Marco Ciccone
Publications by Year
Research Areas
Advanced Neural Network Applications, Privacy-Preserving Technologies in Data, Domain Adaptation and Few-Shot Learning, Advanced Memory and Neural Computing, Multimodal Machine Learning Applications
Most-Cited Works
- → Incremental Learning in Semantic Segmentation from Image Labels(2022)58 cited
- → FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving(2022)52 cited
- → ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation(2016)50 cited
- → Attention Mechanisms for Object Recognition With Event-Based Cameras(2019)47 cited
- → Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning(2023)38 cited
- → PEM: Prototype-Based Efficient MaskFormer for Image Segmentation(2024)31 cited
- → Transient-Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead(2022)26 cited
- → NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations(2018)26 cited
- Event-based Convolutional Networks for Object Detection in Neuromorphic Cameras.(2018)
- → Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients(2022)14 cited