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Maurice Quach
Maurice Quach
Bosch Center for Artificial Intelligence
Email verificata su de.bosch.com - Home page
Titolo
Citata da
Citata da
Anno
Learning convolutional transforms for lossy point cloud geometry compression
M Quach, G Valenzise, F Dufaux
2019 IEEE international conference on image processing (ICIP), 4320-4324, 2019
1942019
Improved deep point cloud geometry compression
M Quach, G Valenzise, F Dufaux
2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP …, 2020
1282020
Lossless coding of point cloud geometry using a deep generative model
DT Nguyen, M Quach, G Valenzise, P Duhamel
IEEE Transactions on Circuits and Systems for Video Technology 31 (12), 4617 …, 2021
512021
Learning-based lossless compression of 3d point cloud geometry
DT Nguyen, M Quach, G Valenzise, P Duhamel
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
512021
Folding-based compression of point cloud attributes
M Quach, G Valenzise, F Dufaux
2020 IEEE International Conference on Image Processing (ICIP), 3309-3313, 2020
512020
Survey on deep learning-based point cloud compression
M Quach, J Pang, D Tian, G Valenzise, F Dufaux
Frontiers in Signal Processing 2, 846972, 2022
482022
Multiscale deep context modeling for lossless point cloud geometry compression
DT Nguyen, M Quach, G Valenzise, P Duhamel
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2021
482021
Deep learning-based quality assessment of 3d point clouds without reference
A Chetouani, M Quach, G Valenzise, F Dufaux
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2021
392021
BASICS: Broad quality assessment of static point clouds in a compression scenario
A Ak, E Zerman, M Quach, A Chetouani, A Smolic, G Valenzise, ...
IEEE Transactions on Multimedia, 2024
222024
Convolutional neural network for 3d point cloud quality assessment with reference
A Chetouani, M Quach, G Valenzise, F Dufaux
2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP …, 2021
172021
A deep perceptual metric for 3D point clouds
M Quach, A Chetouani, G Valenzise, F Dufaux
arXiv preprint arXiv:2102.12839, 2021
122021
Improved multi-scale grid rendering of point clouds for radar object detection networks
D Köhler, M Quach, M Ulrich, F Meinl, B Bischoff, H Blume
2023 26th International Conference on Information Fusion (FUSION), 1-8, 2023
82023
Combination of deep learning-based and handcrafted features for blind image quality assessment
A Chetouani, M Quach, G Valenzise, F Dufaux
2021 9th European Workshop on Visual Information Processing (EUVIP), 1-6, 2021
62021
Exploiting Sparsity in Automotive Radar Object Detection Networks
M Lippke, M Quach, S Braun, D Köhler, M Ulrich, B Bischoff, WY Tan
arXiv preprint arXiv:2308.07748, 2023
32023
Point cloud compression
G Valenzise, M Quach, D Tian, J Pang, F Dufaux
Immersive Video Technologies, 357-385, 2023
22023
Learning-based 3D point cloud quality assessment using a support vector regressor
A Chetouani, M Quach, G Valenzise, F Dufaux
Image Quality and System Performance, IS&T International Symposium on …, 2022
22022
Voxel-based Deep Point Cloud Geometry Compression
G Valenzise, M Quach, DT Nguyen, F Dufaux
CORESA (COmpression et REprésentation des Signaux Audiovisuels), 2021
22021
A Deep Point Cloud Geometry Coding Toolbox
M Quach, G Valenzise, F Dufaux
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-2, 2021
22021
A toolkit to benchmark point cloud quality metrics with multi-track evaluation criteria
A Ak, E Zerman, M Quach, A Chetouani, G Valenzise, P Le Callet
2024 IEEE International Conference on Image Processing (ICIP 2024), 2024
2024
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving
K Armanious, M Quach, M Ulrich, T Winterling, J Friesen, S Braun, ...
arXiv preprint arXiv:2407.12803, 2024
2024
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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