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ORCIDMaurice Quach
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2020 – today
- 2024
[j2]Ali Ak
, Emin Zerman, Maurice Quach, Aladine Chetouani, Aljosa Smolic, Giuseppe Valenzise, Patrick Le Callet:
BASICS: Broad Quality Assessment of Static Point Clouds in a Compression Scenario. IEEE Trans. Multim. 26: 6730-6742 (2024)- [d2]Ali Ak, Emin Zerman, Maurice Quach, Aladine Chetouani, Aljosa Smolic, Giuseppe Valenzise, Patrick Le Callet:
BASICS DATASET: Broad Quality Assessment of Static Point Clouds in a Compression Scenario. Version 2. Zenodo, 2024 [all versions]
- [i11]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:
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving. CoRR abs/2407.12803 (2024) - 2023
- [c12]Daniel Köhler, Maurice Quach, Michael Ulrich, Frank Meinl, Bastian Bischoff, Holger Blume:
Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks. FUSION 2023: 1-8 - [d1]Ali Ak, Emin Zerman, Maurice Quach, Aladine Chetouani, Aljosa Smolic, Giuseppe Valenzise, Patrick Le Callet:
BASICS DATASET: Broad Quality Assessment of Static Point Clouds in a Compression Scenario. Version v1. Zenodo, 2023 [all versions] - [i10]Ali Ak, Emin Zerman, Maurice Quach, Aladine Chetouani, Aljosa Smolic, Giuseppe Valenzise, Patrick Le Callet:
BASICS: Broad quality Assessment of Static point clouds In Compression Scenarios. CoRR abs/2302.04796 (2023) - [i9]Daniel Köhler, Maurice Quach, Michael Ulrich, Frank Meinl, Bastian Bischoff, Holger Blume:
Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks. CoRR abs/2305.15836 (2023) - [i8]Marius Lippke, Maurice Quach, Sascha Braun, Daniel Köhler, Michael Ulrich, Bastian Bischoff, Wei Yap Tan:
Exploiting Sparsity in Automotive Radar Object Detection Networks. CoRR abs/2308.07748 (2023) - 2022
- [b1]Maurice Quach:
Deep learning-based Point Cloud Compression. (Compression de nuages de points par apprentissage profond). University of Paris-Saclay, France, 2022 - [c11]Aladine Chetouani, Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux:
Learning-based 3D point cloud quality assessment using a support vector regressor. IQSP 2022: 1-5 - 2021
- [j1]Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel:
Lossless Coding of Point Cloud Geometry Using a Deep Generative Model. IEEE Trans. Circuits Syst. Video Technol. 31(12): 4617-4629 (2021) - [c10]Aladine Chetouani, Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux:
Combination of Deep Learning-Based and Handcrafted Features for Blind Image Quality Assessment. EUVIP 2021: 1-6 - [c9]Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel:
Learning-Based Lossless Compression of 3D Point Cloud Geometry. ICASSP 2021: 4220-4224 - [c8]Aladine Chetouani, Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux:
Deep Learning-Based Quality Assessment Of 3d Point Clouds Without Reference. ICME Workshops 2021: 1-6 - [c7]Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel:
Multiscale deep context modeling for lossless point cloud geometry compression. ICME Workshops 2021: 1-6 - [c6]Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux:
A Deep Point Cloud Geometry Coding Toolbox. ICME Workshops 2021: 1-2 - [c5]Maurice Quach, Aladine Chetouani, Giuseppe Valenzise, Frédéric Dufaux:
A deep perceptual metric for 3D point clouds. IQSP 2021 - [c4]Aladine Chetouani, Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux:
Convolutional Neural Network for 3D Point Cloud Quality Assessment with Reference. MMSP 2021: 1-6 - [i7]Maurice Quach, Aladine Chetouani, Giuseppe Valenzise, Frédéric Dufaux:
A deep perceptual metric for 3D point clouds. CoRR abs/2102.12839 (2021) - [i6]Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel:
Multiscale deep context modeling for lossless point cloud geometry compression. CoRR abs/2104.09859 (2021) - [i5]Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel:
Lossless Coding of Point Cloud Geometry using a Deep Generative Model. CoRR abs/2107.00400 (2021) - 2020
- [c3]Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux:
Folding-Based Compression Of Point Cloud Attributes. ICIP 2020: 3309-3313 - [c2]Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux:
Improved Deep Point Cloud Geometry Compression. MMSP 2020: 1-6 - [i4]Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux:
Folding-based compression of point cloud attributes. CoRR abs/2002.04439 (2020) - [i3]Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux:
Improved Deep Point Cloud Geometry Compression. CoRR abs/2006.09043 (2020) - [i2]Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel:
Learning-based lossless compression of 3D point cloud geometry. CoRR abs/2011.14700 (2020)
2010 – 2019
- 2019
- [c1]Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux:
Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression. ICIP 2019: 4320-4324 - [i1]Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux:
Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression. CoRR abs/1903.08548 (2019)
Coauthor Index
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last updated on 2024-08-25 19:12 CEST by the dblp team
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