Maurice Quach

According to our database, Maurice Quach authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Dataset, January, 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

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, Marc Sons, Lukas Kohns, Daniel Eckstein, Daniela Egbert, Simone Letsch, Corinna Voege, Felix Huttner, Alexander Bartler, Robert Maiwald, Yancong Lin, Ulf Rüegg, Claudius Gläser, Bastian Bischoff, Jascha Freess, Karsten Haug, Kathrin Klee, Holger Caesar

CoRR, 2024

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

Dataset, September, 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: 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

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

Proceedings of the 26th International Conference on Information Fusion, 2023

2022

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

Maurice Quach

PhD thesis, 2022

Learning-based 3D point cloud quality assessment using a support vector regressor.

Aladine Chetouani, Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux

Proceedings of the Image Quality and System Performance XIX, 2022

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

Convolutional Neural Network for 3D Point Cloud Quality Assessment with Reference.

Aladine Chetouani, Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux

Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

A deep perceptual metric for 3D point clouds.

Maurice Quach, Aladine Chetouani, Giuseppe Valenzise, Frédéric Dufaux

Proceedings of the Image Quality and System Performance XVIII, Electronic Imaging 2021, 2021

A Deep Point Cloud Geometry Coding Toolbox.

Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux

Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

Multiscale deep context modeling for lossless point cloud geometry compression.

Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel

Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

Deep Learning-Based Quality Assessment Of 3d Point Clouds Without Reference.

Aladine Chetouani, Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux

Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

Learning-Based Lossless Compression of 3D Point Cloud Geometry.

Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel

Proceedings of the IEEE International Conference on Acoustics, 2021

Combination of Deep Learning-Based and Handcrafted Features for Blind Image Quality Assessment.

Aladine Chetouani, Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux

Proceedings of the 9th European Workshop on Visual Information Processing, 2021

2020

Improved Deep Point Cloud Geometry Compression.

Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux

Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

Folding-Based Compression Of Point Cloud Attributes.

Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression.

Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019