Maxim Neumann

Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data

Iftikhar Ali, Felix Greifeneder, Jelena Stamenković et al. · Remote Sensing · 2015 · 498 citations · Full text

Natural Sciences, Earth Sciences, Soil Sciences +17

Estimation of Forest Structure, Ground, and Canopy Layer Characteristics From Multibaseline Polarimetric Interferometric SAR Data

Maxim Neumann, Laurent Ferro-Famil, Andreas Reigber · IEEE Transactions on Geoscience and Remote Sensing · 2009 · 266 citations

Natural Resources, Earth Sciences, Forestry +17

NASADEM GLOBAL ELEVATION MODEL: METHODS AND PROGRESS

Robert E. Crippen, S. Buckley, P. S. Agram et al. · ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 2016 · 188 citations · Full text

Computing, Earth Sciences, Geoinformatics +17

Progressive Neural Architecture Search

Chenxi Liu, Barret Zoph, Maxim Neumann et al. · arXiv (Cornell University) · 2017 · 167 citations · Full text

Computing, Computer Science, Artificial Intelligence +16

A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov et al. · arXiv (Cornell University) · 2019 · 160 citations · Full text

Computing, Computer Science, Computer Vision +12