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researcher

Matthias Müller

15 papers hereh-index 166.2k citations21 works total

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

author position
  • first author5
  • middle author10

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.RO5
  • cs.LG3
same name
  • Matthias Müller — 5 papers, h 0
  • Matthias Müller — 3 papers, h 0
  • Matthias Müller — 2 papers, h 3
  • Matthias Müller — 2 papers, h 2
  • Matthias Müller — 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
20172024
most citedLearning High-Speed Flight in the Wild

351 citations · 1.1k across the 12 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018★ 14 cited

SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications

Abdullah Hamdi, Matthias Müller, Bernard Ghanem

One major factor impeding more widespread adoption of deep neural networks (DNNs) is their lack of robustness, which is essential for safety-critical applications such as autonomou…

cs.RO2018★ 178 cited

Driving Policy Transfer via Modularity and Abstraction

Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem +1

End-to-end approaches to autonomous driving have high sample complexity and are difficult to scale to realistic urban driving. Simulation can help end-to-end driving systems by pro…

cs.CV2018★ 49 cited

TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild

Matthias Müller, Adel Bibi, Silvio Giancola +2

Despite the numerous developments in object tracking, further development of current tracking algorithms is limited by small and mostly saturated datasets. As a matter of fact, dat…

cs.CV2018★ 5 cited

OIL: Observational Imitation Learning

Guohao Li, Matthias Müller, Vincent Casser +3

Recent work has explored the problem of autonomous navigation by imitating a teacher and learning an end-to-end policy, which directly predicts controls from raw images. However, t…

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