Paper 'MeshVPR: Citywide Visual Place Recognition Using 3D Meshes' accepted to ECCV 2024; paper 'Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation' accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence; nominated as Outstanding Reviewer for CVPR for three consecutive years.
Research Experience
From 2009 to 2017, worked on model-based shared control and planning for various robotics platforms at the Max Planck Institute for Biological Cybernetics. From 2017 to 2020, worked as an autonomous driving specialist at Italdesign, contributing to projects like Pop.Up Next and WheeM-i.
Education
From 2009 to 2017, he was a researcher at the Autonomous Robotics and Human Machine Systems group within the Max Planck Institute for Biological Cybernetics in Tübingen, Germany, starting as a visiting master and ending as a Postdoc.
Background
Research interests span machine learning, computer vision, and robotics. Focuses on spatial intelligence, particularly localization and fine-grained understanding. Also works on reliable machine learning, distributed machine learning, edge machine learning, and continuous functional learning.