Anil, Alexander Kolesnikov |
| 2022 | CVPR | Scaling Vision Transformers. | Xiaohua Zhai, Alexander Kolesnikov, Neil Houlsby, Lucas Beyer |
| 2022 | CVPR | LiT: Zero-Shot Transfer with Locked-image text Tuning. | Xiaohua Zhai, Xiao Wang, Basil Mustafa, Andreas Steiner, Daniel Keysers, Alexander Kolesnikov, Lucas Beyer |
| 2021 | CVPR | On 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 |
| 2021 | ICLR | An 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 |
| 2020 | ECCV | Big Transfer (BiT): General Visual Representation Learning. | Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby |
| 2019 | CVPR | Revisiting Self-Supervised Visual Representation Learning. | Alexander Kolesnikov, Xiaohua Zhai, Lucas Beyer |
| 2019 | ICCV | S4L: Self-Supervised Semi-Supervised Learning. | Lucas Beyer, Xiaohua Zhai, Avital Oliver, Alexander Kolesnikov |
| 2017 | BMVC | Probabilistic Image Colorization. | Amelie Royer, Alexander Kolesnikov, Christoph H. Lampert |
| 2017 | CVPR | iCaRL: Incremental Classifier and Representation Learning. | Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, Christoph H. Lampert |
| 2017 | ICML | PixelCNN Models with Auxiliary Variables for Natural Image Modeling. | Alexander Kolesnikov, Christoph H. Lampert |
| 2016 | BMVC | Improving Weakly-Supervised Object Localization By Micro-Annotation. | Alexander Kolesnikov, Christoph H. Lampert |
| 2016 | ECCV | Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation. | Alexander Kolesnikov, Christoph H. Lampert |
| 2014 | ECCV | Closed-Form Approximate CRF Training for Scalable Image Segmentation. | Alexander Kolesnikov, Matthieu Guillaumin, Vittorio Ferrari, Christoph H. Lampert |
| 2012 | CIKM | Predicting CTR of new ads via click prediction. | Alexander Kolesnikov, Yury Logachev, Valeriy A. Topinskiy |
| 2011 | ICIP | Nonparametric polygonal and multimodel approximation of digital curves with Rate-Distortion curve modeling. | Alexander Kolesnikov |
| 2011 | MDM | Efficient Online Algorithms for the Polygonal Approximation of Trajectory Data. | Alexander Kolesnikov |
| 2010 | ICIP | Fast algorithm for error-bounded compression of digital curves. | Alexander Kolesnikov |
| 2010 | ICIP | Approximation of digitized curves with cubic Bzier splines. | Alexander Kolesnikov |
| 2009 | ICIP | Minimum Description Length approximation of digital curves. | Alexander Kolesnikov |
| 2008 | ICIP | Fast algorithm for ISE-bounded polygonal approximation. | Alexander Kolesnikov |
| 2008 | ICPR | An online polygonal approximation of digital signals and curves with Dynamic Programming algorithm. | Alexander Kolesnikov |
| 2008 | ICPR | Constrained piecewise linear approximation of digital curves. | Alexander Kolesnikov |
| 2007 | SAC | Distortion-constrained compression of vector maps. | Alexander Kolesnikov, Alexander Akimov |
| 2006 | DCC | Lossless Compression of Color Map Images by Context Tree Modeling. | Alexander Akimov, Alexander Kolesnikov, Pasi Frnti |
| 2005 | ICIP | Optimal algorithm for convexity measure calculation. | Alexander Kolesnikov, Pasi Frnti |
| 2005 | ICIP | Min-polygonal approximation of closed curves. | Alexander Kolesnikov, Pasi Frnti |
| 2004 | ICIP | Reference line approach for vector data compression. | Alexander Akimov, Alexander Kolesnikov, Pasi Frnti |
| 2004 | ICIP | Optimal multiresolution polygonal approximation. | Alexander Kolesnikov, Pasi Frnti |
| 2004 | ICPR | Multiresolution Polygonal Approximation of Digital Curves. | Alexander Kolesnikov, Pasi Frnti, Xiaolin Wu |
| 2003 | ICIP | Fast algorithm for multiple-objects min-ε problem. | Alexander Kolesnikov, Pasi Frnti |
| 2002 | ICPR | A Fast Near-Optimal Algorithm for Approximation of Polygonal Curves. | Alexander Kolesnikov, Pasi Frnti |