Davide Callegaro

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 20

Top Topics

Geometric Invariants

Object Detection

Minimum Bounding

Top Venues

Publications

Anas Alsoliman, Giulio Rigoni, Davide Callegaro, Marco Levorato, Cristina M. Pinotti, Mauro Conti
Intrusion Detection Framework for Invasive FPV Drones Using Video Streaming Characteristics. ACM Trans. Cyber Phys. Syst. 7 (2) (2023)
Yoshitomo Matsubara, Davide Callegaro, Sameer Singh, Marco Levorato, Francesco Restuccia
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing. WoWMoM (2022)
Davide Callegaro, Marco Levorato, Francesco Restuccia
SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection. WoWMoM (2022)
Esteve Almirall, Davide Callegaro, Peter Bruins, Mar Santamaria, Pablo Martínez, Ulises Cortés
The use of Synthetic Data to solve the scalability and data availability problems in Smart City Digital Twins. CoRR (2022)
Alexander Lianides, Isaac Chan, Mohamed Ismail, Ian Harshbarger, Marco Levorato, Davide Callegaro, Sharon L. G. Contreras
3D Object Detection for Aerial Platforms via Edge Computing: An Experimental Evaluation. DCOSS (2022)
Davide Callegaro, Francesco Restuccia, Marco Levorato
SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection. CoRR (2022)
Yoshitomo Matsubara, Davide Callegaro, Sameer Singh, Marco Levorato, Francesco Restuccia
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing. CoRR (2022)
Augusto Vega, Alper Buyuktosunoglu, Davide Callegaro, Marco Levorato, Pradip Bose
Cloud-backed mobile cognition. Computing 104 (3) (2022)
Esteve Almirall, Davide Callegaro, Peter Bruins, Mar Santamaria, Pablo Martínez, Ulises Cortés
Deep Air - A Smart City AI Synthetic Data Digital Twin Solving the Scalability Data Problems. CCIA (2022)
Davide Callegaro, Marco Levorato
Optimal Edge Computing for Infrastructure-Assisted UAV Systems. IEEE Trans. Veh. Technol. 70 (2) (2021)
Davide Callegaro, Marco Levorato, Francesco Restuccia
SeReMAS: Self-Resilient Mobile AutonomousSystems Through Predictive Edge Computing. CoRR (2021)
Davide Callegaro, Marco Levorato, Francesco Restuccia
SeReMAS: Self-Resilient Mobile Autonomous Systems Through Predictive Edge Computing. SECON (2021)
Yoshitomo Matsubara, Davide Callegaro, Sabur Baidya, Marco Levorato, Sameer Singh
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems. IEEE Access 8 (2020)
Davide Callegaro, Yoshitomo Matsubara, Marco Levorato
Optimal Task Allocation for Time-Varying Edge Computing Systems with Split DNNs. GLOBECOM (2020)
Davide Callegaro, Sabur Baidya, Marco Levorato
Dynamic Distributed Computing for Infrastructure-Assisted Autonomous UAVs. ICC (2020)
Yoshitomo Matsubara, Sabur Baidya, Davide Callegaro, Marco Levorato, Sameer Singh
Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems. HotEdgeVideo@MOBICOM (2019)
Davide Callegaro, Sabur Baidya, Gowri Sankar Ramachandran, Bhaskar Krishnamachari, Marco Levorato
Information Autonomy: Self-Adaptive Information Management for Edge-Assisted Autonomous UAV Systems. MILCOM (2019)
Davide Callegaro, Sabur Baidya, Marco Levorato
A Measurement Study on Edge Computing for Autonomous UAVs. MAGESys@SIGCOMM (2019)
Davide Callegaro, Marco Levorato
Optimal Computation Offloading in Edge-Assisted UAV Systems. GLOBECOM (2018)
Igor Burago, Davide Callegaro, Marco Levorato, Sameer Singh
Intelligent data filtering in constrained IoT systems. ACSSC (2017)