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Santiago VELASCO-FORERO

Portrait of Velasco 

Ph.D.
Permanent Researcher (Chargé de recherche)
Centre for Mathematical Morphology
MINES ParisTech
PSL Research University
France

I joined the Center for Mathematical Morphology of MINES ParisTech in October 2014. I have worked as a post-doc researcher at ITWM, which is part of the Fraunhofer Institute in Germany, and in the National University of Singapore (NUS).

News

  • (28-10-2021) Ph.D. thesis defense of David Duque -> 3D urban scene understanding by analysis of LiDAR, color and hyperspectral data.

  • (25-09-2021) Course on Anomaly detection in the Colombian Symposium on Statistics 2021.

  • (25-06-2021) New Journal Paper on Learnable Empirical Mode Decomposition based on Mathematical Morphology has been accpeted for publication in the SIAM Journal on Imaging Sciences.

  • (01-05-2021) Ayoub Rhim from Ecole des Pons ParisTech is now a master intern in a PGMO Projet in collaboration with J. Angulo

  • (01-04-2021) Josselin Lefevre from ESSIE Paris is now a master intern in collaboration with S. Blusseau and Safran Aircraft Engines.

  • (23-03-2021) Ph.D. Thesis defense of Leonardo Gigli -> Contributions to graph-based hierarchical analysis for images and 3D point clouds

  • (05-03-2021) Two accepted conferences paper in the DGMM 2021

  • (01-03-2021) Accepted paper on the 2021 IEEE ICASSP. NNAKF: A neural network adapted Kalman filter for target tracking.

  • (01-03-2021) A new conference publication on modified Jaccard loss for semantic segmentation in VISAPP 2021. PDF

  • (29-07-2020) SHREC 2020 Track: 3D Point Cloud Semantic Segmentation for Street Scenes has been accepted to Computers and Graphics Journal

  • (29-07-2020) SHREC’20 track: Retrieval of digital surfaces with similar geometric reliefs has been accepted to Computers and Graphics Journal

  • (27-07-2020) Approximating morphological operators with part-based representations learned by asymmetric auto-encoders has been accepted for publication in Mathematical Morphology: Theory and Applications.

  • (01-07-2020) On minimum spanning tree streaming for hierarchical segmentation has been accepted in Pattern Recognition Letters.

  • (01-06-2020) From unsupervised to semi-supervised anomaly detection methods for High Resolution Range Profiles has been accepted on the IEEE Radar Conference 2020

  • (01-05-2020) Road segmentation on low resolution lidar point clouds for autonomous vehicles is an accepted paper on the ISPRS2020

  • (01-05-2020) Romain Pagès from École Centrale de Lyon is intern in a PGMO Projet in collaboration with J. Angulo

  • (01-01-2020) Journal paper on Morphological Hierarchical Image characterization has been published in Pattern Recognition Letters

  • (30-10-2019) Journal paper on Prior-based Hierarchical Segmentation in Mathematical Morphology: Theory and Applications

  • (10-07-2019) The first results in D.Duque's thesis will be presented at the ICIAP Conference.

  • (10-07-2019) Award: Co-author of the ISMM 2019 Best Student Paper Award to Bastien Ponchon for Part-based approximations for morphological operators using asymmetric auto-encoders.

  • (05-06-2019) A journal paper has been accepted for publication in the Astronomy & Astrophysics journal.

  • (05-06-2019) Invited to talk at the internal seminar in the CMLA ENS Cachan, France.

  • (01-06-2019) Oral talk at the ICSIA-2019 in Aarhus, Denmark.

  • (15-03-2019) Two accepted conference papers in the ISMM 2019.

  • (15-03-2019) Zyad Haddad from ESIEE is an intern in collaboration with S. Blusseau on Deep Learning for Material Science.

  • (15-02-2019) Tristan Lazard from ENS/University PSL is an intern in collaboration with S. Blusseau, and E. Decenciere.

  • (12-01-2019) A collaborative work with L'Oréal R&I has be accepted in IEEE ISBI 2019.

  • (06-11-2018) Invited plenary talk at Colombian First Meeting on Applied Mathematics

  • (10-10-2018) A journal paper has been accepted for publication in the Journal of Sensors. This is part of a collaborative work with Rioja University.

  • (06-10-2018) Three accepted papers in the IEEE International Conference on Image Processing 2018

  • (06-10-2018) A collaborative work with L'Oréal R&I has be accepted in the ACIVS 2018 conference.

  • (26-07-2018) Invited professor in the National University of Colombia (Department of Statistics).

  • (25-05-2018) (14h30 L213 60 Boulevard Saint-Michel, 75006, Paris) A. Fehri's thesis defense.

  • (01-04-2018) Dr. Ulrike Kuchner from University of Viena is now a postdoc researcher at CMM working on applications of Deep Learning for Astronomy.

Contact

  • velasco at cmm dot ensmp dot fr

  • Office telephone: (+33) 1 64 69 47 06

  • Office: B-205 (Directions)

Research interests

I am interested in collaborating with mathematicians, statisticians, scientists and engineers on diverse projects including:

  • Image Processing

  • Pattern recognition

  • Multivariate Statistics

  • Graph Signal Processing

  • Artificial Intelligence / Deep Learning

Teaching

  • (2020-2021) Deep Learning for Image Analysis (MINES/ Master IASD - LAMSADE)

  • (2018-2019) Deep Learning for Image Analysis (MINES / ATHENS )

  • (2018) Introduction of Big Data and Applications

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