| Self-supervised learning in remote sensing: A review Y Wang, CM Albrecht, NAA Braham, L Mou, XX Zhu IEEE Geoscience and Remote Sensing Magazine 10 (4), 213-247, 2022 | 189 | 2022 |
| SSL4EO-S12: A large-scale multimodal, multitemporal dataset for self-supervised learning in Earth observation [Software and Data Sets] Y Wang, NAA Braham, Z Xiong, C Liu, CM Albrecht, XX Zhu IEEE Geoscience and Remote Sensing Magazine 11 (3), 98-106, 2023 | 76 | 2023 |
| Earthnets: Empowering ai in earth observation Z Xiong, F Zhang, Y Wang, Y Shi, XX Zhu arXiv preprint arXiv:2210.04936, 2022 | 72 | 2022 |
| Self-supervised vision transformers for joint SAR-optical representation learning Y Wang, CM Albrecht, XX Zhu IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 37 | 2022 |
| Spatial distribution and temporal variation of aerosol optical depth and radiative effect in South China and its adjacent area M Zhang, Y Wang, Y Ma, L Wang, W Gong, B Liu Atmospheric Environment 188, 120-128, 2018 | 28 | 2018 |
| Machine-learned 3D building vectorization from satellite imagery Y Wang, S Zorzi, K Bittner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 27 | 2021 |
| Ssl4eo-l: Datasets and foundation models for landsat imagery A Stewart, N Lehmann, I Corley, Y Wang, YC Chang, NA Ait Ali Braham, ... Advances in Neural Information Processing Systems 36, 2024 | 16 | 2024 |
| Neural plasticity-inspired foundation model for observing the earth crossing modalities Z Xiong, Y Wang, F Zhang, AJ Stewart, J Hanna, D Borth, I Papoutsis, ... arXiv preprint arXiv:2403.15356, 2024 | 12 | 2024 |
| DeCUR: decoupling common & unique representations for multimodal self-supervision Y Wang, CM Albrecht, NAA Braham, C Liu, Z Xiong, XX Zhu arXiv preprint arXiv:2309.05300, 2023 | 11 | 2023 |
| Feature guided masked autoencoder for self-supervised learning in remote sensing Y Wang, HH Hernández, CM Albrecht, XX Zhu arXiv preprint arXiv:2310.18653, 2023 | 10 | 2023 |
| On the Foundations of Earth and Climate Foundation Models XX Zhu, Z Xiong, Y Wang, AJ Stewart, K Heidler, Y Wang, Z Yuan, ... arXiv preprint arXiv:2405.04285, 2024 | 9 | 2024 |
| One for all: Toward unified foundation models for Earth vision Z Xiong, Y Wang, F Zhang, XX Zhu arXiv preprint arXiv:2401.07527, 2024 | 7 | 2024 |
| Monitoring urban forests from auto-generated segmentation maps CM Albrecht, C Liu, Y Wang, L Klein, XX Zhu IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 6 | 2022 |
| Gamus: A geometry-aware multi-modal semantic segmentation benchmark for remote sensing data Z Xiong, S Chen, Y Wang, L Mou, XX Zhu arXiv preprint arXiv:2305.14914, 2023 | 5 | 2023 |
| Peaks fusion assisted early-stopping strategy for overhead imagery segmentation with noisy labels C Liu, CM Albrecht, Y Wang, XX Zhu 2022 IEEE International Conference on Big Data (Big Data), 4842-4847, 2022 | 2 | 2022 |
| Task specific pretraining with noisy labels for remote sensing image segmentation C Liu, CM Albrecht, Y Wang, XX Zhu IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024 | 1 | 2024 |
| QuickQuakeBuildings: Post-earthquake SAR-Optical Dataset for Quick Damaged-building Detection Y Sun, Y Wang, M Eineder IEEE Geoscience and Remote Sensing Letters, 2024 | 1 | 2024 |
| Automatic Detection of Building Displacements Through Unsupervised Learning From InSAR Data RS Kuzu, L Bagaglini, Y Wang, CO Dumitru, NAA Braham, G Pasquali, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 | 1 | 2023 |
| Decoupling Common and Unique Representations for Multimodal Self-supervised Learning Y Wang, CM Albrecht, NAA Braham, C Liu, Z Xiong, XX Zhu arXiv preprint arXiv:2309.05300, 0 | 1 | |
| Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining Y Wang, CM Albrecht, XX Zhu arXiv preprint arXiv:2405.20462, 2024 | | 2024 |
Xiao Xiang ZhuTechnical University of MunichVerified email at tum.de
