Master of Science

• Machine learning and Deep learning. A.A. 2019/20, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Machine learning and Deep learning. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

Bachelor of Science

• Algoritmi e programmazione. A.A. 2020/21, INGEGNERIA INFORMATICA. Collaboratore del corso
• Informatica. A.A. 2019/20, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2020/21, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2021/22, INGEGNERIA AEROSPAZIALE. Collaboratore del corso

• VANDAL - Visual and Multimodal Applied Learning Laboratory

• Gabriele Rosi. Programme in Intelligenza Artificiale (cycle 39, 2023-in progress)

• Cermelli, Fabio (2023)
  Learning New Classes from Limited Data in Image Segmentation and Object Detection. relatore: CAPUTO, BARBARA; , 35. XXXV Ciclo, P.: 135
  Doctoral Thesis
• Cuttano, Claudia; Tavera, Antonio; Cermelli, Fabio; Averta, GIUSEPPE BRUNO; Caputo, ... (2023)
  Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model. In: IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, Paris (FR), 02-06 October 2023, pp. 1404-1414. ISBN: 979-8-3503-0744-3
  Contributo in Atti di Convegno (Proceeding)
• Rai, SHYAM NANDAN; Cermelli, Fabio; Fontanel, Dario; Masone, Carlo; Caputo, Barbara (2023)
  Unmasking Anomalies in Road-Scene Segmentation. In: International Conference on Computer Vision 2023, Paris (FR), 01-06 October 2023, pp. 4014-4023. ISBN: 979-8-3503-0718-4
  Contributo in Atti di Convegno (Proceeding)
• Cermelli, Fabio; Cord, Matthieu; Douillard, Arthur (2023)
  CoMFormer: Continual Learning in Semantic and Panoptic Segmentation. In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver (CAN), 17-24 June 2023, pp. 3010-3020. ISBN: 979-8-3503-0129-8
  Contributo in Atti di Convegno (Proceeding)
• Arnaudo, Edoardo; Cermelli, Fabio; Tavera, Antonio; Rossi, Claudio; Caputo, Barbara (2022)
  A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images. In: International Conference on Image Analysis and Processing, Lecce (IT), 23/05/2022, pp. 742-754
  Contributo in Atti di Convegno (Proceeding)
• Fantauzzo, Lidia; Fani', Eros; Caldarola, Debora; Tavera, Antonio; Cermelli, Fabio; ... (2022)
  FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving. In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto (JPN), 23-27 October 2022, pp. 11504-11511
  Contributo in Atti di Convegno (Proceeding)
• Fontanel, Dario; Cermelli, Fabio; Geraci, Antonino; Musarra, Mauro; Tarantino, Matteo; ... (2022)
  Relaxing the Forget Constraints in Open World Recognition. In: 21st International Conference on Image Analysis and Processing, Lecce (Italy), May 23–27, 2022, pp. 751-763
  Contributo in Atti di Convegno (Proceeding)
• Cermelli, Fabio; Fontanel, Dario; Tavera, Antonio; Ciccone, Marco; Caputo, Barbara (2022)
  Incremental Learning in Semantic Segmentation from Image Labels. In: Conference on Computer Vision and Pattern Recognition 2022, New Orleans, Louisiana (USA), 18-24 June 2022, pp. 4361-4371
  Contributo in Atti di Convegno (Proceeding)
• Cermelli, Fabio; Geraci, Antonino; Fontanel, Dario; Caputo, Barbara (2022)
  Modeling Missing Annotations for Incremental Learning in Object Detection. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, New Orleans (USA), 19-20 June 2022, pp. 3699-3709
  Contributo in Atti di Convegno (Proceeding)
• Fontanel, D.; Cermelli, F.; Mancini, M.; Caputo, B. (2021)
  On the Challenges of Open World Recognition under Shifting Visual Domains. In: IEEE ROBOTICS AND AUTOMATION LETTERS, vol. 6, pp. 604-611. ISSN 2377-3766
  Contributo su Rivista
• Cermelli, Fabio; Mancini, Massimiliano; Xian, Yongqin; Akata, Zeynep; Caputo, Barbara (2021)
  Prototype-based Incremental Few-Shot Segmentation. In: 32nd British Machine Vision Conference 2021, BMVC 2021, Online, Novembre 2021
  Contributo in Atti di Convegno (Proceeding)
• Pastore, Giuseppe; Cermelli, Fabio; Xian, Yongqin; Mancini, Massimiliano; Akata, Zeynep; ... (2021)
  A Closer Look at Self-training for Zero-Label Semantic Segmentation. In: Learning from Limited and Imperfect Data (L2ID) Workshop & Challenges, pp. 2693-2702
  Contributo in Atti di Convegno (Proceeding)
• Cermelli, F.; Mancini, M.; Rota Bulo, S.; Ricci, E.; Caputo, B. (2021)
  Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation. In: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 44, pp. 10099-10113. ISSN 0162-8828
  Contributo su Rivista
• Cermelli, Fabio; Mancini, Massimiliano; Rota Bulò, Samuel; Ricci, Elisa; Caputo, Barbara (2020)
  Modeling the Background for Incremental Learning in Semantic Segmentation. In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Seattle (USA), June 14-19 2020, pp. 9230-9239
  Contributo in Atti di Convegno (Proceeding)
• Fontanel, Dario; Cermelli, Fabio; Mancini, Massimiliano; Rota Bulò, Samuel; Ricci, ... (2020)
  Boosting Deep Open World Recognition by Clustering. In: IEEE ROBOTICS AND AUTOMATION LETTERS, vol. 5, pp. 5985-5992. ISSN 2377-3766
  Contributo su Rivista
• Cermelli, Fabio; Mancini, Massimiliano; Ricci, Elisa; Caputo, Barbara (2019)
  The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), MACAU, CHINA, 3-8 Nov. 2019, pp. 6097-6104
  Contributo in Atti di Convegno (Proceeding)

• Metodo e algoritmo per la progettazione automatica di reti neurali tramite machine learning. national Patent
  Inventors: Giuseppe Bruno Averta Barbara Caputo Carlo Masone