Sign in
Mattia Segù
ORCID
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 17
Top Topics
Multiple Object Tracking
Robot Soccer
Action Recognition
Cooperative Learning
Top Venues
CoRR
CVPR
IEEE Robotics Autom. Lett.
Pattern Recognit.
</>
Publications
</>
Qi Fan
,
Mattia Segù
,
Yu-Wing Tai
,
Fisher Yu
,
Chi-Keung Tang
,
Bernt Schiele
,
Dengxin Dai
Towards Robust Object Detection Invariant to Real-World Domain Shifts.
ICLR
(2023)
Mattia Segù
,
Alessio Tonioni
,
Federico Tombari
Batch normalization embeddings for deep domain generalization.
Pattern Recognit.
135 (2023)
Mattia Segù
,
Bernt Schiele
,
Fisher Yu
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking.
ICCV
(2023)
Mattia Segù
,
Bernt Schiele
,
Fisher Yu
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking.
CoRR
(2023)
Zhizheng Liu
,
Mattia Segù
,
Fisher Yu
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking.
CoRR
(2023)
Tao Sun
,
Mattia Segù
,
Janis Postels
,
Yuxuan Wang
,
Luc Van Gool
,
Bernt Schiele
,
Federico Tombari
,
Fisher Yu
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation.
CVPR
(2022)
Muhammad Zaigham Zaheer
,
Arif Mahmood
,
Muhammad Haris Khan
,
Mattia Segù
,
Fisher Yu
,
Seung-Ik Lee
Generative Cooperative Learning for Unsupervised Video Anomaly Detection.
CoRR
(2022)
Janis Postels
,
Mattia Segù
,
Tao Sun
,
Luca Daniel Sieber
,
Luc Van Gool
,
Fisher Yu
,
Federico Tombari
On the Practicality of Deterministic Epistemic Uncertainty.
ICML
(2022)
Tao Sun
,
Mattia Segù
,
Janis Postels
,
Yuxuan Wang
,
Luc Van Gool
,
Bernt Schiele
,
Federico Tombari
,
Fisher Yu
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation.
CoRR
(2022)
Qi Fan
,
Mattia Segù
,
Yu-Wing Tai
,
Fisher Yu
,
Chi-Keung Tang
,
Bernt Schiele
,
Dengxin Dai
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts.
CoRR
(2022)
Muhammad Zaigham Zaheer
,
Arif Mahmood
,
M. Haris Khan
,
Mattia Segù
,
Fisher Yu
,
Seung-Ik Lee
Generative Cooperative Learning for Unsupervised Video Anomaly Detection.
CVPR
(2022)
Janis Postels
,
Mattia Segù
,
Tao Sun
,
Luc Van Gool
,
Fisher Yu
,
Federico Tombari
On the Practicality of Deterministic Epistemic Uncertainty.
CoRR
(2021)
Mattia Segù
,
Margarita Grinvald
,
Roland Siegwart
,
Federico Tombari
3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer.
CoRR
(2020)
Mattia Segù
,
Federico Pirovano
,
Gianmario Fumagalli
,
Amedeo Fabris
Depth-Aware Action Recognition: Pose-Motion Encoding through Temporal Heatmaps.
CoRR
(2020)
Mattia Segù
,
Alessio Tonioni
,
Federico Tombari
Batch Normalization Embeddings for Deep Domain Generalization.
CoRR
(2020)
Antonio Loquercio
,
Mattia Segù
,
Davide Scaramuzza
A General Framework for Uncertainty Estimation in Deep Learning.
IEEE Robotics Autom. Lett.
5 (2) (2020)
Mattia Segù
,
Antonio Loquercio
,
Davide Scaramuzza
A General Framework for Uncertainty Estimation in Deep Learning.
CoRR
(2019)