Conrad M. Albrecht

According to our database, Conrad M. Albrecht authored at least 37 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• 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

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

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

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

CoRR, 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

Climatic & Anthropogenic Hazards to the Nasca World Heritage: Application of Remote Sensing, AI, and Flood Modelling.

Masato Sakai, Marcus Freitag, Akihisa Sakurai, Conrad M. Albrecht, Hendrik F. Hamann

Proceedings of the IGARSS 2024, 2024

AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing.

Chenying Liu, Hunsoo Song, Anamika Shreevastava, Conrad M. Albrecht

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

Biomass Estimation and Uncertainty Quantification From Tree Height.

Qian Song, Conrad M. Albrecht, Zhitong Xiong, 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

DeepLCZChange: A Remote Sensing Deep Learning Model Architecture for Urban Climate Resilience.

Wenlu Sun, Yao Sun, Chenying Liu, Conrad M. Albrecht

CoRR, 2023

DeepLCZChange: A REMOTE SENSING DEEP LEARNING MODEL ARCHITECTURE FOR URBAN CLIMATE RESILIENCE^CRediT.

Wenlu Sun, Yao Sun, Chenying Liu, Conrad M. Albrecht

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Above Ground Carbon Biomass Estimate with Physics-Informed Deep Network.

Juan Nathaniel, Gabrielle Nyirjesy, Campbell D. Watson, Conrad M. Albrecht, Levente J. Klein

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

Aboveground carbon biomass estimate with Physics-informed deep network.

Juan Nathaniel, Levente J. Klein, Campbell D. Watson, Gabrielle Nyirjesy, Conrad M. Albrecht

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

Towards Global Forest Biomass Estimators from Tree Height Data.

Qian Song, Conrad M. Albrecht, Zhitong Xiong, 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

Quantification of Carbon Sequestration in Urban Forests.

Levente J. Klein, Wang Zhou, Conrad M. Albrecht

CoRR, 2021

AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning.

Conrad M. Albrecht, Fernando J. Marianno, Levente J. Klein

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Change Detection from Remote Sensing to Guide OpenStreetMap Labeling.

Conrad M. Albrecht, Rui Zhang, Xiaodong Cui, Marcus Freitag, Hendrik F. Hamann, Levente J. Klein, Ulrich Finkler, Fernando J. Marianno, Johannes Schmude, Norman Bobroff, Wei Zhang, Carlo Siebenschuh, Siyuan Lu

ISPRS Int. J. Geo Inf., 2020

Next-generation geospatial-temporal information technologies for disaster management.

Conrad M. Albrecht, Bruce Elmegreen, Oki Gunawan, Hendrik F. Hamann, Levente J. Klein, Siyuan Lu, F. Mariano, Carlo Siebenschuh, Johannes Schmude

IBM J. Res. Dev., 2020

Map Generation from Large Scale Incomplete and Inaccurate Data Labels.

Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

N-dimensional geospatial data and analytics for critical infrastructure risk assessment.

Levente J. Klein, Conrad M. Albrecht, Wang Zhou, Carlo Siebenschuh, Sharathchandra Pankanti, Hendrik F. Hamann, Siyuan Lu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Learning and Recognizing Archeological Features from LiDAR Data.

Conrad M. Albrecht, Chris Fisher, Marcus Freitag, Hendrik F. Hamann, Sharathchandra Pankanti, Florencia Pezzutti, Francesca Rossi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017

Event clustering & event series characterization on expected frequency.

Conrad M. Albrecht, Marcus Freitag, Theodore G. van Kessel, Siyuan Lu, Hendrik F. Hamann

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Toward large-scale crop production forecasts for global food security.

G. Badr, Levente J. Klein, Marcus Freitag, Conrad M. Albrecht, Fernando J. Marianno, Siyuan Lu, Xiaoyan Shao, Nigel Hinds, Gerrit Hoogenboom, Hendrik F. Hamann

IBM J. Res. Dev., 2016

IBM PAIRS curated big data service for accelerated geospatial data analytics and discovery.

Siyuan Lu, Xiaoyan Shao, Marcus Freitag, Levente J. Klein, Jason D. Renwick, Fernando J. Marianno, Conrad M. Albrecht, Hendrik F. Hamann

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

PAIRS: A scalable geo-spatial data analytics platform.

Levente J. Klein, Fernando J. Marianno, Conrad M. Albrecht, Marcus Freitag, Siyuan Lu, Nigel Hinds, Xiaoyan Shao, Sergio Bermudez Rodriguez, Hendrik F. Hamann

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015