2022

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. arXiv:2203.17070, 2022-04-01. (more) (download)

Y. Xu & P. Ghamisi (2022) Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations. arXiv:2202.03740, 2022-02-08. (more) (download)

Z. Li, F. Lu, H. Zhang, L. Tu, J. Li, X. Huang, C. Robinson, K. Malkin, N. Jojic, P. Ghamisi, R. Hansch, and N. Yokoya (2022) The Outcome of the 2021 IEEE GRSS Data Fusion Contest-Track MSD: Multitemporal Semantic Change Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 2022-01-24. (more) (download)

M. Lu, L. Fang, M. Li, B. Zhang, Y. Zhang, and P. Ghamisi (2022) NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-14, 2022-01-04. (more) (download)

2021

Y. Ma, Y. Li, K. Feng, Y. Xia, Q. Huang, H. Zhang, C. Prieur, G. Licciardi, H. Malha, J. Chanussot, P. Ghamisi, R. Hansch, and N. Yokoya (2021) The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track DSE: Detection of Settlements Without Electricity. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 12375, 2021-11-24. (more) (download)

Q. Li, Y. Chen, and P. Ghamisi (2021) Complementary Learning-Based Scene Classification of Remote Sensing Images With Noisy Labels. IEEE Geoscience and Remote Sensing Letters, 2021-09-29. (more) (download)

O. Ghorbanzadeh, A. Crivellari, P. Ghamisi, H. Shahabi, and T. Blaschke (2021) A Comprehensive Transferability Evaluation of U-Net and ResU-Net for Landslide Detection from Sentinel-2 Data. Scientific Reports, 11, 14629, 2021-07-16. (more) (download)

B. Rasti, B. Koirala, P. Scheunders, and P. Ghamisi (2021) Spectral Unmixing Using Deep Convolutional Encoder-Decoder. 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 3829-3832, 2021-07-11. (more) (download)

H. Xie, Y. Chen, and a. P. Ghamisi (2021) Remote Sensing Image Scene Classification via Label Augmentation and Intra-Class Constraint. Remote Sensing, 13, 2566, 2021-06-30. (more) (download)

B. Rasti, B. Koirala, P. Scheunders, and P. Ghamisi (2021) UnDIP: Hyperspectral Unmixing Using Deep Image Prior. IEEE Transactions on Geoscience and Remote Sensing, 2021-03-31. (more) (download)

X. He, Y. Chen, and P. Ghamisi (2021) Dual Graph Convolutional Network for Hyperspectral Image Classification with Limited Training Samples. IEEE Transactions on Geoscience and Remote Sensing, 2021-03-08. (more) (download)

C. Robinson, K. Malkin, N. Jojic, H. Chen, R. Qin, C. Xiao, M. Schmitt, P. Ghamisi, R. Hansch, and N. Yokoya (2021) Global Land Cover Mapping with Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest.  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021-03-04. (more) (download)

2020

H. Martin, D. Bucher, Y. Hong, R. Buffat, C. Rupprecht, and M. Raubal (2020) Graph-ResNets for short-term traffic forecasts in almost unknown cities. Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:153-163, 2020-08-19. (more) (download)

2019

M. Hofmarcher, E. Rumetshofer, D.-A. Clevert, S. Hochreiter, and G. Klambauer (2019) Accurate prediction of biological assays with high-throughput microscopy images and convolutional networks. Journal of Chemical Information and Modeling, 59, 3, 1163, 2019-03-06. (more) (download)

E. Rumetshofer, M. Hofmarcher, C. Röhrl, S. Hochreiter, and G. Klambauer (2019) Human-level Protein Localization with Convolutional Neural Networks. International Conference on Learning Representations, ICLR 2019, New Orleans, 6-9 May. (more) (download)

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