Computer Vision and Pattern Discovery - GIU 19/027
Thèses dirigées (9) Thèses dirigées par des membres du groupe
2023
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Contribution to Graph-based Semi-supervised Learning: Joint Label and Latent Space Estimation
JAMAL BARADAAJI, ABDULLAH
Dirigée par FADI DORNAIKA -
Data-centric Design and Training of Deep Neural Networks with Multiple Data Modalities for Vision-based Perception Systems
ARANJUELO ANSA, NEREA
Dirigée par IGNACIO ARGANDA CARRERAS -
Optimizing deep neural network deployment for intelligent security video analytics
ELORDI HIDALGO, UNAI
Dirigée par IGNACIO ARGANDA CARRERAS
2022
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Contribution to graph-based multi-view clustering: algorithms and applications
EL HAJJAR, SALLY
Dirigée par FADI DORNAIKA
2021
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Contribution to supervised representation learning: algorithms and applications
Ahmad, Khoder
Dirigée par FADI DORNAIKA y ABDELMALIK MOUJAHID MOUJAHID
2020
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Contribution to graph-based manifold learning with application to image categorization
ZHU, Ruifeng
Dirigée par FADI DORNAIKA, IGNACIO ARGANDA CARRERAS, ALICIA EMILIA D 'ANJOU D 'ANJOU y ALEJANDRO GARCIA ALONSO MONTOYA -
Computationally efficient deformable 3D object tracking with a monocular RGB camera
Goenetxea Imaz, Jon
Dirigée par FADI DORNAIKA, IGNACIO ARGANDA CARRERAS y BLANCA ROSA CASES GUTIERREZ
2017
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Detecting, counting and sizing bluefin tuna schools using medium range sonars of baitboats in the bay of biscay
URANGA AIZPURUA, JON
Dirigée par MARIA DEL CARMEN HERNANDEZ GOMEZ
2012
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Contributions to hyperspectral image processing from lattice computing and computational intelligence
VEGANZONES BODON, MIGUEL ANGEL
Dirigée par MARIA DEL CARMEN HERNANDEZ GOMEZ y MANUEL MARIA GRAÑA ROMAY