Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Effnet: An Efficient Structure for Convolutional Neural Networks.

I. Freeman, L. Roese-Koerner, and A. Kummert. ICIP, page 6-10. IEEE, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Lutz Roese-Koerner

Beate Roese-Koerner

Karin Roese

Richard Roese

Henricus Roese

Other publications of authors with the same name

On the Robustness of Active Learning.L. Hahn, L. Roese-Koerner, P. Cremer, U. Zimmermann, O. Maoz, and A. Kummert. GCAI, volume 65 of EPiC Series in Computing, page 152-162. EasyChair, (2019)MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps.P. Colling, L. Roese-Koerner, H. Gottschalk, and M. Rottmann. CoRR, (2020)MetaBox+: A New Region based Active Learning Method for Semantic Segmentation using Priority Maps.P. Colling, L. Roese-Koerner, H. Gottschalk, and M. Rottmann. ICPRAM, page 51-62. SCITEPRESS, (2021)LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds.T. Riedlinger, M. Schubert, S. Penquitt, J. Kezmann, P. Colling, K. Kahl, L. Roese-Koerner, M. Arnold, U. Zimmermann, and M. Rottmann. DAGM, volume 14264 of Lecture Notes in Computer Science, page 85-99. Springer, (2023)Effnet: An Efficient Structure for Convolutional Neural Networks.I. Freeman, L. Roese-Koerner, and A. Kummert. ICIP, page 6-10. IEEE, (2018)Prediction Quality Meta Regression and Error Meta Classification for Segmented Lidar Point Clouds.P. Colling, M. Rottmann, L. Roese-Koerner, and H. Gottschalk. Int. J. Artif. Intell. Tools, 32 (5): 2360006:1-2360006:25 (August 2023)False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation.P. Colling, M. Rottmann, L. Roese-Koerner, and H. Gottschalk. ICTAI, page 18-25. IEEE, (2021)Radar Scan Matching Using Navigation Maps.A. Pishehvari, U. Iurgel, S. Lessmann, L. Roese-Koerner, and B. Tibken. IRC, page 204-211. IEEE, (2019)Conditional multichannel generative adversarial networks with an application to traffic signs representation learning.F. Ghorban, N. Milani, D. Schugk, L. Roese-Koerner, Y. Su, D. Müller, and A. Kummert. Progress in AI, 8 (1): 73-82 (2019)Fast and reliable architecture selection for convolutional neural networks.L. Hahn, L. Roese-Koerner, K. Friedrichs, and A. Kummert. ESANN, (2019)

BibSonomy

Disambiguation of "Roese-Koerner, Lutz"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Effnet: An Efficient Structure for Convolutional Neural Networks.

Please choose a person to relate this publication to

Lutz Roese-Koerner

Beate Roese-Koerner

Karin Roese

Richard Roese

Henricus Roese

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Roese-Koerner, Lutz"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Effnet: An Efficient Structure for Convolutional Neural Networks.

Please choose a person to relate this publication to

Lutz Roese-Koerner

Beate Roese-Koerner

Karin Roese

Richard Roese

Henricus Roese

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Effnet: An Efficient Structure for Convolutional Neural Networks.