Generative Adversarial Networks
2022
Y. Xu, F. He, B. Du, D. Tao, and L. Zhang (2022) Self-Ensembling GAN for Cross-Domain Semantic Segmentation. IEEE Transactions on Multimedia, 2022-12-29. (more) (download)
Z. He, K. Xia, P. Ghamisi, Y. Hu, S. Fan, and B. Zu (2022) HyperViTGAN: Semisupervised Generative Adversarial Network With Transformer for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 6053-6068, 2022-07-18. (more) (download)
2019
M. Gillhofer, H. Ramsauer, J. Brandstetter, and S. Hochreiter (2019) A GAN based solver of black-box inverse problems. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019); e-print at openreview.net. (more) (download)
D. Jonietz & M. Kopp (2019) Towards Modeling Geographical Processes with Generative Adversarial Networks (GANs). 14th International Conference on Spatial Information Theory (COSIT 2019), Leibniz International Proceedings in Informatics (LIPIcs), 142, 27, 2019-09-03. (more) (download)