Nico Lang

Orcid: 0000-0001-8434-027X

According to our database1, Nico Lang authored at least 18 papers between 2019 and 2025.

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Bibliography

2025
Open-Set Recognition of Novel Species in Biodiversity Monitoring.
CoRR, March, 2025

Familiarity-Based Open-Set Recognition Under Adversarial Attacks.
Proceedings of the Northern Lights Deep Learning Conference, 2025

Taxonomy-Aware Evaluation of Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Nacala-Roof-Material: Drone Imagery for Roof Detection, Classification, and Segmentation to Support Mosquito-borne Disease Risk Assessment.
CoRR, 2024

Labeled Data Selection for Category Discovery.
Proceedings of the Computer Vision - ECCV 2024, 2024

MMEarth: Exploring Multi-modal Pretext Tasks for Geospatial Representation Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

Multimodal Fusion Strategies for Mapping Biophysical Landscape Features.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

From Coarse to Fine-Grained Open-Set Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022
Mapping Vegetation Height - Probabilistic Deep Learning for Global Remote Sensing.
PhD thesis, 2022

Satellite-based high-resolution maps of cocoa planted area for Côte d'Ivoire and Ghana.
CoRR, 2022

A high-resolution canopy height model of the Earth.
CoRR, 2022

2021
Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Bayesian Deep Learning.
CoRR, 2021

High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR.
CoRR, 2021

Global canopy height estimation with GEDI LIDAR waveforms and Bayesian deep learning.
CoRR, 2021

2020
Geocoding of trees from street addresses and street-level images.
CoRR, 2020

2019
From Google Maps to a Fine-Grained Catalog of Street trees.
CoRR, 2019

Country-wide high-resolution vegetation height mapping with Sentinel-2.
CoRR, 2019

Learning geometric soft constraints for multi-view instance matching across street-level panoramas.
Proceedings of the Joint Urban Remote Sensing Event, 2019


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