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researcher

Gerhard Reitmayr

4 papers hereh-index 385.6k citations118 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.RO1
same name
  • Gerhard Reitmayr — 1 paper, 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
20102023
most citedImproved RANSAC performance using simple, iterative minimal-set solvers

13 citations · 15 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023

PVP: Personalized Video Prior for Editable Dynamic Portraits using StyleGAN

Kai-En Lin, Alex Trevithick, Keli Cheng +5

Portrait synthesis creates realistic digital avatars which enable users to interact with others in a compelling way. Recent advances in StyleGAN and its extensions have shown promi…

cs.CV2022

DIREG3D: DIrectly REGress 3D Hands from Multiple Cameras

Ashar Ali, Upal Mahbub, Gokce Dane +1

In this paper, we present DIREG3D, a holistic framework for 3D Hand Tracking. The proposed framework is capable of utilizing camera intrinsic parameters, 3D geometry, intermediate…

cs.RO2017★ 2 cited

An End-to-End System for Crowdsourced 3d Maps for Autonomous Vehicles: The Mapping Component

Onkar Dabeer, Radhika Gowaikar, Slawomir K. Grzechnik +5

Autonomous vehicles rely on precise high definition (HD) 3d maps for navigation. This paper presents the mapping component of an end-to-end system for crowdsourcing precise 3d maps…

cs.CV2010★ 13 cited

Improved RANSAC performance using simple, iterative minimal-set solvers

Edward Rosten, Gerhard Reitmayr, Tom Drummond

RANSAC is a popular technique for estimating model parameters in the presence of outliers. The best speed is achieved when the minimum possible number of points is used to estimate…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.