Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining, IEEE TGRS 2024.
Yi Wang, Conrad M Albrecht, Xiao Xiang Zhu
pretraining, self-supervised learning, weakly-supervised learning, multimodal, Sentinel-1/2
On the Foundations of Earth and Climate Foundation Models, Arxiv 2024.
Xiao Xiang Zhu, Zhitong Xiong, Yi Wang, Adam J Stewart, Konrad Heidler, Yuanyuan Wang, Zhenghang Yuan, Thomas Dujardin, Qingsong Xu, Yilei Shi
survey, perspective
Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities, Arxiv 2024.
Zhitong Xiong, Yi Wang, Fahong Zhang, Adam J Stewart, Joëlle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, Xiao Xiang Zhu
pretraining, self-supervised learning, multimodal, NAIP/Sentinel-1&2/GaoFen/EnMAP
Decoupling common and unique representations for multimodal self-supervised learning, ECCV 2024 (oral).
Yi Wang, Conrad M Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu
pretraining, self-supervised learning, multimodal, Sentinel-1&2/Aerial&DEM/RGB&Depth
One for All: Toward Unified Foundation Models for Earth Vision, IGARSS 2024.
Zhitong Xiong, Yi Wang, Fahong Zhang, Xiao Xiang Zhu
pretraining, self-supervised learning, multimodal, NAIP/Sentinel-1&2/GaoFen/EnMAP
Task Specific Pretraining with Noisy Labels for Remote sensing Image Segmentation, IGARSS 2024.
Chenying Liu, Conrad Albrecht, Yi Wang, Xiao Xiang Zhu
pretraining, weakly-supervised learning, noisy label
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation, ICLR 2024 ML4RS Workshop.
Chenying Liu, Conrad Albrecht, Yi Wang, Xiao Xiang Zhu
pretraining, weakly-supervised learning, noisy label
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation, IEEE TGRS 2024.
Chenying Liu, Conrad M Albrecht, Yi Wang, Qingyu Li, Xiao Xiang Zhu
segmentation, weakly-supervised learning, noisy label
QuickQuakeBuildings: Post-earthquake SAR-Optical Dataset for Quick Damaged-building Detection, IEEE GRSL 2024.
Yao Sun, Yi Wang, Michael Eineder
dataset, multimodal, buildings, Spotlight-SAR/WorldView-3
Feature guided masked autoencoder for self-supervised learning in remote sensing, Arxiv 2023.
Yi Wang, Hugo Hernández Hernández, Conrad M Albrecht, Xiao Xiang Zhu
pretraining, self-supervised learning, multimodal, Sentinel-1/2
Boosting High Resolution Image Classification with Scaling-up Transformers: Second Place Solution of the CVPPA2023 Deep Nutrient Deficiency Challenge, Tech Report 2023.
Yi Wang
competition, classification, aerial
SSL4EO-L: Datasets and foundation models for landsat imagery, NeurIPS 2023 datasets and benchmarks.
Adam Stewart, Nils Lehmann, Isaac Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
pretraining, dataset, self-supervised learning, Landsat
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation, IEEE GRSM 2023.
Yi Wang, Nassim Ait Ali Braham, Zhitong Xiong, Chenying Liu, Conrad M Albrecht, Xiao Xiang Zhu
pretraining, dataset&benchmark, self-supervised learning, Sentinel-1/2
Automatic Detection of Building Displacements Through Unsupervised Learning From InSAR Data, IEEE JSTARS 2023.
Rıdvan Salih Kuzu, Leonardo Bagaglini, Yi Wang, Corneliu Octavian Dumitru, Nassim Ait Ali Braham, Giorgio Pasquali, Filippo Santarelli, Francesco Trillo, Sudipan Saha, Xiao Xiang Zhu
unsupervised learning, anomaly detection, time-series, building, Sentinel-1
Gamus: A geometry-aware multi-modal semantic segmentation benchmark for remote sensing data, Arxiv 2023.
Zhitong Xiong, Sining Chen, Yi Wang, Lichao Mou, Xiao Xiang Zhu
dataset&benchmark, segmentation, multimodal, Aerial/DSM
Peaks Fusion assisted Early-stopping Strategy for Overhead Imagery Segmentation with Noisy Labels, IEEE BigData 2022.
Chenying Liu, Conrad M Albrecht, Yi Wang, Xiao Xiang Zhu
segmentation, weakly-supervised learning, noisy label
Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection, IEEE BigData 2022.
Yi Wang, Chenying Liu, Arti Tiwari, Micha Silver, Arnon Karnieli, Xiao Xiang Zhu, Conrad M Albrecht
competition, segmentation, archeology, Aerial/DEM
Earthnets: Empowering ai in earth observation, IEEE GRSM 2024.
Zhitong Xiong, Fahong Zhang, Yi Wang, Yilei Shi, Xiao Xiang Zhu
survey, dataset&benchmarks, platform
Self-supervised learning in remote sensing: A review, IEEE GRSM 2022.
Yi Wang, Conrad M Albrecht, Nassim Ait Ali Braham, Lichao Mou, Xiao Xiang Zhu
survey, self-supervised learning
Monitoring urban forests from auto-generated segmentation maps, IGARSS 2022.
Conrad M Albrecht, Chenying Liu, Yi Wang, Levente Klein, Xiao Xiang Zhu
segmentation, weakly-supervised learning, noisy label, NAIP/LiDAR
Self-supervised vision transformers for joint SAR-optical representation learning, IGARSS 2022.
Yi Wang, Conrad M Albrecht, Xiao Xiang Zhu
pretraining, self-supervised learning, multimodal, Sentinel-1/2
Machine-learned 3D building vectorization from satellite imagery, CVPR 2021 EarthVision Workshop.
Yi Wang, Stefano Zorzi, Ksenia Bittner
vectorization, segmentation, 3D, building, WorldView/DSM
Spatial distribution and temporal variation of aerosol optical depth and radiative effect in South China and its adjacent area, AE 2018.
Ming Zhang, Yi Wang, Yingying Ma, Lunche Wang, Wei Gong, Boming Liu
data analysis, atmosphere, air pollution, MODIS/OMI