André Susano Pinto

According to our database, André Susano Pinto authored at least 14 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

LocCa: Visual Pretraining with Location-aware Captioners.

Bo Wan, Michael Tschannen, Yongqin Xian, Filip Pavetic, Ibrahim Alabdulmohsin, Xiao Wang, André Susano Pinto, Andreas Steiner, Lucas Beyer, Xiaohua Zhai

CoRR, 2024

2023

A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision.

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

CoRR, 2023

Tuning Computer Vision Models With Task Rewards.

André Susano Pinto, Alexander Kolesnikov, Yuge Shi, Lucas Beyer, Xiaohua Zhai

Proceedings of the International Conference on Machine Learning, 2023

2022

Learning to Merge Tokens in Vision Transformers.

Cédric Renggli, André Susano Pinto, Neil Houlsby, Basil Mustafa, Joan Puigcerver, Carlos Riquelme

CoRR, 2022

UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes.

Alexander Kolesnikov, André Susano Pinto, Lucas Beyer, Xiaohua Zhai, Jeremiah Harmsen, Neil Houlsby

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Which Model to Transfer? Finding the Needle in the Growing Haystack.

Cédric Renggli, André Susano Pinto, Luka Rimanic, Joan Puigcerver, Carlos Riquelme, Ce Zhang, Mario Lucic

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Scaling Vision with Sparse Mixture of Experts.

Carlos Riquelme, Joan Puigcerver, Basil Mustafa, Maxim Neumann, Rodolphe Jenatton, André Susano Pinto, Daniel Keysers, Neil Houlsby

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Scalable Transfer Learning with Expert Models.

Joan Puigcerver, Carlos Riquelme Ruiz, Basil Mustafa, Cédric Renggli, André Susano Pinto, Sylvain Gelly, Daniel Keysers, Neil Houlsby

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Deep Ensembles for Low-Data Transfer Learning.

Basil Mustafa, Carlos Riquelme, Joan Puigcerver, André Susano Pinto, Daniel Keysers, Neil Houlsby

CoRR, 2020

Training General Representations for Remote Sensing Using in-Domain Knowledge.

Maxim Neumann, André Susano Pinto, Xiaohua Zhai, Neil Houlsby

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

In-domain representation learning for remote sensing.

Maxim Neumann, André Susano Pinto, Xiaohua Zhai, Neil Houlsby

CoRR, 2019

The Visual Task Adaptation Benchmark.

Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov, Pierre Ruyssen, Carlos Riquelme, Mario Lucic, Josip Djolonga, André Susano Pinto, Maxim Neumann, Alexey Dosovitskiy, Lucas Beyer, Olivier Bachem, Michael Tschannen, Marcin Michalski, Olivier Bousquet, Sylvain Gelly, Neil Houlsby

CoRR, 2019

2011

Novelty Detection Using Graphical Models for Semantic Room Classification.

André Susano Pinto, Andrzej Pronobis, Luís Paulo Reis

Proceedings of the Progress in Artificial Intelligence, 2011

2010

Adaptive Collapsing on Bounding Volume Hierarchies for Ray-Tracing.

André Susano Pinto

Proceedings of the 31st Annual Conference of the European Association for Computer Graphics, 2010