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Theodor Kapler

3 papers hereh-index 323 citations5 works total

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

author position
  • middle author3

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

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

most citedEfficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation

2 citations · 2 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2024

HoloGS: Instant Depth-based 3D Gaussian Splatting with Microsoft HoloLens 2

Miriam Jäger, Theodor Kapler, Michael Feßenbecker +3

In the fields of photogrammetry, computer vision and computer graphics, the task of neural 3D scene reconstruction has led to the exploration of various techniques. Among these, 3D…

cs.CV2024

A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation

Steven Landgraf, Markus Hillemann, Theodor Kapler +1

Deep neural networks excel in perception tasks such as semantic segmentation and monocular depth estimation, making them indispensable in safety-critical applications like autonomo…

cs.CV2024★ 2 cited

Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation

Steven Landgraf, Markus Hillemann, Theodor Kapler +1

Quantifying the predictive uncertainty emerged as a possible solution to common challenges like overconfidence or lack of explainability and robustness of deep neural networks, alb…

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