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Mattia Segu
Mattia Segu
Verified email at ethz.ch - Homepage
Title
Cited by
Cited by
Year
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
3092020
Batch Normalization Embeddings for Deep Domain Generalization
M Segu, A Tonioni, F Tombari
Pattern Recognition 135, 109115, 2023
932023
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
832022
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
742022
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
432022
3DSNet: Unsupervised shape-to-shape 3D style transfer
M Segu, M Grinvald, R Siegwart, F Tombari
arXiv preprint arXiv:2011.13388, 2020
252020
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
102023
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
62022
Depth-aware action recognition: Pose-motion encoding through temporal heatmaps
M Segu, F Pirovano, G Fumagalli, A Fabris
arXiv preprint arXiv:2011.13399, 2020
52020
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
22023
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
12023
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
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Articles 1–13