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Massimiliano Mancini
Massimiliano Mancini
University of Trento
Adresă de e-mail confirmată pe unitn.it - Pagina de pornire
Titlu
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Citat de
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Modeling the Background for Incremental Learning in Semantic Segmentation
F Cermelli, M Mancini, SR Bulo, E Ricci, B Caputo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
3462020
Boosting Domain Adaptation by Discovering Latent Domains
M Mancini, L Porzi, SR Bulò, B Caputo, E Ricci
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
1862018
Best Sources Forward: Domain Generalization through Source-Specific Nets
M Mancini, SR Bulò, B Caputo, E Ricci
IEEE International Conference on Image Processing (ICIP), 2018
1792018
Open World Compositional Zero-Shot Learning
M Mancini, MF Naeem, Y Xian, Z Akata
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
1552021
Semi-supervised and unsupervised deep visual learning: A survey
Y Chen, M Mancini, X Zhu, Z Akata
IEEE transactions on pattern analysis and machine intelligence 46 (3), 1327-1347, 2022
1372022
Towards recognizing unseen categories in unseen domains
M Mancini, Z Akata, E Ricci, B Caputo
European Conference on Computer Vision, 466-483, 2020
1082020
Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
M Mancini, J Camacho-Collados, I Iacobacci, R Navigli
Proceedings of the 21st Conference on Computational Natural Language …, 2017
1082017
Cluster-driven Graph Federated Learning over Multiple Domains
D Caldarola, M Mancini, F Galasso, M Ciccone, E Rodolà, B Caputo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1012021
AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs
M Mancini, SR Bulò, B Caputo, E Ricci
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
912019
Learning graph embeddings for open world compositional zero-shot learning
M Mancini, MF Naeem, Y Xian, Z Akata
IEEE Transactions on pattern analysis and machine intelligence 46 (3), 1545-1560, 2022
872022
Robust Place Categorization with Deep Domain Generalization
M Mancini, SR Bulo, B Caputo, E Ricci
IEEE Robotics and Automation Letters 3 (3), 2093-2100, 2018
712018
A Closer Look at Self-training for Zero-Label Semantic Segmentation
G Pastore, F Cermelli, Y Xian, M Mancini, Z Akata, B Caputo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
682021
Kitting in the Wild through Online Domain Adaptation
M Mancini, H Karaoguz, E Ricci, P Jensfelt, B Caputo
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
662018
Adding New Tasks to a Single Network with Weight Transformations Using Binary Masks
M Mancini, E Ricci, B Caputo, SR Bulò
The European Conference on Computer Vision (ECCV) Workshops, 2018
632018
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning
S Karthik, M Mancini, Z Akata
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
552022
Attention Consistency on Visual Corruptions for Single-Source Domain Generalization
I Cugu, M Mancini, Y Chen, Z Akata
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
552022
Vision-by-Language for Training-Free Compositional Image Retrieval
S Karthik, K Roth, M Mancini, Z Akata
The Twelfth International Conference on Learning Representations, 2024
462024
Learning Deep NBNN Representations for Robust Place Categorization
M Mancini, S Rota Bulò, E Ricci, B Caputo
IEEE Robotics and Automation Letters 2 (3), 1794-1801, 2017
462017
Prototype-based Incremental Few-Shot Semantic Segmentation
F Cermelli, M Mancini, Y Xian, Z Akata, B Caputo
British Machine Vision Conference (BMVC), 2021
382021
Inferring Latent Domains for Unsupervised Deep Domain Adaptation
M Mancini, L Porzi, SR Bulo, B Caputo, E Ricci
IEEE transactions on pattern analysis and machine intelligence, 2019
352019
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