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Nico Lang
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2020 – today
- 2024
- [c4]Nico Lang, Vésteinn Snæbjarnarson, Elijah Cole, Oisin Mac Aodha, Christian Igel, Serge J. Belongie:
From Coarse to Fine-Grained Open-Set Recognition. CVPR 2024: 17804-17814 - [c3]Vishal Nedungadi, Ankit Kariryaa
, Stefan Oehmcke
MMEarth: Exploring Multi-modal Pretext Tasks for Geospatial Representation Learning. ECCV (64) 2024: 164-182 - [c2]Bingchen Zhao, Nico Lang, Serge J. Belongie, Oisin Mac Aodha:
Labeled Data Selection for Category Discovery. ECCV (55) 2024: 201-218 - [i13]Vishal Nedungadi, Ankit Kariryaa, Stefan Oehmcke, Serge J. Belongie, Christian Igel, Nico Lang:
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning. CoRR abs/2405.02771 (2024) - [i12]Bingchen Zhao, Nico Lang, Serge J. Belongie, Oisin Mac Aodha:
Labeled Data Selection for Category Discovery. CoRR abs/2406.04898 (2024) - [i11]Venkanna Babu Guthula, Stefan Oehmcke, Remigio Chilaule, Hui Zhang, Nico Lang, Ankit Kariryaa, Johan Mottelson, Christian Igel:
Nacala-Roof-Material: Drone Imagery for Roof Detection, Classification, and Segmentation to Support Mosquito-borne Disease Risk Assessment. CoRR abs/2406.04949 (2024) - [i10]Lucia Gordon, Nico Lang, Catherine Ressijac, Andrew Davies:
Multimodal Fusion Strategies for Mapping Biophysical Landscape Features. CoRR abs/2410.04833 (2024) - 2023
- [i9]Philip Enevoldsen, Christian Gundersen, Nico Lang, Serge J. Belongie, Christian Igel:
Familiarity-Based Open-Set Recognition Under Adversarial Attacks. CoRR abs/2311.05006 (2023) - 2022
- [b1]Nico Lang:
Mapping Vegetation Height - Probabilistic Deep Learning for Global Remote Sensing. ETH Zurich, Zürich, Switzerland, 2022 - [i8]Nico Lang, Walter Jetz, Konrad Schindler, Jan Dirk Wegner:
A high-resolution canopy height model of the Earth. CoRR abs/2204.08322 (2022) - [i7]Nikolai Kalischek, Nico Lang, Cécile Renier, Rodrigo Caye Daudt, Thomas Addoah, William Thompson, Wilma J. Blaser-Hart, Rachael Garrett, Konrad Schindler, Jan D. Wegner:
Satellite-based high-resolution maps of cocoa planted area for Côte d'Ivoire and Ghana. CoRR abs/2206.06119 (2022) - 2021
- [i6]Nico Lang, Nikolai Kalischek, John Armston, Konrad Schindler, Ralph Dubayah, Jan Dirk Wegner:
Global canopy height estimation with GEDI LIDAR waveforms and Bayesian deep learning. CoRR abs/2103.03975 (2021) - [i5]Nico Lang, Konrad Schindler, Jan Dirk Wegner:
High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR. CoRR abs/2107.07431 (2021) - [i4]Alexander Becker, Stefania Russo, Stefano Puliti, Nico Lang, Konrad Schindler, Jan Dirk Wegner:
Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Bayesian Deep Learning. CoRR abs/2111.13154 (2021) - 2020
- [i3]Daniel Laumer, Nico Lang, Natalie van Doorn, Oisin Mac Aodha, Pietro Perona, Jan Dirk Wegner:
Geocoding of trees from street addresses and street-level images. CoRR abs/2002.01708 (2020)
2010 – 2019
- 2019
- [c1]Ahmed Samy Nassar, Nico Lang, Sébastien Lefèvre
Learning geometric soft constraints for multi-view instance matching across street-level panoramas. JURSE 2019: 1-4 - [i2]Nico Lang, Konrad Schindler, Jan Dirk Wegner:
Country-wide high-resolution vegetation height mapping with Sentinel-2. CoRR abs/1904.13270 (2019) - [i1]Steve Branson, Jan Dirk Wegner, David Hall, Nico Lang, Konrad Schindler, Pietro Perona:
From Google Maps to a Fine-Grained Catalog of Street trees. CoRR abs/1910.02675 (2019)
Coauthor Index
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