| 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 | 135 | 2022 |
| Earthnets: Empowering ai in earth observation Z Xiong, F Zhang, Y Wang, Y Shi, XX Zhu arXiv preprint arXiv:2210.04936, 2022 | 56 | 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 | 44 | 2023 |
| 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 | 26 | 2018 |
| 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 | 25 | 2022 |
| 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 | 22 | 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 | 6 | 2024 |
| 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 |
| 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 | 5 | 2022 |
| 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 | 4 | 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 | 3 | 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 |
| One for All: Toward Unified Foundation Models for Earth Vision Z Xiong, Y Wang, F Zhang, XX Zhu arXiv preprint arXiv:2401.07527, 2024 | 1 | 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 | | 2024 |
| AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation C Liu, CM Albrecht, Y Wang, Q Li, XX Zhu IEEE Transactions on Geoscience and Remote Sensing, 2024 | | 2024 |
| Task Specific Pretraining with Noisy Labels for Remote sensing Image Segmentation C Liu, C Albrecht, Y Wang, XX Zhu arXiv preprint arXiv:2402.16164, 2024 | | 2024 |
| QuickQuakeBuildings: Post-earthquake SAR-Optical Dataset for Quick Damaged-building Detection Y Sun, Y Wang, M Eineder arXiv preprint arXiv:2312.06587, 2023 | | 2023 |
| Boosting High Resolution Image Classification with Scaling-up Transformers: Second Place Solution of the CVPPA2023 Deep Nutrient Deficiency Challenge Y Wang arXiv preprint arXiv:2309.15277, 2023 | | 2023 |
| 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 | | 2023 |
| Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection Y Wang, C Liu, A Tiwari, M Silver, A Karnieli, XX Zhu, CM Albrecht 2022 IEEE International Conference on Big Data (Big Data), 4888-4892, 2022 | | 2022 |
Xiao Xiang ZhuTechnical University of MunichVerified email at tum.de
