Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression. - Maurice Quach; Giuseppe Valenzise; Frédéric Dufaux (ICIP, 2019)

Folding-Based Compression Of Point Cloud Attributes. - Maurice Quach; Giuseppe Valenzise; Frédéric Dufaux (ICIP, 2020)

Improved Deep Point Cloud Geometry Compression. - Maurice Quach; Giuseppe Valenzise; Frédéric Dufaux (MMSP, 2020)

Combination of Deep Learning-Based and Handcrafted Features for Blind Image Quality Assessment. - Aladine Chetouani; Maurice Quach; Giuseppe Valenzise; Frédéric Dufaux (EUVIP, 2021)

Learning-Based Lossless Compression of 3D Point Cloud Geometry. - Dat Thanh Nguyen; Maurice Quach; Giuseppe Valenzise; Pierre Duhamel (ICASSP, 2021)

Deep Learning-Based Quality Assessment Of 3d Point Clouds Without Reference. - Aladine Chetouani; Maurice Quach; Giuseppe Valenzise; Frédéric Dufaux (ICME Workshops, 2021)

Multiscale deep context modeling for lossless point cloud geometry compression. - Dat Thanh Nguyen; Maurice Quach; Giuseppe Valenzise; Pierre Duhamel (ICME Workshops, 2021)

A Deep Point Cloud Geometry Coding Toolbox. - Maurice Quach; Giuseppe Valenzise; Frédéric Dufaux (ICME Workshops, 2021)

A deep perceptual metric for 3D point clouds. - Maurice Quach; Aladine Chetouani; Giuseppe Valenzise; Frédéric Dufaux (IQSP, 2021)

Convolutional Neural Network for 3D Point Cloud Quality Assessment with Reference. - Aladine Chetouani; Maurice Quach; Giuseppe Valenzise; Frédéric Dufaux (MMSP, 2021)

Lossless Coding of Point Cloud Geometry Using a Deep Generative Model. - Dat Thanh Nguyen; Maurice Quach; Giuseppe Valenzise; Pierre Duhamel (IEEE Trans. Circuits Syst. Video Technol., 2021)

Learning-based 3D point cloud quality assessment using a support vector regressor. - Aladine Chetouani; Maurice Quach; Giuseppe Valenzise; Frédéric Dufaux (IQSP, 2022)

Deep learning-based Point Cloud Compression. (Compression de nuages de points par apprentissage profond). - Maurice Quach (2022)

Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks. - Daniel Köhler; Maurice Quach; Michael Ulrich; Frank Meinl; Bastian Bischoff; Holger Blume (FUSION, 2023)

BASICS: Broad quality Assessment of Static point clouds In Compression Scenarios. - Ali Ak; Emin Zerman; Maurice Quach; Aladine Chetouani; Aljosa Smolic; Giuseppe Valenzise; Patrick Le Callet (CoRR, 2023)

Exploiting Sparsity in Automotive Radar Object Detection Networks. - Marius Lippke; Maurice Quach; Sascha Braun; Daniel Köhler; Michael Ulrich; Bastian Bischoff; Wei Yap Tan (CoRR, 2023)

BASICS DATASET: Broad Quality Assessment of Static Point Clouds in a Compression Scenario. - Ali Ak; Emin Zerman; Maurice Quach; Aladine Chetouani; Aljosa Smolic; Giuseppe Valenzise; Patrick Le Callet (Zenodo, 2023)

A Toolkit to Benchmark Point Cloud Quality Metrics with Multi-Track Evaluation Criteria. - Ali Ak; Emin Zerman; Maurice Quach; Aladine Chetouani; Giuseppe Valenzise; Patrick Le Callet (ICIP, 2024)

Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving. - Karim Armanious; Maurice Quach; Michael Ulrich; Timo Winterling; Johannes Friesen; Sascha Braun; Daniel Jenet; Yuri Feldman; Eitan Kosman; Philipp Rapp; Volker Fischer 003; Marc Sons; et al. (CoRR, 2024)

BASICS: Broad Quality Assessment of Static Point Clouds in a Compression Scenario. - Ali Ak; Emin Zerman; Maurice Quach; Aladine Chetouani; Aljosa Smolic; Giuseppe Valenzise; Patrick Le Callet (IEEE Trans. Multim., 2024)

BASICS DATASET: Broad Quality Assessment of Static Point Clouds in a Compression Scenario. - Ali Ak; Emin Zerman; Maurice Quach; Aladine Chetouani; Aljosa Smolic; Giuseppe Valenzise; Patrick Le Callet (Zenodo, 2024)