Mattia Segù

According to our database, Mattia Segù authored at least 22 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection.

Yung-Hsu Yang, Luigi Piccinelli, Mattia Segù, Siyuan Li, Rui Huang, Yuqian Fu, Marc Pollefeys, Hermann Blum, Zuria Bauer

CoRR, July, 2025

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler.

Luigi Piccinelli, Christos Sakaridis, Yung-Hsu Yang, Mattia Segù, Siyuan Li, Wim Abbeloos, Luc Van Gool

CoRR, February, 2025

Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking.

Mattia Segù, Luigi Piccinelli, Siyuan Li, Yung-Hsu Yang, Luc Van Gool, Bernt Schiele

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation.

Reza Qorbani, Gianluca Villani, Theodoros Panagiotakopoulos, Marc Botet Colomer, Linus Härenstam-Nielsen, Mattia Segù, Pier Luigi Dovesi, Jussi Karlgren, Daniel Cremers, Federico Tombari, Matteo Poggi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

UniK3D: Universal Camera Monocular 3D Estimation.

Luigi Piccinelli, Christos Sakaridis, Mattia Segù, Yung-Hsu Yang, Siyuan Li, Wim Abbeloos, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs.

Mattia Segù, Luigi Piccinelli, Siyuan Li, Luc Van Gool, Fisher Yu, Bernt Schiele

Proceedings of the Computer Vision - ECCV 2024, 2024

SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking.

Siyuan Li, Lei Ke, Yung-Hsu Yang, Luigi Piccinelli, Mattia Segù, Martin Danelljan, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2024, 2024

UniDepth: Universal Monocular Metric Depth Estimation.

Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segù, Siyuan Li, Luc Van Gool, Fisher Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Matching Anything by Segmenting Anything.

Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segù, Luc Van Gool, Fisher Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning.

Rui Li, Tobias Fischer, Mattia Segù, Marc Pollefeys, Luc Van Gool, Federico Tombari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Batch normalization embeddings for deep domain generalization.

Mattia Segù, Alessio Tonioni, Federico Tombari

Pattern Recognit., 2023

Towards Robust Object Detection Invariant to Real-World Domain Shifts.

Qi Fan, Mattia Segù, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DARTH: Holistic Test-time Adaptation for Multiple Object Tracking.

Mattia Segù, Bernt Schiele, Fisher Yu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking.

Zhizheng Liu, Mattia Segù, Fisher Yu

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022

Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts.

Qi Fan, Mattia Segù, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai

CoRR, 2022

On the Practicality of Deterministic Epistemic Uncertainty.

Janis Postels, Mattia Segù, Tao Sun, Luca Daniel Sieber, Luc Van Gool, Fisher Yu, Federico Tombari

Proceedings of the International Conference on Machine Learning, 2022

Generative Cooperative Learning for Unsupervised Video Anomaly Detection.

Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation.

Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

On the Practicality of Deterministic Epistemic Uncertainty.

Janis Postels, Mattia Segù, Tao Sun, Luc Van Gool, Fisher Yu, Federico Tombari

CoRR, 2021

2020

A General Framework for Uncertainty Estimation in Deep Learning.

Antonio Loquercio, Mattia Segù, Davide Scaramuzza

IEEE Robotics Autom. Lett., 2020

Depth-Aware Action Recognition: Pose-Motion Encoding through Temporal Heatmaps.

Mattia Segù, Federico Pirovano, Gianmario Fumagalli, Amedeo Fabris

CoRR, 2020

3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer.

Mattia Segù, Margarita Grinvald, Roland Siegwart, Federico Tombari

CoRR, 2020