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ORCIDGiovanni De Magistris
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2020 – today
- 2024
[c17]Gabriele Valvano, Antonino Agostino, Giovanni De Magistris, Antonino Graziano, Giacomo Veneri
:
Controllable Image Synthesis of Industrial Data using Stable Diffusion. WACV 2024: 5342-5351- [i14]Gabriele Valvano, Antonino Agostino, Giovanni De Magistris, Antonino Graziano, Giacomo Veneri:
Controllable Image Synthesis of Industrial Data Using Stable Diffusion. CoRR abs/2401.03152 (2024) - 2023
- [i13]Shadi Ghiasi, Guido Pazzi, Concettina Del Grosso, Giovanni De Magistris, Giacomo Veneri:
Combining Thermodynamics-based Model of the Centrifugal Compressors and Active Machine Learning for Enhanced Industrial Design Optimization. CoRR abs/2309.02818 (2023) - 2022
- [c16]Murat Uney, Pietro Stinco, Richard Dreo, Michele Micheli, Giovanni De Magistris, Alessandra Tesei:
Passive Sensor Fusion and Tracking in Underwater Surveillance with the GLMB model. FUSION 2022: 1-8 - [i12]Malathi Murugesan, Kanika Goyal, Laure Barriere, Maura Pasquotti, Giacomo Veneri, Giovanni De Magistris:
Deep Surrogate of Modular Multi Pump using Active Learning. CoRR abs/2208.02840 (2022) - 2020
- [j4]Domenico Gaglione, Giovanni Soldi, Paolo Braca, Giovanni De Magistris, Florian Meyer, Franz Hlawatsch:
Classification-Aided Multitarget Tracking Using the Sum-Product Algorithm. IEEE Signal Process. Lett. 27: 1710-1714 (2020) - [c15]Pietro Stinco, Giovanni De Magistris, Alessandra Tesei, Kevin D. LePage:
Automatic Object Classification with Active Sonar using Unsupervised Anomaly Detection. EUSIPCO 2020: 46-50 - [c14]Giovanni De Magistris, Murat Uney, Pietro Stinco, Gabriele Ferri, Alessandra Tesei, Kevin Le Page:
Selective Information Transmission using Convolutional Neural Networks for Cooperative Underwater Surveillance. FUSION 2020: 1-8 - [c13]Giovanni Soldi, Domenico Gaglione, Giovanni De Magistris, Paolo Braca, Pietro Stinco, Gabriele Ferri, Alessandra Tesei, Kevin Le Page:
Underwater Tracking Based on the Sum-Product Algorithm Enhanced by a Neural Network Detections Classifier. ICASSP 2020: 5460-5464 - [c12]Gabriele Ferri, Pietro Stinco, Giovanni De Magistris, Alessandra Tesei, Kevin D. LePage:
Cooperative Autonomy and Data Fusion for Underwater Surveillance With Networked AUVs. ICRA 2020: 871-877
2010 – 2019
- 2018
- [c11]Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris, Sakyasingha Dasgupta:
Transfer Learning from Synthetic to Real Images Using Variational Autoencoders for Precise Position Detection. ICIP 2018: 2725-2729 - [c10]Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, Ryuki Tachibana:
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention. ICPR 2018: 2624-2629 - [c9]Asim Munawar, Giovanni De Magistris, Tu-Hoa Pham, Daiki Kimura, Michiaki Tatsubori, Takao Moriyama, Ryuki Tachibana, Grady Booch:
MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning. ICRA 2018: 527-534 - [c8]Tu-Hoa Pham, Giovanni De Magistris, Ryuki Tachibana:
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World. ICRA 2018: 6236-6243 - [i11]Asim Munawar, Giovanni De Magistris, Tu-Hoa Pham, Daiki Kimura, Michiaki Tatsubori, Takao Moriyama, Ryuki Tachibana, Grady Booch:
MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning. CoRR abs/1806.00802 (2018) - [i10]Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, Ryuki Tachibana:
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention. CoRR abs/1806.08523 (2018) - [i9]Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris, Sakyasingha Dasgupta:
Transfer Learning From Synthetic To Real Images Using Variational Autoencoders For Precise Position Detection. CoRR abs/1807.01990 (2018) - [i8]Giovanni De Magistris, Asim Munawar, Tu-Hoa Pham, Tadanobu Inoue, Phongtharin Vinayavekhin, Ryuki Tachibana:
Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion. CoRR abs/1807.06749 (2018) - [i7]Don Joven Agravante, Giovanni De Magistris, Asim Munawar, Phongtharin Vinayavekhin, Ryuki Tachibana:
Deep Learning with Predictive Control for Human Motion Tracking. CoRR abs/1808.02200 (2018) - [i6]Takao Moriyama, Giovanni De Magistris, Michiaki Tatsubori, Tu-Hoa Pham, Asim Munawar, Ryuki Tachibana:
Reinforcement Learning Testbed for Power-Consumption Optimization. CoRR abs/1808.10427 (2018) - [i5]Tu-Hoa Pham, Giovanni De Magistris, Don Joven Agravante, Subhajit Chaudhury, Asim Munawar, Ryuki Tachibana:
Constrained Exploration and Recovery from Experience Shaping. CoRR abs/1809.08925 (2018) - 2017
- [j3]Giovanni De Magistris, Adrien Pajon, Sylvain Miossec, Abderrahmane Kheddar:
Optimized humanoid walking with soft soles. Robotics Auton. Syst. 95: 52-63 (2017) - [j2]Giovanni De Magistris, Sylvain Miossec, Adrien Escande, Abderrahmane Kheddar:
Design of optimized soft soles for humanoid robots. Robotics Auton. Syst. 95: 129-142 (2017) - [c7]Adrien Pajon, Stéphane Caron, Giovanni De Magistris, Sylvain Miossec, Abderrahmane Kheddar:
Walking on gravel with soft soles using linear inverted pendulum tracking and reaction force distribution. Humanoids 2017: 432-437 - [c6]Tadanobu Inoue, Giovanni De Magistris, Asim Munawar, Tsuyoshi Yokoya, Ryuki Tachibana:
Deep reinforcement learning for high precision assembly tasks. IROS 2017: 819-825 - [c5]Asim Munawar, Phongtharin Vinayavekhin, Giovanni De Magistris:
Limiting the reconstruction capability of generative neural network using negative learning. MLSP 2017: 1-6 - [c4]Phongtharin Vinayavekhin, Michiaki Tatsubori, Daiki Kimura, Yifan Huang, Giovanni De Magistris, Asim Munawar, Ryuki Tachibana:
Human-Like Hand Reaching by Motion Prediction Using Long Short-Term Memory. ICSR 2017: 156-166 - [c3]Asim Munawar, Phongtharin Vinayavekhin, Giovanni De Magistris:
Spatio-Temporal Anomaly Detection for Industrial Robots through Prediction in Unsupervised Feature Space. WACV 2017: 1017-1025 - [i4]Tadanobu Inoue, Giovanni De Magistris, Asim Munawar, Tsuyoshi Yokoya, Ryuki Tachibana:
Deep Reinforcement Learning for High Precision Assembly Tasks. CoRR abs/1708.04033 (2017) - [i3]Asim Munawar, Phongtharin Vinayavekhin, Giovanni De Magistris:
Limiting the Reconstruction Capability of Generative Neural Network using Negative Learning. CoRR abs/1708.08985 (2017) - [i2]Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris, Sakyasingha Dasgupta:
Transfer learning from synthetic to real images using variational autoencoders for robotic applications. CoRR abs/1709.06762 (2017) - [i1]Tu-Hoa Pham, Giovanni De Magistris, Ryuki Tachibana:
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World. CoRR abs/1709.07643 (2017) - 2016
- [c2]Giovanni De Magistris, Adrien Pajon, Sylvain Miossec, Abderrahmane Kheddar:
Humanoid walking with compliant soles using a deformation estimator. ICRA 2016: 1757-1762 - 2015
- [j1]Giovanni De Magistris, Alain Micaelli, Paul Evrard, Jonathan Savin:
A human-like learning control for digital human models in a physics-based virtual environment. Vis. Comput. 31(4): 423-440 (2015) - [c1]Adrien Pajon, Giovanni De Magistris, Sylvain Miossec, Kenji Kaneko, Abderrahmane Kheddar:
A humanoid walking pattern generator for sole design optimization. ICAR 2015: 105-110 - 2013
- [b1]Giovanni De Magistris:
Étude et conception de la commande de mannequins virtuels dynamiques pour l'évaluation ergonomique des postes de travail. (Dynamic Digital Human Model control design for the assessment of the workstation ergonomics). Pierre and Marie Curie University, Paris, France, 2013
Coauthor Index
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