2 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 2 cited
Learning to Sieve: Prediction of Grading Curves from Images of Concrete Aggregate
Max Coenen, Dries Beyer, Christian Heipke +1
A large component of the building material concrete consists of aggregate with varying particle sizes between 0.125 and 32 mm. Its actual size distribution significantly affects th…
cs.CV2021★ 2 cited
A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases
Chun Yang, Franz Rottensteiner, Christian Heipke
Land use as contained in geospatial databases constitutes an essential input for different applica-tions such as urban management, regional planning and environmental monitoring. I…
cs.CV2019
CNN-based Cost Volume Analysis as Confidence Measure for Dense Matching
Max Mehltretter, Christian Heipke
Due to its capability to identify erroneous disparity assignments in dense stereo matching, confidence estimation is beneficial for a wide range of applications, e.g. autonomous dr…