| 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 | 157 | 2019 |
| Improved deep point cloud geometry compression M Quach, G Valenzise, F Dufaux 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP …, 2020 | 103 | 2020 |
| 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 | 40 | 2021 |
| Folding-based compression of point cloud attributes M Quach, G Valenzise, F Dufaux 2020 IEEE International Conference on Image Processing (ICIP), 3309-3313, 2020 | 40 | 2020 |
| 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 | 37 | 2021 |
| 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 | 36 | 2021 |
| 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 | 27 | 2022 |
| 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 | 25 | 2021 |
| 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 | 14 | 2021 |
| A deep perceptual metric for 3D point clouds M Quach, A Chetouani, G Valenzise, F Dufaux arXiv preprint arXiv:2102.12839, 2021 | 10 | 2021 |
| BASICS: Broad quality Assessment of Static point clouds In Compression Scenarios A Ak, E Zerman, M Quach, A Chetouani, A Smolic, G Valenzise, PL Callet arXiv preprint arXiv:2302.04796, 2023 | 6 | 2023 |
| 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 | 5 | 2021 |
| 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 arXiv preprint arXiv:2305.15836, 2023 | 2 | 2023 |
| 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 | 2 | 2022 |
| Voxel-based Deep Point Cloud Geometry Compression G Valenzise, M Quach, DT Nguyen, F Dufaux CORESA (COmpression et REprésentation des Signaux Audiovisuels), 2021 | 2 | 2021 |
| 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 | 2 | 2021 |
| 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 | | 2023 |
| Point cloud compression G Valenzise, M Quach, D Tian, J Pang, F Dufaux Immersive Video Technologies, 357-385, 2023 | | 2023 |
| Compression de nuages de points par apprentissage profond M Quach | | 2022 |
| Deep learning-based Point Cloud Compression M Quach Université Paris-Saclay, 2022 | | 2022 |
Giuseppe ValenziseResearcher, L2S, CNRS, CentraleSupelec, Université Paris-SaclayAdresse e-mail validée de l2s.centralesupelec.fr
