On the effectiveness of partial variance reduction in federated learning with heterogeneous data B Li, MN Schmidt, TS Alstrøm, SU Stich Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 48* | 2023 |
Decoupled appearance and motion learning for efficient anomaly detection in surveillance video B Li, S Leroux, P Simoens Computer Vision and Image Understanding 210, 103249, 2021 | 36 | 2021 |
Multi-branch neural networks for video anomaly detection in adverse lighting and weather conditions S Leroux, B Li, P Simoens Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 24 | 2022 |
On uncertainty estimation in active learning for image segmentation B Li, TS Alstrøm arXiv preprint arXiv:2007.06364, 2020 | 20 | 2020 |
Raman spectrum matching with contrastive representation learning B Li, MN Schmidt, TS Alstrøm Analyst 147 (10), 2238-2246, 2022 | 18 | 2022 |
Nitroaromatic explosives’ detection and quantification using an attention-based transformer on surface-enhanced Raman spectroscopy maps B Li, G Zappalá, E Dumont, A Boisen, T Rindzevicius, MN Schmidt, ... Analyst 148 (19), 4787-4798, 2023 | 9 | 2023 |
Automated training of location-specific edge models for traffic counting S Leroux, B Li, P Simoens Computers and Electrical Engineering 99, 107763, 2022 | 7 | 2022 |
Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity B Li, Y Esfandiari, MN Schmidt, TS Alstrøm, SU Stich arXiv preprint arXiv:2306.13263, 2023 | 4 | 2023 |
Precision and Trust: Algorithms for Substance Identification and Collaborative Learning B Li Technical University of Denmark, 2024 | | 2024 |
An improved analysis of per-sample and per-update clipping in federated learning B Li, X Jiang, MN Schmidt, TS Alstrøm, SU Stich The Twelfth International Conference on Learning Representations, 2024 | | 2024 |