Archivio Istituzionale della RicercaCIPOLLETTA, ANTONIO
CIPOLLETTA, ANTONIO
Dipartimento di Automatica e Informatica
041527
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Risultati 1 - 10 di 10 (tempo di esecuzione: 0.084 secondi).
Dynamic ConvNets on Tiny Devices via Nested Sparsity
2023 Grimaldi, Matteo; Mocerino, Luca; Cipolletta, Antonio; Calimera, Andrea
Energy-Quality Scalable Monocular Depth Estimation on Low-Power CPUs
2022 Cipolletta, Antonio; Peluso, Valentino; Calimera, Andrea; Poggi, Matteo; Tosi, Fabio; Aleotti, Filippo; Mattoccia, Stefano
Monocular Depth Perception on Microcontrollers for Edge Applications
2022 Peluso, Valentino; Cipolletta, Antonio; Calimera, Andrea; Poggi, Matteo; Tosi, Fabio; Aleotti, Filippo; Mattoccia, Stefano
Vertical Optimizations of Convolutional Neural Networks for Embedded Systems
2022 Cipolletta, Antonio
Dataflow Restructuring for Active Memory Reduction in Deep Neural Networks
2021 Cipolletta, A.; Calimera, A.
On the Efficiency of Sparse-Tiled Tensor Graph Processing for Low Memory Usage
2021 Cipolletta, A.; Calimera, A.
Enabling monocular depth perception at the very edge
2020 Peluso, V.; Cipolletta, A.; Calimera, A.; Poggi, M.; Tosi, F.; Aleotti, F.; Mattoccia, S.
Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms
2019 Peluso, V.; Cipolletta, Antonio; Calimera, A.; Poggi, M.; Tosi, F.; Mattoccia, S.
Inference on the Edge: Performance Analysis of an Image Classification Task Using Off-The-Shelf CPUs and Open-Source ConvNets
2019 Peluso, V.; Rizzo, R. G.; Cipolletta, A.; Calimera, A.
Integer ConvNets on embedded CPUs: Tools and performance assessment on the cortex-A cores
2019 Peluso, V.; Cipolletta, A.; Vaiana, F.; Calimera, A.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Dynamic ConvNets on Tiny Devices via Nested Sparsity / Grimaldi, Matteo; Mocerino, Luca; Cipolletta, Antonio; Calimera, Andrea. - In: IEEE INTERNET OF THINGS JOURNAL. - ISSN 2327-4662. - 10:6(2023), pp. 5073-5082. [10.1109/JIOT.2022.3222014] | 1-gen-2023 | Matteo GrimaldiLuca MocerinoAntonio CipollettaAndrea Calimera | final.pdf; Dynamic_ConvNets_on_Tiny_Devices_via_Nested_Sparsity.pdf |
| Energy-Quality Scalable Monocular Depth Estimation on Low-Power CPUs / Cipolletta, Antonio; Peluso, Valentino; Calimera, Andrea; Poggi, Matteo; Tosi, Fabio; Aleotti, Filippo; Mattoccia, Stefano. - In: IEEE INTERNET OF THINGS JOURNAL. - ISSN 2327-4662. - 9:1(2022), pp. 25-36. [10.1109/JIOT.2021.3080827] | 1-gen-2022 | Cipolletta, AntonioPeluso, ValentinoCalimera, AndreaTosi, FabioMattoccia, Stefano + | main.pdf; Energy-Quality_Scalable_Monocular_Depth_Estimation_on_Low-Power_CPUs.pdf |
| Monocular Depth Perception on Microcontrollers for Edge Applications / Peluso, Valentino; Cipolletta, Antonio; Calimera, Andrea; Poggi, Matteo; Tosi, Fabio; Aleotti, Filippo; Mattoccia, Stefano. - In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY. - ISSN 1051-8215. - 32:3(2022), pp. 1524-1536. [10.1109/TCSVT.2021.3077395] | 1-gen-2022 | Peluso, ValentinoCipolletta, AntonioCalimera, AndreaTosi, FabioMattoccia, Stefano + | main_iris.pdf; Monocular_Depth_Perception_on_Microcontrollers_for_Edge_Applications.pdf |
| Vertical Optimizations of Convolutional Neural Networks for Embedded Systems / Cipolletta, Antonio. - (2022 Jun 16), pp. 1-170. | 16-giu-2022 | CIPOLLETTA, ANTONIO | thesis.pdfa.pdf; summary.pdfa.pdf |
| Dataflow Restructuring for Active Memory Reduction in Deep Neural Networks / Cipolletta, A.; Calimera, A.. - (2021), pp. 114-119. (Intervento presentato al convegno 2021 Design, Automation and Test in Europe Conference and Exhibition, DATE 2021 nel 01-05 February 2021) [10.23919/DATE51398.2021.9473965]. | 1-gen-2021 | Cipolletta A.Calimera A. | DATE21_final_submitted.pdf; Dataflow_Restructuring_for_Active_Memory_Reduction_in_Deep_Neural_Networks.pdf |
| On the Efficiency of Sparse-Tiled Tensor Graph Processing for Low Memory Usage / Cipolletta, A.; Calimera, A.. - ELETTRONICO. - (2021), pp. 643-648. (Intervento presentato al convegno 58th ACM/IEEE Design Automation Conference, DAC 2021 tenutosi a usa nel 2021) [10.1109/DAC18074.2021.9586154]. | 1-gen-2021 | Cipolletta A.Calimera A. | DAC21_camera_ready.pdf; On_The_Efficiency_of_Sparse-Tiled_Tensor_Graph_Processing_For_Low_Memory_Usage.pdf |
| Enabling monocular depth perception at the very edge / Peluso, V.; Cipolletta, A.; Calimera, A.; Poggi, M.; Tosi, F.; Aleotti, F.; Mattoccia, S.. - 2020:(2020), pp. 1581-1583. (Intervento presentato al convegno 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020 tenutosi a usa nel 2020) [10.1109/CVPRW50498.2020.00204]. | 1-gen-2020 | Peluso V.Cipolletta A.Calimera A.Aleotti F.Mattoccia S. + | 09150972.pdf; LPVCV_2020_postprint_iris.pdf |
| Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms / Peluso, V.; Cipolletta, Antonio; Calimera, A.; Poggi, M.; Tosi, F.; Mattoccia, S.. - (2019), pp. 1703-1708. (Intervento presentato al convegno 22nd Design, Automation and Test in Europe Conference and Exhibition, DATE 2019 tenutosi a Firenze Fiera, ita nel 2019) [10.23919/DATE.2019.8714893]. | 1-gen-2019 | Peluso V.CIPOLLETTA, ANTONIOCalimera A. + | - |
| Inference on the Edge: Performance Analysis of an Image Classification Task Using Off-The-Shelf CPUs and Open-Source ConvNets / Peluso, V.; Rizzo, R. G.; Cipolletta, A.; Calimera, A.. - (2019), pp. 454-459. (Intervento presentato al convegno 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019 tenutosi a esp nel 2019) [10.1109/SNAMS.2019.8931889]. | 1-gen-2019 | Peluso V.Rizzo R. G.Cipolletta A.Calimera A. | SNAMS19.pdf; 08931889_snam.pdf |
| Integer ConvNets on embedded CPUs: Tools and performance assessment on the cortex-A cores / Peluso, V.; Cipolletta, A.; Vaiana, F.; Calimera, A.. - (2019), pp. 598-601. (Intervento presentato al convegno 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019 tenutosi a ita nel 2019) [10.1109/ICECS46596.2019.8965168]. | 1-gen-2019 | Peluso V.Cipolletta A.Vaiana F.Calimera A. | icecs19.pdf; ICECS19.pdf |