Measuring Compositional Generalization: A Comprehensive Method on Realistic Data. - Daniel Keysers; Nathanael Schärli; Nathan Scales; Hylke Buisman; Daniel Furrer; Sergii Kashubin; Nikola Momchev; Danila Sinopalnikov; Lukasz Stafiniak; Tibor Tihon; Dmitry Tsarkov; Xiao Wang 038; et al. (ICLR, 2020)

LiT: Zero-Shot Transfer with Locked-image text Tuning. - Xiaohua Zhai; Xiao Wang 038; Basil Mustafa; Andreas Steiner 001; Daniel Keysers; Alexander Kolesnikov 003; Lucas Beyer (CVPR, 2022)

Simple Open-Vocabulary Object Detection. - Matthias Minderer; Alexey A. Gritsenko; Austin Stone; Maxim Neumann; Dirk Weissenborn; Alexey Dosovitskiy; Aravindh Mahendran; Anurag Arnab; Mostafa Dehghani 001; Zhuoran Shen; Xiao Wang 038; Xiaohua Zhai; et al. (ECCV (10), 2022)

Simple Open-Vocabulary Object Detection with Vision Transformers. - Matthias Minderer; Alexey A. Gritsenko; Austin Stone; Maxim Neumann; Dirk Weissenborn; Alexey Dosovitskiy; Aravindh Mahendran; Anurag Arnab; Mostafa Dehghani 001; Zhuoran Shen; Xiao Wang 038; Xiaohua Zhai; et al. (CoRR, 2022)

PaLI: A Jointly-Scaled Multilingual Language-Image Model. - Xi Chen 071; Xiao Wang 038; Soravit Changpinyo; A. J. Piergiovanni; Piotr Padlewski; Daniel Salz; Sebastian Goodman; Adam Grycner; Basil Mustafa; Lucas Beyer; Alexander Kolesnikov 003; Joan Puigcerver; et al. (CoRR, 2022)

PaLI: A Jointly-Scaled Multilingual Language-Image Model. - Xi Chen 071; Xiao Wang 038; Soravit Changpinyo; A. J. Piergiovanni; Piotr Padlewski; Daniel Salz; Sebastian Goodman; Adam Grycner; Basil Mustafa; Lucas Beyer; Alexander Kolesnikov 003; Joan Puigcerver; et al. (ICLR, 2023)

Scaling Vision Transformers to 22 Billion Parameters. - Mostafa Dehghani 001; Josip Djolonga; Basil Mustafa; Piotr Padlewski; Jonathan Heek; Justin Gilmer; Andreas Peter Steiner; Mathilde Caron; Robert Geirhos; Ibrahim Alabdulmohsin; Rodolphe Jenatton; Lucas Beyer; et al. (ICML, 2023)

Three Towers: Flexible Contrastive Learning with Pretrained Image Models. - Jannik Kossen; Mark Collier; Basil Mustafa; Xiao Wang 038; Xiaohua Zhai; Lucas Beyer; Andreas Steiner 001; Jesse Berent; Rodolphe Jenatton; Effrosyni Kokiopoulou (NeurIPS, 2023)

A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision. - Lucas Beyer; Bo Wan; Gagan Madan; Filip Pavetic; Andreas Steiner 001; Alexander Kolesnikov 003; André Susano Pinto; Emanuele Bugliarello; Xiao Wang 038; Qihang Yu; Liang-Chieh Chen; Xiaohua Zhai (CoRR, 2023)

PaLI-X: On Scaling up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CoRR, 2023)

PaLI-3 Vision Language Models: Smaller, Faster, Stronger. - Xi Chen 071; Xiao Wang 038; Lucas Beyer; Alexander Kolesnikov 003; Jialin Wu; Paul Voigtlaender; Basil Mustafa; Sebastian Goodman; Ibrahim Alabdulmohsin; Piotr Padlewski; Daniel Salz; Xi Xiong; et al. (CoRR, 2023)

On Scaling Up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CVPR, 2024)

CLIP the Bias: How Useful is Balancing Data in Multimodal Learning? - Ibrahim Alabdulmohsin; Xiao Wang 038; Andreas Peter Steiner; Priya Goyal; Alexander D'Amour; Xiaohua Zhai (ICLR, 2024)

No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models. - Angéline Pouget; Lucas Beyer; Emanuele Bugliarello; Xiao Wang 038; Andreas Steiner 001; Xiaohua Zhai; Ibrahim M. Alabdulmohsin (NeurIPS, 2024)

LocCa: Visual Pretraining with Location-aware Captioners. - Bo Wan; Michael Tschannen; Yongqin Xian; Filip Pavetic; Ibrahim M. Alabdulmohsin; Xiao Wang 038; André Susano Pinto; Andreas Steiner 001; Lucas Beyer; Xiaohua Zhai (NeurIPS, 2024)

PaliGemma: A versatile 3B VLM for transfer. - Lucas Beyer; Andreas Steiner 001; André Susano Pinto; Alexander Kolesnikov 003; Xiao Wang 038; Daniel Salz; Maxim Neumann; Ibrahim Alabdulmohsin; Michael Tschannen; Emanuele Bugliarello; Thomas Unterthiner; Daniel Keysers; et al. (CoRR, 2024)

PaliGemma 2: A Family of Versatile VLMs for Transfer. - Andreas Steiner 001; André Susano Pinto; Michael Tschannen; Daniel Keysers; Xiao Wang 038; Yonatan Bitton; Alexey A. Gritsenko; Matthias Minderer; Anthony Sherbondy; Shangbang Long; Siyang Qin; R. Reeve Ingle; et al. (CoRR, 2024)

Scaling Pre-training to One Hundred Billion Data for Vision Language Models. - Xiao Wang 038; Ibrahim Alabdulmohsin; Daniel Salz; Zhe Li; Keran Rong; Xiaohua Zhai (CoRR, 2025)

SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features. - Michael Tschannen; Alexey A. Gritsenko; Xiao Wang 038; Muhammad Ferjad Naeem; Ibrahim Alabdulmohsin; Nikhil Parthasarathy; Talfan Evans; Lucas Beyer; Ye Xia; Basil Mustafa; Olivier J. Hénaff; Jeremiah Harmsen; et al. (CoRR, 2025)

Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline. - Brian Gordon; Yonatan Bitton; Andreea Marzoca; Yasumasa Onoe; Xiao Wang 038; Daniel Cohen-Or; Idan Szpektor (CoRR, 2025)