Rida Lali, “Semantic and Goal-Oriented Wireless Communications”, started: October 2023, co-supervised with Antoine Berthet and Marco Di Renzo
Erik Mamet, « Deep learning-based compression of dynamic 3D point clouds », started: October 2024, co-supervised with Stéphane Coulombe (ETS, Montreal, CA)
Graduated
Rodrigo Borba-Pinheiro, “3D Point Cloud Compression using Deep Neural Networks”, started: Nov. 2021, co-supervised with Jean-Eudes Marvie (InterDigital) and Frédéric Dufaux
Melan Vijayaratnam, “Temporal extrapolation for ZL video transmission”, started: Apr. 2021, co-supervised with Marco Cagnazzo (University of Padova) and Enzo Tartaglione (Telecom Paris)
Goluck Konuko, “DIVINE: Deep generative compression for low bitrate video conferencing”, started: Oct. 2021, co-supervised with Stéphane Lathuilière (Telecom Paris)
Marouane Tliba, “Evaluation of the perceptual quality of 3D point clouds by deep learning”, started: Dec. 2021, co-supervised with Aladine Chetouani (University of Orléans) and Frédéric Dufaux
Maurice Quach, “Coding and quality evaluation of point cloud video”, defended on July 6, 2022, co-supervised with Frédéric Dufaux
Milan Stepanov, “View extraction and coding for light field imaging”, defended on July 4, 2022, co-supervised with Frédéric Dufaux
Chen Kang, “Aesthetic image quality assessment using deep learning”, defended on Dec. 14, 2020, co-supervised with Frédéric Dufaux
Aakanksha Rana, “High dynamic range image analysis”, defended on March 15, 2018, co-supervised with Frédéric Dufaux
Emin Zerman, “Assessment and analysis of high dynamic range video quality”, defended on Jan. 19, 2018, co-supervised with Frédéric Dufaux
Maxim Karpushin, “Local features for RGBD image matching under viewpoint changes”, defended on Nov. 3, 2016, best thesis award of the Mines-Telecom Foundation, co-supervised with Frédéric Dufaux
Paul Lauga, “High Dynamic Range (HDR) representations for Digital Video”, defended on Dec. 3, 2015, co-supervised with Frédéric Dufaux
