Lorenzo Brigato

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Comparative Analysis

Image Classification

Video Streaming

Training Dataset

Top Venues

ICCV (Workshops)

Publications

Lorenzo Brigato, Stavroula G. Mougiakakou
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets. CoRR (2024)
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula G. Mougiakakou
A Comparative Analysis of Sensor-, Geometry-, and Neural-Based Methods for Food Volume Estimation. MADiMa@MM (2023)
Ethan Dack, Lorenzo Brigato, Matthew McMurray, Matthias Fontanellaz, Thomas Frauenfelder, Hanno Hoppe, Aristomenis Exadaktylos, Thomas Geiser, Manuela Funke-Chambour, Andreas Christe, Lukas Ebner, Stavroula G. Mougiakakou
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports. CoRR (2023)
Maria Panagiotou, Ioannis Papathanail, Lubnaa Abdur Rahman, Lorenzo Brigato, Natalie S. Bez, Maria F. Vasiloglou, Thomai Stathopoulou, Bastiaan E. de Galan, Ulrik Pedersen-Bjergaard, Klazine van der Horst, Stavroula G. Mougiakakou
A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management. CAIP (2) (2023)
Lorenzo Brigato, Stavroula G. Mougiakakou
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets. ICCV (Workshops) (2023)
Lorenzo Brigato, Stavroula G. Mougiakakou
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets. CoRR (2023)
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Elias K. Spanakis, Stavroula G. Mougiakakou
Food Recognition and Nutritional Apps. CoRR (2023)
Ethan Dack, Lorenzo Brigato, Matthew McMurray, Matthias Fontanellaz, Thomas Frauenfelder, Hanno Hoppe, Aristomenis Exadaktylos, Thomas Geiser, Manuela Funke-Chambour, Andreas Christe, Lukas Ebner, Stavroula G. Mougiakakou
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports. ICCV (Workshops) (2023)
Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler
Image Classification With Small Datasets: Overview and Benchmark. IEEE Access 10 (2022)
Lorenzo Brigato, B. Barz, Luca Iocchi, Joachim Denzler
Image Classification with Small Datasets: Overview and Benchmark. CoRR (2022)
Björn Barz, Lorenzo Brigato, Luca Iocchi, Joachim Denzler
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge. CoRR (2021)
Lorenzo Brigato, Riccardo Sartea, Stefano Simonazzi, Alessandro Farinelli, Luca Iocchi, Christian Napoli
Exploiting Time Dynamics for One-Class and Open-Set Anomaly Detection. ICAISC (2) (2021)
Lorenzo Brigato, Luca Iocchi
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets. CoRR (2021)
Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification. CoRR (2021)
Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification. ICCVW (2021)
Lorenzo Brigato, Luca Iocchi
A Close Look at Deep Learning with Small Data. CoRR (2020)
Lorenzo Brigato, Luca Iocchi
A Close Look at Deep Learning with Small Data. ICPR (2020)
Matteo Olivato, Omar Cotugno, Lorenzo Brigato, Domenico Bloisi, Alessandro Farinelli, Luca Iocchi
A Comparative Analysis on the use of Autoencoders for Robot Security Anomaly Detection. IROS (2019)
Nizar Massouh, Lorenzo Brigato, Luca Iocchi
RoboCup@Home-Objects: Benchmarking Object Recognition for Home Robots. RoboCup (2019)
Matteo Cognolato, Lorenzo Brigato, Yashin Dicente Cid, Manfredo Atzori, Henning Müller
Analyzing the Trade-Off Between Training Session Time and Performance in Myoelectric Hand Gesture Recognition During Upper Limb Movement. ICORR (2019)
Stefania Colonnese, Andrea Carlesimo, Lorenzo Brigato, Francesca Cuomo
Qoe-Aware UAV Flight Path Design for Mobile Video Streaming in HetNet. SAM (2018)