%0 Journal Article %1 journals/pai/GhorbanMSRSMK19 %A Ghorban, Farzin %A Milani, Narges %A Schugk, Daniel %A Roese-Koerner, Lutz %A Su, Yu %A Müller, Dennis %A Kummert, Anton %D 2019 %J Progress in AI %K dblp %N 1 %P 73-82 %T Conditional multichannel generative adversarial networks with an application to traffic signs representation learning. %U http://dblp.uni-trier.de/db/journals/pai/pai8.html#GhorbanMSRSMK19 %V 8

@article{journals/pai/GhorbanMSRSMK19, added-at = {2019-05-31T00:00:00.000+0200}, author = {Ghorban, Farzin and Milani, Narges and Schugk, Daniel and Roese-Koerner, Lutz and Su, Yu and Müller, Dennis and Kummert, Anton}, biburl = {https://www.bibsonomy.org/bibtex/2fbea21b17c9a0cb9d04e66a600abfae5/dblp}, ee = {https://doi.org/10.1007/s13748-018-0149-5}, interhash = {f70090a4461e4d5832b14c438f66cefb}, intrahash = {fbea21b17c9a0cb9d04e66a600abfae5}, journal = {Progress in AI}, keywords = {dblp}, number = 1, pages = {73-82}, timestamp = {2019-06-01T11:46:42.000+0200}, title = {Conditional multichannel generative adversarial networks with an application to traffic signs representation learning.}, url = {http://dblp.uni-trier.de/db/journals/pai/pai8.html#GhorbanMSRSMK19}, volume = 8, year = 2019 }