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
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Showing 5 publications


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

Viktor Olsson, Wilhelm Tranheden, Lennart Svensson et al
Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021
Paper in proceeding

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

Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning

Juliano Pinto, Georg Hess, William Ljungbergh et al
24th International Conference on Information Fusion, p. 1059-1066
Paper in proceeding

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

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


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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