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Juliano Pinto
Juliano Pinto
PhD student, Chalmers University of Technology
Adresse e-mail validée de chalmers.se
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Classmix: Segmentation-based data augmentation for semi-supervised learning
V Olsson, W Tranheden, J Pinto, L Svensson
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021
4092021
Dacs: Domain adaptation via cross-domain mixed sampling
W Tranheden, V Olsson, J Pinto, L Svensson
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021
3972021
Next generation multitarget trackers: Random finite set methods vs transformer-based deep learning
J Pinto, G Hess, W Ljungbergh, Y Xia, L Svensson, H Wymeersch
2021 IEEE 24th International Conference on Information Fusion (FUSION), 1-8, 2021
272021
An uncertainty-aware performance measure for multi-object tracking
J Pinto, Y Xia, L Svensson, H Wymeersch
IEEE Signal Processing Letters 28, 1689-1693, 2021
182021
Can deep learning be applied to model-based multi-object tracking?
J Pinto, G Hess, W Ljungbergh, Y Xia, H Wymeersch, L Svensson
arXiv preprint arXiv:2202.07909, 2022
152022
Deep Learning for Model-Based Multiobject Tracking
J Pinto, G Hess, W Ljungbergh, Y Xia, H Wymeersch, L Svensson
IEEE Transactions on Aerospace and Electronic Systems 59 (6), 7363-7379, 2023
102023
Masknet: An instance segmentation algorithm
J Pinto
Dept of Signals and Systems, Chalmers University of Technology, Sweden, 2017
62017
Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing
J Pinto, G Hess, Y Xia, H Wymeersch, L Svensson
arXiv preprint arXiv:2312.17261, 2023
42023
Bayesian linear regression on deep representations
J Moberg, L Svensson, J Pinto, H Wymeersch
arXiv preprint arXiv:1912.06760, 2019
42019
Masknet: An instance segmentation algorithm-Leveraging object detection and semantic segmentation to tackle instance segmentation
J Pinto
2017
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