Scholar
Mattia Segu
Google Scholar ID: dwX7yWkAAAAJ
ETH Zurich
Citations & Impact
Citations
1,611
H-index
12
i10-index
13
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- [2024/07] 2 papers accepted at ECCV 2024 (Walker and SLAck). [2024/06] Started working as a student researcher in Federico Tombari's team at Google. [2024/02] 3 papers accepted at CVPR 2024 (MASA, UniDepth, and KYN). [2023/09] Presented DARTH at ICCV 2023. [2023/09] Hosted the 1st Workshop on Visual Continual Learning at ICCV 2023.
Research Experience
- Currently a student researcher at Google, contributing to Federico Tombari's team. Has worked at the Max Planck ETH Center for Learning Systems. Research focuses on advancing multiple object tracking methods, foundation models for object tracking and depth estimation.
Education
- PhD candidate at the Computer Vision Lab at ETH Zurich, co-supervised by Prof. Luc Van Gool and Prof. Bernt Schiele. Visited the Computer Vision and Machine Learning Department at the Max Planck Institute for Informatics, working with Prof. Bernt Schiele.
Background
- PhD candidate at the Computer Vision Lab (ETH Zürich), focusing on label-efficient multiple object tracking. Research interests include end-to-end learning from long video sequences, dynamic adaptation, and leveraging limited annotations in a self-supervised fashion.
