Juliano Pinto

Doctoral Student at Signal Processing

Juliano Laganá Pinto is a PhD student in Signal processing working with deep learning in the COPPLAR project.

Source: chalmers.se
Image of Juliano Pinto

Showing 4 publications

2021

ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning

Viktor Olsson, Wilhelm Tranheden, Lennart Svensson et al
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Paper in proceeding
2021

DACS: Domain adaptation via cross-domain mixed sampling

Wilhelm Tranheden, Viktor Olsson, Juliano Pinto et al
Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021, p. 1378-1388
Paper in proceeding
2021

An Uncertainty-Aware Performance Measure for Multi-Object Tracking

Juliano Pinto, Yuxuan Xia, Lennart Svensson et al
IEEE Signal Processing Letters. Vol. 28, p. 1689-1693
Journal article
2019

Bayesian Linear Regression on Deep Representations

John Moberg, Lennart Svensson, Juliano Pinto et al
Advances in Neural Information Processing Systems 32
Paper in proceeding

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Showing 1 research projects

2021–2023

6G Artificial Intelligence Radar

Henk Wymeersch Communication Systems
Christian Häger Communication Systems
Juliano Pinto Signal Processing
Lennart Svensson Signal Processing
Furkan Keskin Communication Systems
Jinxiang Song Communication Systems
Yibo Wu Communication Systems
Chalmers AI Research Centre

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