Bayesian Linear Regression on Deep Representations. - John Moberg; Lennart Svensson; Juliano Pinto; Henk Wymeersch (CoRR, 2019)

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 (FUSION, 2021)

ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning. - Viktor Olsson; Wilhelm Tranheden; Juliano Pinto; Lennart Svensson (WACV, 2021)

DACS: Domain Adaptation via Cross-domain Mixed Sampling. - Wilhelm Tranheden; Viktor Olsson; Juliano Pinto; Lennart Svensson (WACV, 2021)

An Uncertainty-Aware Performance Measure for Multi-Object Tracking. - Juliano Pinto; Yuxuan Xia; Lennart Svensson; Henk Wymeersch (IEEE Signal Process. Lett., 2021)

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)

Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing. - Juliano Pinto; Georg Hess; Yuxuan Xia; Henk Wymeersch; Lennart Svensson (CoRR, 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., 2023)