Conrad M. Albrecht

57 papers A* 1B 2C 10Journal 37Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
CromSS: Cross-Modal Pretraining With Noisy Labels for Remote Sensing Image Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu
2025 J jnl
Feature Guided Masked Autoencoder for Self-Supervised Learning in Remote Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yi Wang, Hugo Hernández Hernández, Conrad M. Albrecht, Xiao Xiang Zhu
2025 J jnl
Hyperspectral Vision Transformers for Greenhouse Gas Estimations from Space.
CoRR
Ruben Gonzalez Avilés, Linus Scheibenreif, Nassim Ait Ali Braham, Benedikt Blumenstiel, Thomas Brunschwiler, Ranjini B. Guruprasad, Damian Borth, Conrad M. Albrecht, Paolo Fraccaro, Devyani Lambhate, Johannes Jakubik
2025 J jnl
Lossy Neural Compression for Geospatial Analytics: A Review.
CoRR
Carlos Gomes, Isabelle Wittmann, Damien Robert, Johannes Jakubik, Tim Reichelt, Michele Martone, Stefano Maurogiovanni, Rikard Vinge, Jonas Hurst, Erik Scheurer, Rocco Sedona, Thomas Brunschwiler, Stefan Kesselheim, Matej Batic, Philip Stier, Jan Dirk Wegner, Gabriele Cavallaro, Edzer J. Pebesma, Michael Marszalek, Miguel Angel Belenguer-Plomer, Kennedy Adriko, Paolo Fraccaro, Romeo Kienzler, Rania Briq, Sabrina Benassou, Michele Lazzarini, Conrad M. Albrecht
2025 J jnl
Multimodal GNSS-R self-supervised learning as a generalist Earth surface monitor.
Int. J. Appl. Earth Obs. Geoinformation
Daixin Zhao, Konrad Heidler, Milad Asgarimehr, Conrad M. Albrecht, Jens Wickert, Xiao Xiang Zhu, Lichao Mou
2025 J jnl
Multispectral to Hyperspectral using Pretrained Foundational model.
CoRR
Ruben Gonzalez, Conrad M. Albrecht, Nassim Ait Ali Braham, Devyani Lambhate, João Lucas de Sousa Almeida, Paolo Fraccaro, Benedikt Blumenstiel, Thomas Brunschwiler, Ranjini Bangalore
2025 J jnl
NeuCo-Bench: A Novel Benchmark Framework for Neural Embeddings in Earth Observation.
CoRR
Rikard Vinge, Isabelle Wittmann, Jannik Schneider, Michael Marszalek, Luis Gilch, Thomas Brunschwiler, Conrad M. Albrecht
2025 J jnl
SSL4EO-S12 v1.1: A Multimodal, Multiseasonal Dataset for Pretraining, Updated.
CoRR
Benedikt Blumenstiel, Nassim Ait Ali Braham, Conrad M. Albrecht, Stefano Maurogiovanni, Paolo Fraccaro
2025 J jnl
SpectralEarth: Training Hyperspectral Foundation Models at Scale.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Nassim Ait Ali Braham, Conrad M. Albrecht, Julien Mairal, Jocelyn Chanussot, Yi Wang, Xiao Xiang Zhu
2024 J jnl
AIO2: Online Correction of Object Labels for Deep Learning With Incomplete Annotation in Remote Sensing Image Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Chenying Liu, Conrad M. Albrecht, Yi Wang, Qingyu Li, Xiao Xiang Zhu
2024 J jnl
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation.
CoRR
Chenying Liu, Conrad M. Albrecht, Yi Wang, Qingyu Li, Xiao Xiang Zhu
2024 C conf
AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing.
IGARSS
Chenying Liu, Hunsoo Song, Anamika Shreevastava, Conrad M. Albrecht
2024 J jnl
AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing.
CoRR
Chenying Liu, Hunsoo Song, Anamika Shreevastava, Conrad M. Albrecht
2024 C conf
Climatic & Anthropogenic Hazards to the Nasca World Heritage: Application of Remote Sensing, AI, and Flood Modelling.
IGARSS
Masato Sakai, Marcus Freitag, Akihisa Sakurai, Conrad M. Albrecht, Hendrik F. Hamann
2024 J jnl
Climatic & Anthropogenic Hazards to the Nasca World Heritage: Application of Remote Sensing, AI, and Flood Modelling.
CoRR
Masato Sakai, Marcus Freitag, Akihisa Sakurai, Conrad M. Albrecht, Hendrik F. Hamann
2024 J jnl
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation.
CoRR
Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu
2024 — conf
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning.
ECCV (29)
Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu
2024 J jnl
Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining.
CoRR
Yi Wang, Conrad M. Albrecht, Xiao Xiang Zhu
2024 C conf
Multi-Label Guided Supervised Contrastive Learning for Earth Observation Pretraining.
IGARSS
Yi Wang, Conrad M. Albrecht, Xiao Xiang Zhu
2024 J jnl
Multilabel-Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining.
IEEE Trans. Geosci. Remote. Sens.
Yi Wang, Conrad M. Albrecht, Xiao Xiang Zhu
2024 J jnl
SpectralEarth: Training Hyperspectral Foundation Models at Scale.
CoRR
Nassim Ait Ali Braham, Conrad M. Albrecht, Julien Mairal, Jocelyn Chanussot, Yi Wang, Xiao Xiang Zhu
2024 C conf
Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation.
IGARSS
Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu
2024 J jnl
Task Specific Pretraining with Noisy Labels for Remote sensing Image Segmentation.
CoRR
Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu
2023 C conf
Above Ground Carbon Biomass Estimate with Physics-Informed Deep Network.
IGARSS
Juan Nathaniel, Gabrielle Nyirjesy, Campbell D. Watson, Conrad M. Albrecht, Levente J. Klein
2023 J jnl
Biomass Estimation and Uncertainty Quantification From Tree Height.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Qian Song, Conrad M. Albrecht, Zhitong Xiong, Xiao Xiang Zhu
2023 J jnl
DeCUR: decoupling common & unique representations for multimodal self-supervision.
CoRR
Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu
2023 J jnl
Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection.
CoRR
Yi Wang, Chenying Liu, Arti Tiwari, Micha Silver, Arnon Karnieli, Xiao Xiang Zhu, Conrad M. Albrecht
2023 C conf
DeepLCZChange: A REMOTE SENSING DEEP LEARNING MODEL ARCHITECTURE FOR URBAN CLIMATE RESILIENCE
IGARSS
Wenlu Sun, Yao Sun, Chenying Liu, Conrad M. Albrecht
2023 J jnl
DeepLCZChange: A Remote Sensing Deep Learning Model Architecture for Urban Climate Resilience.
CoRR
Wenlu Sun, Yao Sun, Chenying Liu, Conrad M. Albrecht
2023 J jnl
Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing.
CoRR
Yi Wang, Hugo Hernández Hernández, Conrad M. Albrecht, Xiao Xiang Zhu
2023 C conf
Semi-Supervised Learning for Hyperspectral Images by Non Parametrically Predicting View Assignment
IGARSS
Shivam Pande, Nassim Ait Ali Braham, Yi Wang, Conrad M. Albrecht, Biplab Banerjee, Xiao Xiang Zhu
2023 J jnl
Semi-Supervised Learning for hyperspectral images by non parametrically predicting view assignment.
CoRR
Shivam Pande, Nassim Ait Ali Braham, Yi Wang, Conrad M. Albrecht, Biplab Banerjee, Xiao Xiang Zhu
2022 J jnl
Aboveground carbon biomass estimate with Physics-informed deep network.
CoRR
Juan Nathaniel, Levente J. Klein, Campbell D. Watson, Gabrielle Nyirjesy, Conrad M. Albrecht
2022 J jnl
AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning.
CoRR
Conrad M. Albrecht, Fernando J. Marianno, Levente J. Klein
2022 B conf
Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection.
IEEE Big Data
Yi Wang, Chenying Liu, Arti Tiwari, Micha Silver, Arnon Karnieli, Xiao Xiang Zhu, Conrad M. Albrecht
2022 C conf
Monitoring Urban Forests from Auto-Generated Segmentation MAPS.
IGARSS
Conrad M. Albrecht, Chenying Liu, Yi Wang, Levente J. Klein, Xiao Xiang Zhu
2022 J jnl
Monitoring Urban Forests from Auto-Generated Segmentation Maps.
CoRR
Conrad M. Albrecht, Chenying Liu, Yi Wang, Levente J. Klein, Xiao Xiang Zhu
2022 B conf
Peaks Fusion assisted Early-stopping Strategy for Overhead Imagery Segmentation with Noisy Labels.
IEEE Big Data
Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu
2022 J jnl
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation.
CoRR
Yi Wang, Nassim Ait Ali Braham, Zhitong Xiong, Chenying Liu, Conrad M. Albrecht, Xiao Xiang Zhu
2022 C conf
Self-Supervised Vision Transformers for Joint SAR-Optical Representation Learning.
IGARSS
Yi Wang, Conrad M. Albrecht, Xiao Xiang Zhu
2022 J jnl
Self-supervised Learning in Remote Sensing: A Review.
CoRR
Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Lichao Mou, Xiao Xiang Zhu
2022 J jnl
Self-supervised Vision Transformers for Joint SAR-optical Representation Learning.
CoRR
Yi Wang, Conrad M. Albrecht, Xiao Xiang Zhu
2022 C conf
Towards Global Forest Biomass Estimators from Tree Height Data.
IGARSS
Qian Song, Conrad M. Albrecht, Zhitong Xiong, Xiao Xiang Zhu
2021 — conf
AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning.
IEEE BigData
Conrad M. Albrecht, Fernando J. Marianno, Levente J. Klein
2021 J jnl
Quantification of Carbon Sequestration in Urban Forests.
CoRR
Levente J. Klein, Wang Zhou, Conrad M. Albrecht
2020 J jnl
Change Detection from Remote Sensing to Guide OpenStreetMap Labeling.
ISPRS Int. J. Geo Inf.
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
2020 J jnl
Event Clustering & Event Series Characterization on Expected Frequency.
CoRR
Conrad M. Albrecht, Marcus Freitag, Theodore G. van Kessel, Siyuan Lu, Hendrik F. Hamann
2020 J jnl
Learning and Recognizing Archeological Features from LiDAR Data.
CoRR
Conrad M. Albrecht, Chris Fisher, Marcus Freitag, Hendrik F. Hamann, Sharathchandra Pankanti, Florencia Pezzutti, Francesca Rossi
2020 A* conf
Map Generation from Large Scale Incomplete and Inaccurate Data Labels.
KDD
Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu
2020 J jnl
Map Generation from Large Scale Incomplete and Inaccurate Data Labels.
CoRR
Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu
2020 J jnl
Next-generation geospatial-temporal information technologies for disaster management.
IBM J. Res. Dev.
Conrad M. Albrecht, Bruce Elmegreen, Oki Gunawan, Hendrik F. Hamann, Levente J. Klein, Siyuan Lu, F. Mariano, Carlo Siebenschuh, Johannes Schmude
2019 — conf
Learning and Recognizing Archeological Features from LiDAR Data.
IEEE BigData
Conrad M. Albrecht, Chris Fisher, Marcus Freitag, Hendrik F. Hamann, Sharathchandra Pankanti, Florencia Pezzutti, Francesca Rossi
2019 — conf
N-dimensional geospatial data and analytics for critical infrastructure risk assessment.
IEEE BigData
Levente J. Klein, Conrad M. Albrecht, Wang Zhou, Carlo Siebenschuh, Sharathchandra Pankanti, Hendrik F. Hamann, Siyuan Lu
2017 — conf
Event clustering & event series characterization on expected frequency.
IEEE BigData
Conrad M. Albrecht, Marcus Freitag, Theodore G. van Kessel, Siyuan Lu, Hendrik F. Hamann
2016 — conf
IBM PAIRS curated big data service for accelerated geospatial data analytics and discovery.
IEEE BigData
Siyuan Lu, Xiaoyan Shao, Marcus Freitag, Levente J. Klein, Jason D. Renwick, Fernando J. Marianno, Conrad M. Albrecht, Hendrik F. Hamann
2016 J jnl
Toward large-scale crop production forecasts for global food security.
IBM J. Res. Dev.
G. Badr, Levente J. Klein, Marcus Freitag, Conrad M. Albrecht, Fernando J. Marianno, Siyuan Lu, Xiaoyan Shao, Nigel Hinds, Gerrit Hoogenboom, Hendrik F. Hamann
2015 — conf
PAIRS: A scalable geo-spatial data analytics platform.
IEEE BigData
Levente J. Klein, Fernando J. Marianno, Conrad M. Albrecht, Marcus Freitag, Siyuan Lu, Nigel Hinds, Xiaoyan Shao, Sergio Bermudez Rodriguez, Hendrik F. Hamann