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researcher

Klaus Illgner-Fehns

4 papers here

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
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedExpanding Synthetic Real-World Degradations for Blind Video Super Resolution

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2023★ 1 cited

Expanding Synthetic Real-World Degradations for Blind Video Super Resolution

Mehran Jeelani, Sadbhawna, Noshaba Cheema +3

Video super-resolution (VSR) techniques, especially deep-learning-based algorithms, have drastically improved over the last few years and shown impressive performance on synthetic…

cs.CV2023

Edge-aware Consistent Stereo Video Depth Estimation

Elena Kosheleva, Sunil Jaiswal, Faranak Shamsafar +3

Video depth estimation is crucial in various applications, such as scene reconstruction and augmented reality. In contrast to the naive method of estimating depths from images, a m…

cs.CV2023

High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation

Aakash Rajpal, Noshaba Cheema, Klaus Illgner-Fehns +2

Accurate depth maps are essential in various applications, such as autonomous driving, scene reconstruction, point-cloud creation, etc. However, monocular-depth estimation (MDE) al…

cs.CV2023

Leveraging Multi-view Data for Improved Detection Performance: An Industrial Use Case

Faranak Shamsafar, Sunil Jaiswal, Benjamin Kelkel +2

Printed circuit boards (PCBs) are essential components of electronic devices, and ensuring their quality is crucial in their production. However, the vast variety of components and…

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