Leila De Floriani
Distinguished University Professor
Studies geometric modeling, topological data analysis and multiresolution representations of shapes and terrains.
Leila De Floriani's lab at UMD works on geometry processing & modeling and visualization & visual analytics. 6 papers since 2023, 1 at top venues, mostly CVPR. 2 PhD students. 9 alumni.
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 17%
- PhD students
- 2
- MS students
- 0
- alumni listed
- 9
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 2 papers2024 · T1 1
- 4 papers2023 · T1 0
T1 venuesOtherVenues: CVPR
Research focuspaper titles that use each topic's words
- Geometry processing & modeling1 paper
- Visualization & visual analytics0 papers
- shapes0 papers
- topological0 papers
- geometric modeling0 papers
Paper list
From the lab homepage.
20242 papers
- CVPR (T1)ImplicitTerrain: a Continuous Surface Model for Terrain Data Analysis (opens in a new tab)
- ACM Transactions on Spatial Algorithms and SystemsParallel Topology-aware Mesh Simplification on Terrain Trees (opens in a new tab)
20234 papers
- GeoInformaticaA topology-based approach to individual tree segmentation from airborne LiDAR data (opens in a new tab)
- Geo-spatial Information ScienceChart features, data quality, and scale in cartographic sounding selection from composite bathymetric data (opens in a new tab)
- GeoInformaticaTerrain trees: a framework for representing, analyzing and visualizing triangulated terrains (opens in a new tab)
- International Journal of Applied Earth Observation and GeoinformationTopology-based individual tree segmentation for automated processing of terrestrial laser scanning point clouds (opens in a new tab)
Where alumni went9 listed
Apply to UMDFall 2027
Not announced yet
UMD Computer Science PhD
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- Single round
- Opens
- —
- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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25 T1
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Data
Checked against the lab homepage.
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- Papers
- The lab homepage
- Members
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- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.