Experience
Argo AI
Munich, Germany
2023 Feb - ongoing
Leading the development in LiDAR panoptic segmentation and occupancy detection models for autonomous vehicles.
Argo AI
Munich, Germany
2022 Jun - 2023 Jan
Developing LiDAR object detection and semantic segmentation models for autonomous vehicles.
Argo AI
Munich, Germany
2022 Feb - 2022 Apr
Developing LiDAR semantic and panoptic segmentation models for mapping.
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Técnico Lisboa, Universidade de Lisboa
Lisbon, Portugal
2017 Sep - 2018 Feb
Supported the lab component of the course.
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Bosch North America
Palo Alto, California, USA
2016 Aug - 2017 Mar
Model based object tracking with texture-less and highly reflective objects.
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European Space Agency
Noordwijk, South Holland, The Netherlands
2014 Apr - 2016 Mar
Multimedia communications. Augmented Reality.
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Lusospace
Lisbon, Portugal
2012 Nov - 2013 Aug
Sensor Fusion. Ego pose tracking. Augmented Reality.
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BIN - Buy It Now Lda.
Lisbon, Portugal
2011 Nov - 2012 Oct
Full stack web development.
Publications
Q. Zhou† , S. Agostinho† , A. Ošep , L. Leal-Taixé
† Equal contribution
European Conference on Computer Vision (ECCV)
2022 Oct - url
S. Agostinho , A. Ošep , A. Del-Bue , L. Leal-Taixé
International Conference on Computer Vision (ICCV)
2021 Oct - url
S. Agostinho , J. Gomes , A. Del-Bue
Journal of Mathematical Imaging and Vision
2022 Nov (Submitted May 2020) - url
D. Tedone , M. Marello , G. Musso , N. Frangakis , D. Oliveira , S. Agostinho , K. Helin
Advances in Human Factors and System Interactions: Proceedings of the AHFE 2016 International Conference on Human Factors and System Interactions / Springer International Publishing
2016 Jul - url
S. Agostinho , J. Gomes
Proceedings of the 22nd European Signal Processing Conference (EUSIPCO)
2014 Sep - url
Education
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Técnico Lisboa, Universidade de Lisboa
Lisbon, Portugal
2016 - Present
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Técnico Lisboa, Universidade de Lisboa
Lisbon, Portugal
2004 - 2013
Awards
Department of Electrical and Computer Engineering - Técnico Lisboa
2013 Sep
Organized Workshops
http://sergioagostinho.com/bootstrap-ml
An introductory session to Machine Learning aimed at first time users.