Mattia Segù

965 total citations
12 papers, 544 citations indexed

About

Mattia Segù is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Mattia Segù has authored 12 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 2 papers in Aerospace Engineering. Recurrent topics in Mattia Segù's work include Domain Adaptation and Few-Shot Learning (4 papers), Advanced Vision and Imaging (3 papers) and Video Surveillance and Tracking Methods (3 papers). Mattia Segù is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Advanced Vision and Imaging (3 papers) and Video Surveillance and Tracking Methods (3 papers). Mattia Segù collaborates with scholars based in Switzerland, United States and Germany. Mattia Segù's co-authors include Antonio Loquercio, Davide Scaramuzza, Federico Tombari, Fisher Yu, Alessio Tonioni, Muhammad Haris Khan, Arif Mahmood, Seung‐Ik Lee, Muhammad Zaigham Zaheer and Luc Van Gool and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Mattia Segù

9 papers receiving 528 citations

Peers

Mattia Segù
Fang Mei China
M. Gorgoń Poland
Mehmet Çelenk United States
Ajay J. Joshi United States
Mattia Segù
Citations per year, relative to Mattia Segù Mattia Segù (= 1×) peers Bangalore Ravi Kiran

Countries citing papers authored by Mattia Segù

Since Specialization
Citations

This map shows the geographic impact of Mattia Segù's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mattia Segù with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mattia Segù more than expected).

Fields of papers citing papers by Mattia Segù

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mattia Segù. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mattia Segù. The network helps show where Mattia Segù may publish in the future.

Co-authorship network of co-authors of Mattia Segù

This figure shows the co-authorship network connecting the top 25 collaborators of Mattia Segù. A scholar is included among the top collaborators of Mattia Segù based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mattia Segù. Mattia Segù is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Fan, Qi, Mattia Segù, Bernt Schiele, et al.. (2025). Robust Object Detection with Domain-Invariant Training and Continual Test-Time Adaptation. International Journal of Computer Vision. 133(10). 6768–6793.
2.
Segù, Mattia, et al.. (2025). Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 9804–9815.
3.
Sakaridis, Christos, et al.. (2025). UniK3D: Universal Camera Monocular 3D Estimation. 1028–1039. 1 indexed citations
4.
Sakaridis, Christos, et al.. (2025). UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(3). 2354–2367. 2 indexed citations
5.
Sakaridis, Christos, et al.. (2024). UniDepth: Universal Monocular Metric Depth Estimation. 10106–10116. 32 indexed citations
6.
Li, Siyuan, et al.. (2024). Matching Anything by Segmenting Anything. 18963–18973. 9 indexed citations
7.
Fischer, Tobias, et al.. (2024). Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning. 9848–9858. 3 indexed citations
8.
Segù, Mattia, Bernt Schiele, & Fisher Yu. (2023). DARTH: Holistic Test-time Adaptation for Multiple Object Tracking. 9683–9693. 5 indexed citations
9.
Segù, Mattia, Alessio Tonioni, & Federico Tombari. (2022). Batch normalization embeddings for deep domain generalization. Pattern Recognition. 135. 109115–109115. 88 indexed citations
10.
Sun, Tao, Mattia Segù, Yuxuan Wang, et al.. (2022). SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 21339–21350. 91 indexed citations
11.
Zaheer, Muhammad Zaigham, Arif Mahmood, Muhammad Haris Khan, et al.. (2022). Generative Cooperative Learning for Unsupervised Video Anomaly Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14724–14734. 131 indexed citations
12.
Loquercio, Antonio, Mattia Segù, & Davide Scaramuzza. (2020). A General Framework for Uncertainty Estimation in Deep Learning. Zurich Open Repository and Archive (University of Zurich). 182 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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