Lomonaco, V.
* 2016: Semi-supervised tuning from temporal coherence
* 2020: Continual Reinforcement Learning in 3D Non-stationary Environments
* 2020: Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
* 2021: Avalanche: an End-to-End Library for Continual Learning
* 2022: Avalanche RL: A Continual Reinforcement Learning Library
* 2022: CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions
* 2022: Ex-Model: Continual Learning from a Stream of Trained Models
* 2022: Practical Recommendations for Replay-Based Continual Learning Methods
* 2022: Towards lifelong object recognition: A dataset and benchmark
* 2023: Comprehensive Empirical Evaluation on Online Continual Learning, A
* 2023: Memory Population in Continual Learning via Outlier Elimination
Includes: Lomonaco, V. Lomonaco, V.[Vincenzo]
11 for Lomonaco, V.
Lomonosov, E.[Evgeny]
* 2006: Pre-registration of arbitrarily oriented 3D surfaces using a genetic algorithm
Lomont, C.
* 2003: Quantum image processing (QuIP)
Lomov, N.
* 2017: Morphological Moments of Binary Images
* 2019: Neural Networks for Shape Recognition By Medial Representation
Lomov, S.V.[Stepan V.]
* 2014: Analysis and Segmentation of a Three-Dimensional X-ray Computed Tomography Image of a Textile Composite