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researcher

Federico Tombari

Google

77 papers hereh-index 5919.7k citations218 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author30
  • last author46

Across the 76 of 77 papers where every author was matched, so the position is known.

fields
  • cs.CV66
  • cs.LG5
  • cs.RO4
  • stat.ML2
affiliations
  • Google
  • TUM
Homepage
same name
  • Federico Tombari — 69 papers, h 26
  • Federico Tombari — 41 papers, h 18
  • Federico Tombari — 34 papers, h 16
  • Federico Tombari — 10 papers, h 5
  • Federico Tombari — 10 papers, h 2
  • Federico Tombari — 9 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162025
most citedCNN-SLAM: Real-time dense monocular SLAM with learned depth prediction

69 citations · 626 across the 60 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2023★ 1 cited

SG-Bot: Object Rearrangement via Coarse-to-Fine Robotic Imagination on Scene Graphs

Guangyao Zhai, Xiaoni Cai, Dianye Huang +5

Object rearrangement is pivotal in robotic-environment interactions, representing a significant capability in embodied AI. In this paper, we present SG-Bot, a novel rearrangement f…

cs.RO2020

RGB-D SLAM with Structural Regularities

Yanyan Li, Raza Yunus, Nikolas Brasch +2

This work proposes a RGB-D SLAM system specifically designed for structured environments and aimed at improved tracking and mapping accuracy by relying on geometric features that a…

cs.RO2020★ 32 cited

Co-Planar Parametrization for Stereo-SLAM and Visual-Inertial Odometry

Xin Li, Yanyan Li, Evin Pınar Örnek +2

This work proposes a novel SLAM framework for stereo and visual inertial odometry estimation. It builds an efficient and robust parametrization of co-planar points and lines which…

cs.RO2020★ 5 cited

Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments

Yanyan Li, Nikolas Brasch, Yida Wang +2

In this paper a low-drift monocular SLAM method is proposed targeting indoor scenarios, where monocular SLAM often fails due to the lack of textured surfaces. Our approach decouple…

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