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Steven Landgraf — most-cited papers & profile · Computer Vision
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overview
Steven Landgraf
10
papers ·
17
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Segmentation of Industrial Burner Flames: A Comparative Study from Traditional Image Processing to Machine and Deep Learning
2023 · 7 citations
Density Uncertainty Quantification with NeRF-Ensembles: Impact of Data and Scene Constraints
2023 · 4 citations
DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation
2023 · 2 citations
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
2023 · 2 citations
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation
2024 · 2 citations
Beyond Model Size: Probing the Gaps in Visual in-Context Learning by Training a Tiny Model
2026
Uncertainty Quality of VGGT: An Analysis on the DTU Benchmark Dataset
2026
An Evaluation of DUSt3R/MASt3R/VGGT 3D Reconstruction on Photogrammetric Aerial Blocks
2025
Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness
2025
A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation
2024
Top co-authors
Markus Ulrich
· 9
Markus Hillemann
· 7
Kira Wursthorn
· 2
Theodor Kapler
· 2
Boris Jutzi
· 1
Miriam J\"ager
· 1
Moritz Aberle
· 1
Robert Langendörfer
· 1
Rongjun Qin
· 1
Simon Reiß
· 1
Sunil Khatri
· 1
Valentin Jung
· 1
Topics
cs.CV
cs.AI
cs.LG