activity
20232026
most citedTree Counting by Bridging 3D Point Clouds with Imagery

2 citations · 3 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Align and Segment: Unsupervised Learning for Building Segmentation From Misaligned Labels

Venkanna Babu Guthula, Oswin Krause, Dimitri Gominski +5

Supervised learning for image segmentation typically requires spatially aligned image and label sets. When images and labels originate from different sources, the pairing may be mi…

cs.CV2026

Uncertainty-aware tree height change regression

Max Gaber, Dimitri Gominski, Jaime C. Revenga +3

Monitoring canopy height change is essential for understanding carbon sinks and forest dynamics. Remote sensing enables consistent, large-scale observations of such changes, increa…

cs.CV2026

Counting Trees from Satellite Imagery with Noisy Supervision

Dimitri Gominski, Maurice Mugabowindekwe, Qiue Xu +6

Counting individual trees is a fundamental task for environmental monitoring, yet remains largely unexplored with satellite imagery. At these resolutions, isolated trees may still…

cs.CV2025

Trees as Gaussians: Large-Scale Individual Tree Mapping

Dimitri Gominski, Martin Brandt, Xiaoye Tong +6

Trees are key components of the terrestrial biosphere, playing vital roles in ecosystem function, climate regulation, and the bioeconomy. However, large-scale monitoring of individ…

cs.CV2024

Mining Field Data for Tree Species Recognition at Scale

Dimitri Gominski, Daniel Ortiz-Gonzalo, Martin Brandt +2

Individual tree species labels are particularly hard to acquire due to the expert knowledge needed and the limitations of photointerpretation. Here, we present a methodology to aut…

cs.CV2024

Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring

Sizhuo Li, Dimitri Gominski, Martin Brandt +2

Image-level regression is an important task in Earth observation, where visual domain and label shifts are a core challenge hampering generalization. However, cross-domain regressi…

cs.CV2024★ 2 cited

Tree Counting by Bridging 3D Point Clouds with Imagery

Lei Li, Tianfang Zhang, Zhongyu Jiang +6

Accurate and consistent methods for counting trees based on remote sensing data are needed to support sustainable forest management, assess climate change mitigation strategies, an…

cs.CV2023★ 1 cited

Benchmarking Individual Tree Mapping with Sub-meter Imagery

Dimitri Gominski, Ankit Kariryaa, Martin Brandt +4

There is a rising interest in mapping trees using satellite or aerial imagery, but there is no standardized evaluation protocol for comparing and enhancing methods. In dense canopy…