2022

A. Maletzky, C. Böck, T. Tschoellitsch, T. Roland, H. Ludwig, S. Thumfart, M. Giretzlehner, S. Hochreiter, and J. Meier (2022) Lifting Hospital Electronic Health Record Data Treasures: Challenges and Opportunities. JMIR Medical Informatics, 10, 10, e38557, 2022-10-21. (more) (download)

M. Gauch, F. Kratzert, O. Gilon, H. Gupta, J. Mai, G. Nearing, B. Tolson, S. Hochreiter, and D. Klotz (2022) In Defense of Metrics: Metrics Sufficiently Encode Typical Human Preferences Regarding Hydrological Model Performance. EarthArXiv, 2022-10-19. (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. IEEE Transactions on Geoscience and Remote Sensing, 60, 2022-10-17. (more) (download)

P. M. Winter, C. Burger, S. Lehner, J. Kofler, T. I. Maindl, and C. M. Schäfer (2022) Residual Neural Networks for the Prediction of Planetary Collision Outcomes. Monthly Notices of the Royal Astronomical Society, 520, 1, 1224-1242, 2022-10-14. (more) (download)

P. Riccio, B. Psomas, F. Galati, F. Escolano, T. Hofmann, and N. M. Oliver (2022) OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022-09-27. (more) (download)

M. Krenn, L. Buffoni, B. Coutinho, S. Eppel, J. G. Foster, A. Gritsevskiy, H. Lee, Y. Lu, J. P. Moutinho, N. Sanjabi, R. Sonthalia, N. M. Tran, F. Valente, Y. Xie, R. Yu, and M. Kopp (2022) Predicting the Future of AI with AI: High-Quality Link Prediction in an Exponentially Growing Knowledge Network. arXiv:2210.00881, 2022-09-23. (more) (download)

E. Nejatiyanpour, O. Ghorbanzadeh, J. Strobl, M. D. Kakhki, H. Amirnezhad, and M. S. Sabouni (2022) Fire Vulnerability of Hyrcanian Forests: A Conceptual Framework for an Enhanced Forest Fire Risk Management in Northern Iran. Intercontinental Geoinformation Days, 4, 286-289, 2022-09-20. (more) (download)

D. Coquelin, B. Rasti, M. Götz, P. Ghamisi, R. Gloaguen, and A. Streit (2022) HyDe: The First Open-Source, Python-Based, GPU-Accelerated Hyperspectral Denoising Package. 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2022-09-13. (more) (download)

S. Chouhan, B. Rasti, P. Ghamisi, S. Lorenz, M. Fuchs, and R. Gloaguen (2022) Hyperspectral Unmixing Using Convolutional Autoencoder for Metal Detection in Lithium-Ion Battery Recycling Applications. 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2022-09-13. (more) (download)

L. Fang, P. Zhou, X. Liu, P. Ghamisi, and S. Chen (2022) Context Enhancing Representation for Semantic Segmentation in Remote Sensing Images. IEEE Transactions on Neural Networks and Learning Systems, 2022-09-09. (more) (download)

I. Ulku, E. Akagündüz, and P. Ghamisi (2022) Deep Semantic Segmentation of Trees Using Multispectral Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 7589-7604, 2022-08-31. (more) (download)

L. E. La Rosa, D. A. Oliveira, and P. Ghamisi (2022) Learning Crop Type Mapping from Regional Label Proportions in Large-Scale SAR and Optical Imagery. arXiv:2208.11607, 2022-08-24. (more) (download)

Y. Xu, B. Du, and L. Zhang (2022) Robust Self-Ensembling Network for Hyperspectral Image Classification. IEEE Transactions on Neural Networks and Learning Systems, 2022-08-19. (more) (download)

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)

M. Seydgar, S. Rahnamayan, P. Ghamisi, and A. A. Bidgoli (2022) Semisupervised Hyperspectral Image Classification Using a Probabilistic Pseudo-Label Generation Framework. IEEE Transactions on Geoscience and Remote Sensing, 60, 2022-08-04. (more) (download)

W. Tong, X. Guan, J. Kang, P. ZH Sun, R. Law, P. Ghamisi, and E. Q. Wu (2022) Normal Assisted Pixel-Visibility Learning With Cost Aggregation for Multiview Stereo. IEEE Transactions on Intelligent Transportation Systems, 2022-08-01. (more) (download)

S. Chang & P. Ghamisi (2022) Nonnegative-Constrained Joint Collaborative Representation with Union Dictionary for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing, 60, 2022-08-01. (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)

S. Chang, M. Kopp, and P. Ghamisi (2022) A Deep Feature Retrieved Network for Bitemporal Remote Sensing Image Change Detection. CEUR Workshop Proceedings, 3207, 2022-07-25. (more) (download)

P. Ghamisi, O. Ghorbanzadeh, Y. Xu, P. Herruzo, D. Kreil, M. Kopp, and S. Hochreiter (2022) The Landslide4Sense Competition 2022. CEUR Workshop Proceedings, 3207, 2022-07-25. (more) (download)

Y. Xu, W. Yu, and P. Ghamisi (2022) Task-Guided Denoising Network for Adversarial Defense of Remote Sensing Scene Classification. CEUR Workshop Proceedings, 3207, 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)

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