Publications

[Publications list as PDF] [and in Google Scholar]

2024


Reconstructing facade details using MLS point clouds and Bag-of-Words approach

Froech, T., Wysocki, O., Hoegner, L., and Stilla, U.

[website] [pdf] [arxiv]


Classifying point clouds at the facade-level using geometric features and deep learning networks

Tan, Y., Wysocki, O., Hoegner, L., and Stilla, U.

[website] [pdf] [arxiv]


Transferring facade labels between point clouds with semantic octrees while considering change detection

Schwarz, S., Pilz, T., Wysocki, O., Hoegner, L., and Stilla, U.

[website] [pdf] [arxiv]


MLS2LoD3: Refining low LoDs building models with MLS point clouds to reconstruct semantic LoD3 building models

Wysocki, O., Hoegner, L., and Stilla, U.

[website] [pdf] [arxiv]

2023


Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks

Wysocki, O., Xia, Y., Wysocki M., Grilli, E., Hoegner, L., Cremers D., and Stilla, U.

CVPRW ‘23

[website] [pdf] [arxiv]

2022


Combining visibility analysis and deep learning for refinement of semantic 3D building models by conflict classification

Wysocki, O., Grilli, E., Hoegner, L. and Stilla, U.

ISPRS Annals, 3D GeoInfo ‘22

[website] [pdf] [arxiv]


Refinement of semantic 3D building models by reconstructing underpasses from MLS point clouds

Wysocki, O., Hoegner, L. and Stilla, U.

International Journal of Applied Earth Observation and Geoinformation

[website] [pdf]


TUM-FAÇADE: Reviewing and enriching point cloud benchmarks for façade segmentation

Wysocki, O., Hoegner, L. and Stilla, U.

ISPR Archives, ArCH ‘22

[website] [pdf] [arxiv]

2021


Unlocking point cloud potential: Fusing MLS point clouds with semantic 3D building models while considering uncertainty

Wysocki, O., Xu, Y. and Stilla, U.

ISPRS Annals, 3D GeoInfo ‘21

[website] [pdf]


Plastic surgery for 3D city models: A pipeline for automatic geometry refinement and semantic enrichment

Wysocki, O., Schwab, B., Hoegner, L., Kolbe, TH. and Stilla, U.

ISPRS Annals, ISPRS Congress ‘21

[website] [pdf]