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ORCIDXiao Wang 0038
Person information
- affiliation: Google Brain, Zurich, Switzerland
Other persons with the same name
- Xiao Wang — disambiguation page
- Xiao Wang 0001 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 2 more)
- Xiao Wang 0002
![[0000-0002-0008-0659]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0008-0659")
— Anhui University, School of Artificial Intelligence, Qingdao Academy of Intelligent Industries, Hefei, China (and 1 more) - Xiao Wang 0003 — Huazhong University of Science and Technology, Wuhan, China
- Xiao Wang 0004 — Oak Ridge National Laboratory, Tennessee, USA (and 1 more)
- Xiao Wang 0005 — Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China (and 1 more)
- Xiao Wang 0006 — University of Houston, National Center of Airborne Laser Mapping, TX, USA
- Xiao Wang 0007 — Xi'an Jiaotong University, Systems Engineering Institute, China
- Xiao Wang 0008 — Beijing Institute of Petrochemical Technology, School of Economics and Management, China (and 2 more)
- Xiao Wang 0009 — Zhengzhou University of Light Industry, School of Computer and Communication Engineering, China (and 1 more)
- Xiao Wang 0010 — Henan University, School of Mathematics and Statistics, China
- Xiao Wang 0011 — Peng Cheng Laboratory, Department of AI Computing, Shenzhen, China. (and 1 more)
- Xiao Wang 0012 (aka: Xiao Shaun Wang) — Northwestern University, Department of Computer Science, Evanston, IL, USA (and 3 more)
- Xiao Wang 0013 — Xi'an Jiaotong University, Department of Computer Science and Technology, China
- Xiao Wang 0014 — Peng Cheng Laboratory, Shenzhen, China (and 1 more)
- Xiao Wang 0015 — University of Electronic Science and Technology of China, School of Life Science and Technology, Chengdu, China
- Xiao Wang 0016 — Nanjing University of Aeronautics and Astronautics, Department of Biomedical Engineering, China
- Xiao Wang 0017 — Beijing University of Posts and Telecommunications, School of Computer Science, China (and 2 more)
- Xiao Wang 0018 — Renren Inc., Beijing, China (and 1 more)
- Xiao Wang 0019 — Xi'an Jiaotong University, IAIR, China
- Xiao Wang 0020 — Fudan University, MoE Key Laboratory for Information Science of Electromagnetic Waves, Shanghai, China
- Xiao Wang 0021 — Tsinghua University, Institute of Microelectronics, Beijing, China
- Xiao Wang 0022 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Xiao Wang 0023 — Shanghai Universityn School of Computer Engineering and Science, China
- Xiao Wang 0024 — TU Dresden, Institut für Kartographie, Germany
- Xiao Wang 0025 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, China
- Xiao Wang 0026 — Chongqing University of Technology, MoE Key Laboratory of Advanced Manufacturing Techniques for Automobile Parts, China
- Xiao Wang 0027 — Chongqing University, State Key Laboratory of Mechanical Transmissions, School of Automotive Engineering, China
- Xiao Wang 0028 — Boston University, MA, USA
- Xiao Wang 0029 — Wuhan University of Science and Technology, China (and 2 more)
- Xiao Wang 0030 — Stevens Institute of Technology, School of Systems and Enterprises, Hoboken, NJ, USA
- Xiao Wang 0031 — Virginia Polytechnic Institute and State University, Department of Electrical and Computer Engineering, Arlington, VA, USA
- Xiao Wang 0032 — University of Wisconsin-Madison, Madison, WI, USA
- Xiao Wang 0033 — Peking University, College of Chemistry and Molecular Engineering, Beijing, China
- Xiao Wang 0034 — Beihang University, School of Astronautics, Beijing, China
- Xiao Wang 0035 — Arizona State University, School of Biological and Health Systems Engineering, Tempe, AZ, USA (and 1 more)
- Xiao Wang 0036 — Singapore University of Technology and Design, Singapore
- Xiao Wang 0037 — International Center for Advanced Internet Research, Northwestern University, Chicago, IL, USA
- Xiao Wang 0039 — University of Essex, Colchester, UK
- Xiao Wang 0040 — Carnegie Mellon University, USA
- Xiao Wang 0041 — National University of Defense Technology, Department of Mathematics, Changsha, China
- Xiao Wang 0042 — Fudan University, School of Computer Science, Shanghai, China
- Xiao Wang 0043 — University of Glasgow, UK
- Xiao Wang 0044 — University of Washington, USA
- Xiao Wang 0045 — Purdue University, Department of Statistics, West Lafayette, IN, USA (and 2 more)
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2020 – today
- 2025
[i17]Xiao Wang, Ibrahim Alabdulmohsin, Daniel Salz, Zhe Li, Keran Rong, Xiaohua Zhai:
Scaling Pre-training to One Hundred Billion Data for Vision Language Models. CoRR abs/2502.07617 (2025)- [i16]Michael Tschannen, Alexey A. Gritsenko, Xiao Wang, Muhammad Ferjad Naeem, Ibrahim Alabdulmohsin, Nikhil Parthasarathy, Talfan Evans, Lucas Beyer, Ye Xia, Basil Mustafa, Olivier J. Hénaff, Jeremiah Harmsen, Andreas Steiner, Xiaohua Zhai:
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features. CoRR abs/2502.14786 (2025) - [i15]Brian Gordon, Yonatan Bitton, Andreea Marzoca, Yasumasa Onoe, Xiao Wang, Daniel Cohen-Or, Idan Szpektor:
Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline. CoRR abs/2506.07631 (2025) - 2024
- [c10]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:
On Scaling Up a Multilingual Vision and Language Model. CVPR 2024: 14432-14444 - [c9]Ibrahim Alabdulmohsin, Xiao Wang, Andreas Peter Steiner, Priya Goyal, Alexander D'Amour, Xiaohua Zhai:
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? ICLR 2024 - [c8]Angéline Pouget, Lucas Beyer, Emanuele Bugliarello, Xiao Wang, Andreas Steiner, Xiaohua Zhai, Ibrahim M. Alabdulmohsin:
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models. NeurIPS 2024 - [c7]Bo Wan, Michael Tschannen, Yongqin Xian, Filip Pavetic, Ibrahim M. Alabdulmohsin, Xiao Wang, André Susano Pinto, Andreas Steiner, Lucas Beyer, Xiaohua Zhai:
LocCa: Visual Pretraining with Location-aware Captioners. NeurIPS 2024 - [i14]Ibrahim Alabdulmohsin, Xiao Wang, Andreas Steiner, Priya Goyal, Alexander D'Amour, Xiaohua Zhai:
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? CoRR abs/2403.04547 (2024) - [i13]Bo Wan, Michael Tschannen, Yongqin Xian, Filip Pavetic, Ibrahim Alabdulmohsin, Xiao Wang, André Susano Pinto, Andreas Steiner, Lucas Beyer, Xiaohua Zhai:
LocCa: Visual Pretraining with Location-aware Captioners. CoRR abs/2403.19596 (2024) - [i12]Angéline Pouget, Lucas Beyer, Emanuele Bugliarello, Xiao Wang, Andreas Peter Steiner, Xiaohua Zhai, Ibrahim Alabdulmohsin:
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models. CoRR abs/2405.13777 (2024) - [i11]Lucas Beyer, Andreas Steiner, André Susano Pinto, Alexander Kolesnikov, Xiao Wang, Daniel Salz, Maxim Neumann, Ibrahim Alabdulmohsin, Michael Tschannen, Emanuele Bugliarello, Thomas Unterthiner, Daniel Keysers, Skanda Koppula, Fangyu Liu, Adam Grycner, Alexey A. Gritsenko, Neil Houlsby, Manoj Kumar, Keran Rong, Julian Eisenschlos, Rishabh Kabra, Matthias Bauer, Matko Bosnjak, Xi Chen, Matthias Minderer, Paul Voigtlaender, Ioana Bica, Ivana Balazevic, Joan Puigcerver, Pinelopi Papalampidi, Olivier J. Hénaff, Xi Xiong, Radu Soricut, Jeremiah Harmsen, Xiaohua Zhai:
PaliGemma: A versatile 3B VLM for transfer. CoRR abs/2407.07726 (2024) - [i10]Andreas Steiner, André Susano Pinto, Michael Tschannen, Daniel Keysers, Xiao Wang, Yonatan Bitton, Alexey A. Gritsenko, Matthias Minderer, Anthony Sherbondy, Shangbang Long, Siyang Qin, R. Reeve Ingle, Emanuele Bugliarello, Sahar Kazemzadeh, Thomas Mesnard, Ibrahim Alabdulmohsin, Lucas Beyer, Xiaohua Zhai:
PaliGemma 2: A Family of Versatile VLMs for Transfer. CoRR abs/2412.03555 (2024) - 2023
- [c6]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:
PaLI: A Jointly-Scaled Multilingual Language-Image Model. ICLR 2023 - [c5]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:
Scaling Vision Transformers to 22 Billion Parameters. ICML 2023: 7480-7512 - [c4]Jannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou:
Three Towers: Flexible Contrastive Learning with Pretrained Image Models. NeurIPS 2023 - [i9]Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin F. Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Patrick 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 Harmsen, Neil Houlsby:
Scaling Vision Transformers to 22 Billion Parameters. CoRR abs/2302.05442 (2023) - [i8]Lucas Beyer, Bo Wan, Gagan Madan, Filip Pavetic, Andreas Steiner, Alexander Kolesnikov, André Susano Pinto, Emanuele Bugliarello, Xiao Wang, Qihang Yu, Liang-Chieh Chen, Xiaohua Zhai:
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision. CoRR abs/2303.17376 (2023) - [i7]Jannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou:
Three Towers: Flexible Contrastive Learning with Pretrained Image Models. CoRR abs/2305.16999 (2023) - [i6]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:
PaLI-X: On Scaling up a Multilingual Vision and Language Model. CoRR abs/2305.18565 (2023) - [i5]Xi Chen, Xiao Wang, Lucas Beyer, Alexander Kolesnikov, Jialin Wu, Paul Voigtlaender, Basil Mustafa, Sebastian Goodman, Ibrahim Alabdulmohsin, Piotr Padlewski, Daniel Salz, Xi Xiong, Daniel Vlasic, Filip Pavetic, Keran Rong, Tianli Yu, Daniel Keysers, Xiaohua Zhai, Radu Soricut:
PaLI-3 Vision Language Models: Smaller, Faster, Stronger. CoRR abs/2310.09199 (2023) - 2022
- [c3]Xiaohua Zhai, Xiao Wang, Basil Mustafa, Andreas Steiner, Daniel Keysers, Alexander Kolesnikov, Lucas Beyer:
LiT: Zero-Shot Transfer with Locked-image text Tuning. CVPR 2022: 18102-18112 - [c2]Matthias Minderer, Alexey A. Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby:
Simple Open-Vocabulary Object Detection. ECCV (10) 2022: 728-755 - [i4]Matthias Minderer, Alexey A. Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby:
Simple Open-Vocabulary Object Detection with Vision Transformers. CoRR abs/2205.06230 (2022) - [i3]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, Mojtaba Seyedhosseini, Chao Jia, Burcu Karagol Ayan, Carlos Riquelme, Andreas Steiner, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut:
PaLI: A Jointly-Scaled Multilingual Language-Image Model. CoRR abs/2209.06794 (2022) - 2021
- [i2]Xiaohua Zhai, Xiao Wang, Basil Mustafa, Andreas Steiner, Daniel Keysers, Alexander Kolesnikov, Lucas Beyer:
LiT: Zero-Shot Transfer with Locked-image Text Tuning. CoRR abs/2111.07991 (2021) - 2020
- [c1]Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet:
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data. ICLR 2020
2010 – 2019
- 2019
- [i1]Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet:
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data. CoRR abs/1912.09713 (2019)
Coauthor Index
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