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Lorenzo Pellegrini
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Journal Articles
- 2024
- [j7]Pietro Melzi
, Ruben Tolosana
FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems. Inf. Fusion 107: 102322 (2024) - 2023
- [j6]Lorenzo Pellegrini
A weakly supervised approach for recycling code recognition. Expert Syst. Appl. 215: 119282 (2023) - [j5]Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati, Vincenzo Lomonaco:
Avalanche: A PyTorch Library for Deep Continual Learning. J. Mach. Learn. Res. 24: 363:1-363:6 (2023) - [j4]Gabriele Graffieti
Generative negative replay for continual learning. Neural Networks 162: 369-383 (2023) - 2022
- [j3]Vincenzo Lomonaco
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. Artif. Intell. 303: 103635 (2022) - [j2]Andrea Cossu
Is Class-Incremental Enough for Continual Learning? Frontiers Artif. Intell. 5: 829842 (2022) - 2020
- [j1]Heechul Bae, Eoin Brophy, Rosa H. M. Chan, Baoquan Chen, Fan Feng
IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions]. IEEE Robotics Autom. Mag. 27(2): 11-16 (2020)
Conference and Workshop Papers
- 2024
- [c8]Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme P. Fickel, Gustavo Führ, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi-Shahreza, Parsa Rahimi, Sébastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolò Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Ángela Sánchez-Pérez, Andrea Atzori
FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. WACV (Workshops) 2024: 892-901 - 2023
- [c7]Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth:
Class-Incremental Learning with Repetition. CoLLAs 2023: 437-455 - [c6]Lorenzo Pellegrini, Guido Borghi, Annalisa Franco, Davide Maltoni:
Detecting Morphing Attacks via Continual Incremental Training. IJCB 2023: 1-10 - 2021
- [c5]Vincenzo Lomonaco
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 2021: 3600-3610 - [c4]Lorenzo Pellegrini
Continual Learning at the Edge: Real-Time Training on Smartphone Devices. ESANN 2021 - 2020
- [c3]Vincenzo Lomonaco
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches. CVPR Workshops 2020: 989-998 - [c2]Lorenzo Pellegrini
Latent Replay for Real-Time Continual Learning. IROS 2020: 10203-10209 - [c1]Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi
Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node. SiPS 2020: 1-6
Informal and Other Publications
- 2024
- [i17]Davide Maltoni, Lorenzo Pellegrini:
Continual Learning by Three-Phase Consolidation. CoRR abs/2403.14679 (2024) - [i16]Hamed Hemati, Lorenzo Pellegrini, Xiaotian Duan, Zixuan Zhao, Fangfang Xia, Marc Masana, Benedikt Tscheschner, Eduardo Veas, Yuxiang Zheng, Shiji Zhao, Shao-Yuan Li, Sheng-Jun Huang, Vincenzo Lomonaco, Gido M. van de Ven:
Continual Learning in the Presence of Repetition. CoRR abs/2405.04101 (2024) - 2023
- [i15]Vincenzo Lomonaco, Lorenzo Pellegrini, Gabriele Graffieti, Davide Maltoni:
Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual Learning. CoRR abs/2301.02464 (2023) - [i14]Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth:
Class-Incremental Learning with Repetition. CoRR abs/2301.11396 (2023) - [i13]Antonio Carta
Avalanche: A PyTorch Library for Deep Continual Learning. CoRR abs/2302.01766 (2023) - [i12]Lorenzo Pellegrini, Guido Borghi, Annalisa Franco, Davide Maltoni:
Detecting Morphing Attacks via Continual Incremental Training. CoRR abs/2307.15105 (2023) - [i11]Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiaoyu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama
FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data. CoRR abs/2311.10476 (2023) - 2022
- [i10]Gabriele Graffieti, Davide Maltoni, Lorenzo Pellegrini, Vincenzo Lomonaco:
Generative Negative Replay for Continual Learning. CoRR abs/2204.05842 (2022) - [i9]Lorenzo Pellegrini
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. CoRR abs/2212.06833 (2022) - 2021
- [i8]Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper
Avalanche: an End-to-End Library for Continual Learning. CoRR abs/2104.00405 (2021) - [i7]Lorenzo Pellegrini, Vincenzo Lomonaco, Gabriele Graffieti, Davide Maltoni:
Continual Learning at the Edge: Real-Time Training on Smartphone Devices. CoRR abs/2105.13127 (2021) - [i6]Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco:
Is Class-Incremental Enough for Continual Learning? CoRR abs/2112.02925 (2021) - 2020
- [i5]Qi She, Fan Feng, Qi Liu, Rosa H. M. Chan, Xinyue Hao, Chuanlin Lan, Qihan Yang, Vincenzo Lomonaco, German Ignacio Parisi, Heechul Bae, Eoin Brophy, Baoquan Chen, Gabriele Graffieti, Vidit Goel, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Liang Ma, Davide Maltoni, Lorenzo Pellegrini, Duvindu Piyasena, Shiliang Pu, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qiaoyong Zhong, Liguang Zhou:
IROS 2019 Lifelong Robotic Vision Challenge - Lifelong Object Recognition Report. CoRR abs/2004.14774 (2020) - [i4]Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi, Francesco Conti, Lorenzo Pellegrini, Vincenzo Lomonaco, Davide Maltoni, Luca Benini:
Memory-Latency-Accuracy Trade-offs for Continual Learning on a RISC-V Extreme-Edge Node. CoRR abs/2007.13631 (2020) - [i3]Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni:
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions. CoRR abs/2009.09929 (2020) - 2019
- [i2]Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini:
Fine-Grained Continual Learning. CoRR abs/1907.03799 (2019) - [i1]Lorenzo Pellegrini, Gabriele Graffieti, Vincenzo Lomonaco, Davide Maltoni:
Latent Replay for Real-Time Continual Learning. CoRR abs/1912.01100 (2019)
Coauthor Index
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