K. R. Shahi, P. Ghamisi, B. Rasti, R. Gloaguen, and P. Scheunders (2022) MS2A-Net: Multiscale Spectral–Spatial Association Network for Hyperspectral Image Clustering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 6518-6530, 2022-08-11. (more) (download)

Y. Xu, W. Yu, P. Ghamisi, M. Kopp, and S. Hochreiter (2022) Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks. arXiv:2208.04441, 2022-08-08. (more) (download)

Y. Xu & P. Ghamisi (2022) Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations. IEEE Transactions on Image Processing, 2022-07-25. (more) (download)

I. Kakogeorgiou, S. Gidaris, B. Psomas, Y. Avrithis, A. Bursuc, K. Karantzalos, and N. Komodakis (2022) What to Hide from Your Students: Attention-Guided Masked Image Modeling. arXiv:2203.12719v2, 2022-07-22. (more) (download)

C. Eichenberger, M. Neun, H. Martin, P. Herruzo, M. Spanring, Y. Lu, S. Choi, V. Konyakhin, N. Lukashina, A. Shpilman, N. Wiedemann, M. Raubal, B. Wang, H. L. Vu, R. Mohajerpoor, C. Cai, I. Kim, L. Hermes, A. Melnik, R. Velioglu, M. Vieth, M. Schilling, A. Bojesomo, H. Al Marzouqi, P. Liatsis, J. Santokhi, D. Hillier, Y. Yang, J. Sarwar, A. Jordan, E. Hewage, D. Jonietz, F. Tang, A. Gruca, M. Kopp, D. Kreil, and S. Hochreiter (2022) Traffic4cast at NeurIPS 2021 – Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. NeurIPS 2021 Competitions and Demonstrations Track, PMLR, 176, 97-112, 2022-07-20. (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)

W. Wang, Y. Chen, and P. Ghamisi (2022) Transferring CNN with Adaptive Learning for Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, 60, 2022-07-14. (more) (download)

C. Steinparz, T. Schmied, F. Paischer, M.-C. Dinu, V. Patil, A. Bitto-Nemling, H. Eghbal-zadeh, and S. Hochreiter (2022) Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning. arXiv:2207.05742, 2022-07-12. (more) (download)

S. Venkataramanan, E. Kijak, L. Amsaleg, and Y. Avrithis (2022) Teach Me How to Interpolate a Myriad of Embeddings. arXiv:2206.14868, 2022-06-29. (more) (download)

S. Venkataramanan, E. Kijak, L. Amsaleg, and Y. Avrithis (2022) AlignMixup: Improving Representations by Interpolating Aligned Features. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 19174-19183, 2022-06-24. (more) (download)

L. Zhang, Y. Qian, J. Han, P. Duan, and P. Ghamisi (2022) Mixed Noise Removal for Hyperspectral Image with l0-l1-2SSTV Regularization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1-18, 2022-06-23. (more) (download)

M. Mc Cutchan & I. Giannopoulos (2022) Encoding Geospatial Vector Data for Deep Learning: LULC as a Use Case. Remote Sensing, 14, 12, 2812, 2022-06-11. (more) (download)

N. Wiedemann, H. Martin, and M. Raubal (2022) Unlocking Social Network Analysis Methods for Studying Human Mobility. AGILE: GIScience Series, 3, 1-12, 2022-06-10. (more) (download)

H. Cai, Y. Xin, H. Martin, and M. Raubal (2022) Optimizing Electric Vehicle Charging Schedules Based on Probabilistic Forecast of Individual Mobility. AGILE: GIScience Series, 3, 1-13, 2022-06-10. (more) (download)

H. Martin, Y. Hong, N. Wiedemann, D. Bucher, and M. Raubal (2022) Trackintel: An Open-source Python Library for Human Mobility Analysis. arXiv:2206.03593, 2022-06-07. (more) (download)

M. Gauch, M. Beck, T. Adler, D. Kotsur, S. Fiel, H. Eghbal-zadeh, J. Brandstetter, J. Kofler, M. Holzleitner, W. Zellinger, D. Klotz, S. Hochreiter, and S. Lehner (2022) Few-Shot Learning by Dimensionality Reduction in Gradient Space. arXiv:2206.03483, 2022-06-07. (more) (download)

O. Ghorbanzadeh, Y. Xu, P. Ghamisi, M. Kopp, and D. Kreil (2022) Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. arXiv:2206.00515, 2022-06-01. (more) (download)

B. Schäfl, L. Gruber, A. Bitto-Nemling, and S. Hochreiter (2022) Hopular: Modern Hopfield Networks for Tabular Data. arXiv:2206.00664, 2022-06-01. (more) (download)

Y. Cai, Z. Zhang, P. Ghamisi, Y. Ding, X. Liu, Z. Cai, and R. Gloaguen (2022) Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, 2022-06-01. (more) (download)

H. Li, J. Zech, D. Hong, P. Ghamisi, M. Schultz, and A. Zipf (2022) Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection. International Journal of Applied Earth Observation and Geoinformation, 110, 102804, 2022-06-01. (more) (download)

F. Paischer, T. Adler, V. Patil, A. Bitto-Nemling, M. Holzleitner, S. Lehner, H. Eghbal-zadeh, and S. Hochreiter (2022) History Compression via Language Models in Reinforcement Learning. arXiv:2205.12258, 2022-05-24. (more) (download)

D. Klotz, M. Gauch, G. Nearing, S. Hochreiter, and F. Kratzert (2022) Deficiencies in Hydrological Modelling Practices. EGU22-12403, 2022-05-23. (more) (download)

S. Das, S. Pratiher, C. Kyal, and P. Ghamisi (2022) Sparsity Regularized Deep Subspace Clustering for Multi-criterion-based Hyperspectral Band Selection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022-05-03. (more) (download)

A. Sanchez-Fernandez, E. Rumetshofer, S. Hochreiter, and G. Klambauer (2022) Contrastive Learning of Image- and Structure-based Representations in Drug Discovery. ICLR 2022 Machine Learning for Drug Discovery Workshop Proceedings, 2022-04-29. (more) (download)


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