| A general framework for uncertainty estimation in deep learning A Loquercio*, M Segu*, D Scaramuzza IEEE Robotics and Automation Letters 5 (2), 3153-3160, 2020 | 343 | 2020 |
| Generative Cooperative Learning for Unsupervised Video Anomaly Detection MZ Zaheer, A Mahmood, MH Khan, M Segu, F Yu, SI Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 112 | 2022 |
| Batch Normalization Embeddings for Deep Domain Generalization M Segu, A Tonioni, F Tombari Pattern Recognition 135, 109115, 2023 | 105 | 2023 |
| SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation T Sun*, M Segu*, J Postels, Y Wang, L Van Gool, B Schiele, F Tombari, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 91 | 2022 |
| On the Practicality of Deterministic Epistemic Uncertainty J Postels*, M Segu*, T Sun, L Van Gool, F Yu, F Tombari International Conference on Machine Learning, 2022 | 56 | 2022 |
| 3DSNet: Unsupervised shape-to-shape 3D style transfer M Segu, M Grinvald, R Siegwart, F Tombari arXiv preprint arXiv:2011.13388, 2020 | 26 | 2020 |
| Towards Robust Object Detection Invariant to Real-World Domain Shifts Q Fan, M Segu, YW Tai, F Yu, CK Tang, B Schiele, D Dai The Eleventh International Conference on Learning Representations, 2023 | 16 | 2023 |
| Normalization perturbation: A simple domain generalization method for real-world domain shifts Q Fan, M Segu, YW Tai, F Yu, CK Tang, B Schiele, D Dai arXiv preprint arXiv:2211.04393, 2022 | 7 | 2022 |
| Darth: holistic test-time adaptation for multiple object tracking M Segu, B Schiele, F Yu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| Depth-aware action recognition: Pose-motion encoding through temporal heatmaps M Segu, F Pirovano, G Fumagalli, A Fabris arXiv preprint arXiv:2011.13399, 2020 | 5 | 2020 |
| Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning R Li, T Fischer, M Segu, M Pollefeys, L Van Gool, F Tombari Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| UniDepth: Universal Monocular Metric Depth Estimation L Piccinelli, YH Yang, C Sakaridis, M Segu, S Li, L Van Gool, F Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking Z Liu*, M Segu*, F Yu 45th DAGM German Conference, DAGM GCPR 2023 (Oral), 2023 | 1 | 2023 |
| Matching Anything by Segmenting Anything S Li, L Ke, M Danelljan, L Piccinelli, M Segu, L Van Gool, F Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Domain Generalization via Batch Normalization Statistics M Segù, F Tombari, A Tonioni US Patent App. 17/909,545, 2023 | | 2023 |
| On the Calibration of Deterministic Epistemic Uncertainty J Postels, M Segu, T Sun, L Van Gool, F Yu, F Tombari ICML 2021 Workshop on Uncertainty and Robustness in Deep Learning, 2021 | | 2021 |
| Matching Anything by Segmenting Anything—–Supplementary Material—– S Li, L Ke, M Danelljan, L Piccinelli, M Segu, L Van Gool, F Yu | | |
| UniDepth: Universal Monocular Metric Depth Estimation Supplementary Material L Piccinelli, YH Yang, C Sakaridis, M Segu, S Li, L Van Gool, F Yu | | |
Federico TombariGoogle, TU Munich在 in.tum.de 的电子邮件经过验证
