Juliano Pinto

According to our database, Juliano Pinto authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deep Learning for Model-Based Multiobject Tracking.

Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Henk Wymeersch, Lennart Svensson

IEEE Trans. Aerosp. Electron. Syst., December, 2023

Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing.

Juliano Pinto, Georg Hess, Yuxuan Xia, Henk Wymeersch, Lennart Svensson

CoRR, 2023

2022

Can Deep Learning be Applied to Model-Based Multi-Object Tracking?

Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Henk Wymeersch, Lennart Svensson

CoRR, 2022

2021

An Uncertainty-Aware Performance Measure for Multi-Object Tracking.

Juliano Pinto, Yuxuan Xia, Lennart Svensson, Henk Wymeersch

IEEE Signal Process. Lett., 2021

DACS: Domain Adaptation via Cross-domain Mixed Sampling.

Wilhelm Tranheden, Viktor Olsson, Juliano Pinto, Lennart Svensson

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

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

Viktor Olsson, Wilhelm Tranheden, Juliano Pinto, Lennart Svensson

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

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

Juliano Pinto, Georg Hess, William Ljungbergh, Yuxuan Xia, Lennart Svensson, Henk Wymeersch

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2019

Bayesian Linear Regression on Deep Representations.

John Moberg, Lennart Svensson, Juliano Pinto, Henk Wymeersch

CoRR, 2019