Maxim Neumann
Maxim Neumann
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Progressive neural architecture search
C Liu, B Zoph, M Neumann, J Shlens, W Hua, LJ Li, L Fei-Fei, A Yuille, ...
Proceedings of the European conference on computer vision (ECCV), 19-34, 2018
Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data
I Ali, F Greifeneder, J Stamenkovic, M Neumann, C Notarnicola
Remote Sensing 7 (12), 16398-16421, 2015
Scaling vision with sparse mixture of experts
C Riquelme, J Puigcerver, B Mustafa, M Neumann, R Jenatton, ...
Advances in Neural Information Processing Systems 34, 8583-8595, 2021
A large-scale study of representation learning with the visual task adaptation benchmark
X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ...
arXiv preprint arXiv:1910.04867, 2019
Estimation of forest structure, ground, and canopy layer characteristics from multibaseline polarimetric interferometric SAR data
M Neumann, L Ferro-Famil, A Reigber
IEEE Transactions on Geoscience and Remote Sensing 48 (3), 1086-1104, 2009
Simple open-vocabulary object detection
M Minderer, A Gritsenko, A Stone, M Neumann, D Weissenborn, ...
European Conference on Computer Vision, 728-755, 2022
Assessing performance of L-and P-band polarimetric interferometric SAR data in estimating boreal forest above-ground biomass
M Neumann, SS Saatchi, LMH Ulander, JES Fransson
IEEE Transactions on Geoscience and Remote Sensing 50 (3), 714-726, 2012
Detecting tropical forest biomass dynamics from repeated airborne lidar measurements
V Meyer, SS Saatchi, J Chave, JW Dalling, S Bohlman, GA Fricker, ...
Biogeosciences 10 (8), 5421-5438, 2013
NASADEM global elevation model: Methods and progress
R Crippen, S Buckley, P Agram, E Belz, E Gurrola, S Hensley, M Kobrick, ...
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016
Continental-scale building detection from high resolution satellite imagery
W Sirko, S Kashubin, M Ritter, A Annkah, YSE Bouchareb, Y Dauphin, ...
arXiv preprint arXiv:2107.12283, 2021
Multibaseline polarimetric SAR interferometry coherence optimization
M Neumann, L Ferro-Famil, A Reigber
IEEE Geoscience and Remote Sensing Letters 5 (1), 93-97, 2008
Impacts of spatial variability on aboveground biomass estimation from L-band radar in a temperate forest
C Robinson, S Saatchi, M Neumann, T Gillespie
Remote Sensing 5 (3), 1001-1023, 2013
Remote sensing of vegetation using multi-baseline polarimetric SAR interferometry: Theoretical modeling and physical parameter retrieval
M Neumann
Univ. Rennes, Rennes, France (Ph. D. thesis, Ph. D. dissertation), 2009
Attentionnas: Spatiotemporal attention cell search for video classification
X Wang, X Xiong, M Neumann, AJ Piergiovanni, MS Ryoo, A Angelova, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
A general model-based polarimetric decomposition scheme for vegetated areas
M Neumann, L Ferro-Famil, E Pottier
Proceedings of the 4th International Workshop on Science and Applications of …, 2009
In-domain representation learning for remote sensing
M Neumann, AS Pinto, X Zhai, N Houlsby
arXiv preprint arXiv:1911.06721, 2019
Multi-baseline POL-inSAR statistical techniques for the characterization of distributed media
L Ferro-Famil, M Neumann, Y Huang
2009 IEEE International Geoscience and Remote Sensing Symposium 3, III-971 …, 2009
Quantification of selective logging in tropical forest with spaceborne SAR interferometry
Y Lei, R Treuhaft, M Keller, M Dos-Santos, F Gonçalves, M Neumann
Remote sensing of environment 211, 167-183, 2018
Recent advances in the derivation of POL-inSAR statistics: Study and applications
L Ferro-Famil, M Neumann
7th European Conference on Synthetic Aperture Radar, 1-4, 2008
Tropical-forest structure and biomass dynamics from TanDEM-X radar interferometry
R Treuhaft, Y Lei, F Gonçalves, M Keller, JR dos Santos, M Neumann, ...
Forests 8 (8), 277, 2017
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