Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 37th cycle (2021-2024)
Department of Control and Computer Engineering (DAUIN)
Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Tutors
Teaching
Teachings
Master of Science
- Machine learning and Deep learning. A.A. 2021/22, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Bachelor of Science
- Algoritmi e strutture dati. A.A. 2023/24, INGEGNERIA INFORMATICA. Collaboratore del corso
- Informatica. A.A. 2022/23, INGEGNERIA GESTIONALE. Collaboratore del corso
Research
Research groups
Publications
Latest publications View all publications in Porto@Iris
- Loghmani Mohammad, Reza; Robbiano, Luca; Planamente, Mirco; Park, Kiru; Caputo, Barbara; ... (In stampa)
Unsupervised Domain Adaptation Through Inter-Modal Rotation for RGB-D Object Recognition. In: 2020 IEEE/RSJ International Conference on Intelligent Robots and System (IROS), Las Vegas, USA, 25-29 Ottobre
Contributo in Atti di Convegno (Proceeding) - Cavagnero, Niccolo'; Robbiano, Luca; Pistilli, Francesca; Caputo, Barbara; Averta, ... (2023)
Entropic Score Metric: Decoupling Topology and Size in Training-Free NAS. In: IEEE/CVF International Conference on Computer Vision, Paris (FR), 02-06 October 2023, pp. 1451-1460. ISBN: 979-8-3503-0744-3
Contributo in Atti di Convegno (Proceeding) - Cavagnero, Niccolo; Robbiano, Luca; Caputo, Barbara; Averta, Giuseppe (2023)
FreeREA: Training-Free Evolution-based Architecture Search. In: WACV 2023, Waikoloa (USA), 02-07 January 2023, pp. 1493-1502
Contributo in Atti di Convegno (Proceeding) - Robbiano, L; Rahman, Mru; Galasso, F; Caputo, B; Carlucci, Fm (2022)
Adversarial Branch Architecture Search for Unsupervised Domain Adaptation. In: WACV 2022, Waikoloa (USA), 03-08 January 2022, pp. 1008-1018. ISBN: 978-1-6654-0915-5
Contributo in Atti di Convegno (Proceeding) - Loghmani, M. R.; Robbiano, L.; Planamente, M.; Park, K.; Caputo, B.; Vincze, M. (2020)
Unsupervised Domain Adaptation through Inter-Modal Rotation for RGB-D Object Recognition. In: IEEE ROBOTICS AND AUTOMATION LETTERS, vol. 5, pp. 6631-6638. ISSN 2377-3766
Contributo su Rivista