Yi Wang

According to our database, Yi Wang authored at least 27 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Feature Guided Masked Autoencoder for Self-Supervised Learning in Remote Sensing.

Yi Wang, Hugo Hernández Hernández, Conrad M. Albrecht, Xiaoxiang Zhu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024

Multilabel-Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining.

Yi Wang, Conrad M. Albrecht, Xiaoxiang Zhu

IEEE Trans. Geosci. Remote. Sens., 2024

AIO2: Online Correction of Object Labels for Deep Learning With Incomplete Annotation in Remote Sensing Image Segmentation.

Chenying Liu, Conrad M. Albrecht, Yi Wang, Qingyu Li, Xiaoxiang Zhu

IEEE Trans. Geosci. Remote. Sens., 2024

QuickQuakeBuildings: Post-Earthquake SAR-Optical Dataset for Quick Damaged-Building Detection.

Yao Sun, Yi Wang, Michael Eineder

IEEE Geosci. Remote. Sens. Lett., 2024

SpectralEarth: Training Hyperspectral Foundation Models at Scale.

Nassim Ait Ali Braham, Conrad M. Albrecht, Julien Mairal, Jocelyn Chanussot, Yi Wang, Xiaoxiang Zhu

CoRR, 2024

Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining.

Yi Wang, Conrad M. Albrecht, Xiaoxiang Zhu

CoRR, 2024

On the Foundations of Earth and Climate Foundation Models.

Xiao Xiang Zhu, Zhitong Xiong, Yi Wang, Adam J. Stewart, Konrad Heidler, Yuanyuan Wang, Zhenghang Yuan, Thomas Dujardin, Qingsong Xu, Yilei Shi

CoRR, 2024

CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation.

Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiaoxiang Zhu

CoRR, 2024

Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities.

Zhitong Xiong, Yi Wang, Fahong Zhang, Adam J. Stewart, Joëlle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, Xiao Xiang Zhu

CoRR, 2024

One for All: Toward Unified Foundation Models for Earth Vision.

Zhitong Xiong, Yi Wang, Fahong Zhang, Xiao Xiang Zhu

Proceedings of the IGARSS 2024, 2024

Multi-Label Guided Supervised Contrastive Learning for Earth Observation Pretraining.

Yi Wang, Conrad M. Albrecht, Xiao Xiang Zhu

Proceedings of the IGARSS 2024, 2024

Post-Earthquake SAR-Optical Dataset for Quick Damaged-Building Detection.

Yao Sun, Yi Wang, Michael Eineder

Proceedings of the IGARSS 2024, 2024

Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation.

Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu

Proceedings of the IGARSS 2024, 2024

Decoupling Common and Unique Representations for Multimodal Self-supervised Learning.

Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Automatic Detection of Building Displacements Through Unsupervised Learning From InSAR Data.

Ridvan Salih Kuzu, Leonardo Bagaglini, Yi Wang, Corneliu Octavian Dumitru, Nassim Ait Ali Braham, Giorgio Pasquali, Filippo Santarelli, Francesco Trillo, Sudipan Saha, Xiao Xiang Zhu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

DeCUR: decoupling common & unique representations for multimodal self-supervision.

Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu

CoRR, 2023

Semi-Supervised Learning for hyperspectral images by non parametrically predicting view assignment.

Shivam Pande, Nassim Ait Ali Braham, Yi Wang, Conrad M. Albrecht, Biplab Banerjee, Xiao Xiang Zhu

CoRR, 2023

GAMUS: A Geometry-aware Multi-modal Semantic Segmentation Benchmark for Remote Sensing Data.

Zhitong Xiong, Sining Chen, Yi Wang, Lichao Mou, Xiao Xiang Zhu

CoRR, 2023

Semi-Supervised Learning for Hyperspectral Images by Non Parametrically Predicting View Assignment^CRediT.

Shivam Pande, Nassim Ait Ali Braham, Yi Wang, Conrad M. Albrecht, Biplab Banerjee, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation.

Yi Wang, Nassim Ait Ali Braham, Zhitong Xiong, Chenying Liu, Conrad M. Albrecht, Xiao Xiang Zhu

CoRR, 2022

EarthNets: Empowering AI in Earth Observation.

Zhitong Xiong, Fahong Zhang, Yi Wang, Yilei Shi, Xiao Xiang Zhu

CoRR, 2022

Self-supervised Learning in Remote Sensing: A Review.

Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Lichao Mou, Xiao Xiang Zhu

CoRR, 2022

Self-Supervised Vision Transformers for Joint SAR-Optical Representation Learning.

Yi Wang, Conrad M. Albrecht, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Monitoring Urban Forests from Auto-Generated Segmentation MAPS.

Conrad M. Albrecht, Chenying Liu, Yi Wang, Levente J. Klein, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection.

Yi Wang, Chenying Liu, Arti Tiwari, Micha Silver, Arnon Karnieli, Xiao Xiang Zhu, Conrad M. Albrecht

Proceedings of the IEEE International Conference on Big Data, 2022

Peaks Fusion assisted Early-stopping Strategy for Overhead Imagery Segmentation with Noisy Labels.

Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Machine-Learned 3D Building Vectorization From Satellite Imagery.

Yi Wang, Stefano Zorzi, Ksenia Bittner

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021