Federico Tombari
Federico Tombari is a Senior Staff Research Scientist and manager at Google, where he leads an applied research team on computer vision and machine learning. He is also a Lecturer (PrivatDozent) at the Technical University of Munich (TUM). He has 200+ peer-reviewed publications in the field of 3D computer vision and machine learning and their applications to robotics, autonomous driving, healthcare and augmented reality. He got his PhD in 2009 from the University of Bologna and his Habilitation from TUM in 2018. In 2018-19 he was co-founder and managing director of Pointu3D, a Munich-based startup on 3D perception for AR and robotics. He regularly serves as Chair and Ass. Editor for international conferences and journals in the field (ECCV18, 3DV19, ICMVA19, 3DV20, IROS20, ICRA20, RA-L among others). He was the recipient, among others, of two Google Faculty Research Awards (in 2015 and 2018), an Amazon Research Award (in 2017), 2 CVPR Outstanding Reviewer Awards (2017, 2018).
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Google
I know what I don't know: improving model cascades through confidence tuning
Stephan Rabanser
Nathalie Rauschmayr
Petra Poklukar
Congchao Wang
2025
TOKENFORMER: Rethinking Transformers Scaling with Tokenized Model Parameters
Haiyang Wang
Fan Yue
Jan Eric Lenssen
Liwei Wang
Bernt Schiele
2025
TextMesh: Generation of Realistic 3D Meshes From Text Prompts
Christina Tsalicoglou
Fabian Manhardt
Michael Niemeyer
3DV 2024 (2024)
SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes
Delitzas Alexandros
Ayça Takmaz
Marc Pollefeys
Francis Engelmann
CVPR (2024) (to appear)
LatentSwap3D: Swapping Latent Codes for Semantic Edits
Enis Simsar
Evin Pınar Örnek
Proceedings of the IEEE/CVF International Conference on Computer Vision (2023)
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Andy Zeng
Brian Ichter
Stefan Welker
Aveek Purohit
Michael Ryoo
Pete Florence
arXiv (2022)
