Publications
996 documents
- Jean-Emmanuel Deschaud. Nuage de Points et Modélisation 3D. Vision par ordinateur et reconnaissance de formes [cs.CV]. Sorbonne Université, 2020. ⟨tel-03916523⟩
- Martin Brossard, Axel Barrau, Paul Chauchat, Silvère Bonnabel. Associating Uncertainty to Extended Poses for on Lie Group IMU Preintegration with Rotating Earth. 2020. ⟨hal-02906941v2⟩
- Tao Ku, Remco C Veltkamp, Bas Boom, David Duque-Arias, Santiago Velasco-Forero, et al.. SHREC 2020 Track: 3D Point Cloud Semantic Segmentation for Street Scenes. Computers and Graphics, 2020, 93, pp.13-24. ⟨10.1016/j.cag.2020.09.006⟩. ⟨hal-03007281⟩
- Wang Xi, Guillaume Devineau, Fabien Moutarde, Jie Yang. Generative Model for Skeletal Human Movements Based on Conditional DC-GAN Applied to Pseudo-Images. Algorithms, 2020, 13 (12), pp.319. ⟨10.3390/a13120319⟩. ⟨hal-03039879⟩
- Joseph Gesnouin, Steve Pechberti, Guillaume Bresson, Bogdan Stanciulescu, Fabien Moutarde. Predicting Intentions of Pedestrians from 2D Skeletal Pose Sequences with a Representation-Focused Multi-Branch Deep Learning Network. Algorithms, 2020, 13 (12), pp.331. ⟨10.3390/a13120331⟩. ⟨hal-03059635⟩
- Thomas Chaton, Nicolas Chaulet, Sofiane Horache, Loic Landrieu. Torch-Points3D: A modular multi-task framework for reproducible deep learning on 3D point clouds. 3DV 2020 - International Conference on 3D Vision, Nov 2020, online, Japan. ⟨hal-03013190⟩
- Brenda Elizabeth Olivas Padilla, Dimitrios Menychtas, Alina Glushkova, Sotiris Manitsaris. Hidden Markov Modelling And Recognition Of Euler-Based Motion Patterns For Automatically Detecting Risks Factors From The European Assembly Worksheet. 2020 IEEE International Conference on Image Processing (ICIP), Oct 2020, Abu Dhabi, United Arab Emirates. pp.3259-3263, ⟨10.1109/ICIP40778.2020.9190756⟩. ⟨hal-03530145⟩
- Théophile Cantelobre, Clément Chahbazian, Arnaud Croux, Silvère Bonnabel. A real-time unscented Kalman filter on manifolds for challenging AUV navigation. IEEE International Conference on Intelligent Robots and Systems, Oct 2020, Las Vegas, United States. ⟨10.1109/IROS45743.2020.9341216⟩. ⟨hal-02915271⟩
- Martin Brossard. Deep learning, inertial measurements units, and odometry : some modern prototyping techniques for navigation based on multi-sensor fusion. Machine Learning [cs.LG]. Université Paris sciences et lettres, 2020. English. ⟨NNT : 2020UPSLM067⟩. ⟨tel-03262132⟩
- Martin Brossard. Deep learning, Inertial Measurements Units, and Odometry: Some Modern Prototyping Techniques for Navigation Based on Multi-Sensor Fusion. Automatic. ISMME, 2020. English. ⟨NNT : ⟩. ⟨tel-03006062⟩
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