MOTETTI, BEATRICE ALESSANDRA
MOTETTI, BEATRICE ALESSANDRA
Dipartimento di Automatica e Informatica
051347
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones
In corso di stampa Risso, Matteo; Daghero, Francesco; Motetti, BEATRICE ALESSANDRA; JAHIER PAGLIARI, Daniele; Macii, Enrico; Poncino, Massimo; Burrello, Alessio
Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones
2024 Motetti, Beatrice Alessandra; Crupi, Luca; Elshaigi, Mustafa Omer Mohammed Elamin; Risso, Matteo; Jahier Pagliari, Daniele; Palossi, Daniele; Burrello, Alessio
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices
2024 Burrello, Alessio; Risso, Matteo; Motetti, BEATRICE ALESSANDRA; Macii, Enrico; Benini, Luca; JAHIER PAGLIARI, Daniele
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks
2024 Motetti, Beatrice Alessandra; Risso, Matteo; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization
2023 Jahier Pagliari, Daniele; Risso, Matteo; Motetti, Beatrice; Burrello, Alessio
Citazione | Data di pubblicazione | Autori | File |
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Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones / Risso, Matteo; Daghero, Francesco; Motetti, BEATRICE ALESSANDRA; JAHIER PAGLIARI, Daniele; Macii, Enrico; Poncino, Massimo; Burrello, Alessio. - ELETTRONICO. - (In corso di stampa). (Intervento presentato al convegno ERF 2024 | European Robotics Forum tenutosi a Rimini (IT) nel March, 13 - 15, 2024). | In corso di stampa | Matteo RissoFrancesco DagheroBeatrice Alessandra MotettiDaniele Jahier PagliariEnrico MaciiMassimo PoncinoAlessio Burrello | 2402.15273v1.pdf |
Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones / Motetti, Beatrice Alessandra; Crupi, Luca; Elshaigi, Mustafa Omer Mohammed Elamin; Risso, Matteo; Jahier Pagliari, Daniele; Palossi, Daniele; Burrello, Alessio. - ELETTRONICO. - (2024), pp. 1-6. (Intervento presentato al convegno Design, Automation and Test in Europe Conference, 2024 tenutosi a Valencia (ESP) nel 25-27 March 2024) [10.23919/DATE58400.2024.10546577]. | 1-gen-2024 | Motetti, Beatrice AlessandraRisso, MatteoJahier Pagliari, DanieleBurrello, Alessio + | Arxiv_Adaptive_Deep_Learning_for_Efficient_Visual_Pose_Estimation_Aboard_Ultra-Low-Power_Nano-Drones.pdf; IEEE_Xplore_Adaptive_Deep_Learning_for_Efficient_Visual_Pose_Estimation_Aboard_Ultra-Low-Power_Nano-Drones.pdf |
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices / Burrello, Alessio; Risso, Matteo; Motetti, BEATRICE ALESSANDRA; Macii, Enrico; Benini, Luca; JAHIER PAGLIARI, Daniele. - In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING. - ISSN 2168-6750. - ELETTRONICO. - 12:3(2024), pp. 780-794. [10.1109/TETC.2023.3322033] | 1-gen-2024 | Alessio BurrelloMatteo RissoBeatrice Alessandra MotettiEnrico MaciiLuca BeniniDaniele Jahier Pagliari | Journal___Multi_Loss__arxiv_.pdf; Enhancing_Neural_Architecture_Search_with_Multiple_Hardware_Constraints_for_Deep_Learning_Model_Deployment_on_Tiny_IoT_Devices.pdf; Enhancing_Neural_Architecture_Search_With_Multiple_Hardware_Constraints_for_Deep_Learning_Model_Deployment_on_Tiny_IoT_Devices.pdf |
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks / Motetti, Beatrice Alessandra; Risso, Matteo; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele. - In: IEEE TRANSACTIONS ON COMPUTERS. - ISSN 0018-9340. - ELETTRONICO. - 73:11(2024), pp. 2619-2633. [10.1109/tc.2024.3449084] | 1-gen-2024 | Motetti, Beatrice AlessandraRisso, MatteoBurrello, AlessioMacii, EnricoPoncino, MassimoJahier Pagliari, Daniele | Arxiv_Joint_Pruning_and_Channel-wise_Mixed-Precision_Quantization_for_Efficient_Deep_Neural_Networks.pdf; Joint_Pruning_and_Channel-Wise_Mixed-Precision_Quantization_for_Efficient_Deep_Neural_Networks.pdf |
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization / Jahier Pagliari, Daniele; Risso, Matteo; Motetti, Beatrice; Burrello, Alessio. - ELETTRONICO. - (2023), pp. 1-8. (Intervento presentato al convegno Forum for Specification and Design Languages (FDL) tenutosi a Turin (Italy) nel September 13-15, 2023) [10.1109/FDL59689.2023.10272045]. | 1-gen-2023 | Jahier Pagliari, DanieleRisso, MatteoMotetti, BeatriceBurrello, Alessio | 2307.09488.pdf; PLiNIO_A_User-Friendly_Library_of_Gradient-Based_Methods_for_Complexity-Aware_DNN_Optimization.pdf |