Conrad M. Albrecht

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 40

Top Topics

Change Detection

Supervised Learning

Geospatial Data

Top Venues

IBM J. Res. Dev.

Publications

Chenying Liu, Conrad M. Albrecht, Yi Wang, Qingyu Li, Xiao Xiang Zhu
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation. CoRR (2024)
Chenying Liu, Conrad M. Albrecht, Yi Wang, Qingyu Li, Xiaoxiang Zhu
AIO2: Online Correction of Object Labels for Deep Learning With Incomplete Annotation in Remote Sensing Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Yi Wang, Conrad M. Albrecht, Xiaoxiang Zhu
Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining. CoRR (2024)
Chenying Liu, Hunsoo Song, Anamika Shreevastava, Conrad M. Albrecht
AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing. CoRR (2024)
Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiaoxiang Zhu
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation. CoRR (2024)
Masato Sakai, Marcus Freitag, Akihisa Sakurai, Conrad M. Albrecht, Hendrik F. Hamann
Climatic & Anthropogenic Hazards to the Nasca World Heritage: Application of Remote Sensing, AI, and Flood Modelling. CoRR (2024)
Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu
Task Specific Pretraining with Noisy Labels for Remote sensing Image Segmentation. CoRR (2024)
Yi Wang, Hugo Hernández Hernández, Conrad M. Albrecht, Xiao Xiang Zhu
Feature Guided Masked Autoencoder for Self-supervised Learning in Remote Sensing. CoRR (2023)
Wenlu Sun, Yao Sun, Chenying Liu, Conrad M. Albrecht
DeepLCZChange: A Remote Sensing Deep Learning Model Architecture for Urban Climate Resilience. CoRR (2023)
Wenlu Sun, Yao Sun, Chenying Liu, Conrad M. Albrecht
. IGARSS (2023)
Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu
DeCUR: decoupling common & unique representations for multimodal self-supervision. CoRR (2023)
Juan Nathaniel, Gabrielle Nyirjesy, Campbell D. Watson, Conrad M. Albrecht, Levente J. Klein
Above Ground Carbon Biomass Estimate with Physics-Informed Deep Network. IGARSS (2023)
Shivam Pande, Nassim Ait Ali Braham, Yi Wang, Conrad M. Albrecht, Biplab Banerjee, Xiao Xiang Zhu
Semi-Supervised Learning for hyperspectral images by non parametrically predicting view assignment. CoRR (2023)
Qian Song, Conrad M. Albrecht, Zhitong Xiong, Xiao Xiang Zhu
Biomass Estimation and Uncertainty Quantification From Tree Height. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Shivam Pande, Nassim Ait Ali Braham, Yi Wang, Conrad M. Albrecht, Biplab Banerjee, Xiao Xiang Zhu
. IGARSS (2023)
Yi Wang, Chenying Liu, Arti Tiwari, Micha Silver, Arnon Karnieli, Xiao Xiang Zhu, Conrad M. Albrecht
Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection. CoRR (2023)
Conrad M. Albrecht, Chenying Liu, Yi Wang, Levente J. Klein, Xiao Xiang Zhu
Monitoring Urban Forests from Auto-Generated Segmentation Maps. CoRR (2022)
Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu
Peaks Fusion assisted Early-stopping Strategy for Overhead Imagery Segmentation with Noisy Labels. Big Data (2022)
Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Lichao Mou, Xiao Xiang Zhu
Self-supervised Learning in Remote Sensing: A Review. CoRR (2022)
Conrad M. Albrecht, Chenying Liu, Yi Wang, Levente J. Klein, Xiao Xiang Zhu
Monitoring Urban Forests from Auto-Generated Segmentation MAPS. IGARSS (2022)
Yi Wang, Chenying Liu, Arti Tiwari, Micha Silver, Arnon Karnieli, Xiao Xiang Zhu, Conrad M. Albrecht
Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection. Big Data (2022)
Yi Wang, Conrad M. Albrecht, Xiao Xiang Zhu
Self-Supervised Vision Transformers for Joint SAR-Optical Representation Learning. IGARSS (2022)
Juan Nathaniel, Levente J. Klein, Campbell D. Watson, Gabrielle Nyirjesy, Conrad M. Albrecht
Aboveground carbon biomass estimate with Physics-informed deep network. CoRR (2022)
Yi Wang, Conrad M. Albrecht, Xiao Xiang Zhu
Self-supervised Vision Transformers for Joint SAR-optical Representation Learning. CoRR (2022)
Yi Wang, Nassim Ait Ali Braham, Zhitong Xiong, Chenying Liu, Conrad M. Albrecht, Xiao Xiang Zhu
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation. CoRR (2022)
Conrad M. Albrecht, Fernando J. Marianno, Levente J. Klein
AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning. CoRR (2022)
Qian Song, Conrad M. Albrecht, Zhitong Xiong, Xiao Xiang Zhu
Towards Global Forest Biomass Estimators from Tree Height Data. IGARSS (2022)
Levente J. Klein, Wang Zhou, Conrad M. Albrecht
Quantification of Carbon Sequestration in Urban Forests. CoRR (2021)
Conrad M. Albrecht, Fernando J. Marianno, Levente J. Klein
AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning. IEEE BigData (2021)
Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu
Map Generation from Large Scale Incomplete and Inaccurate Data Labels. KDD (2020)
Conrad M. Albrecht, Marcus Freitag, Theodore G. van Kessel, Siyuan Lu, Hendrik F. Hamann
Event Clustering & Event Series Characterization on Expected Frequency. CoRR (2020)
Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu
Map Generation from Large Scale Incomplete and Inaccurate Data Labels. CoRR (2020)
Conrad M. Albrecht, Bruce Elmegreen, Oki Gunawan, Hendrik F. Hamann, Levente J. Klein, Siyuan Lu, F. Mariano, Carlo Siebenschuh, Johannes Schmude
Next-generation geospatial-temporal information technologies for disaster management. IBM J. Res. Dev. 64 (1/2) (2020)
Conrad M. Albrecht, Chris Fisher, Marcus Freitag, Hendrik F. Hamann, Sharathchandra Pankanti, Florencia Pezzutti, Francesca Rossi
Learning and Recognizing Archeological Features from LiDAR Data. CoRR (2020)
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
Change Detection from Remote Sensing to Guide OpenStreetMap Labeling. ISPRS Int. J. Geo Inf. 9 (7) (2020)
Levente J. Klein, Conrad M. Albrecht, Wang Zhou, Carlo Siebenschuh, Sharathchandra Pankanti, Hendrik F. Hamann, Siyuan Lu
N-dimensional geospatial data and analytics for critical infrastructure risk assessment. IEEE BigData (2019)
Conrad M. Albrecht, Chris Fisher, Marcus Freitag, Hendrik F. Hamann, Sharathchandra Pankanti, Florencia Pezzutti, Francesca Rossi
Learning and Recognizing Archeological Features from LiDAR Data. IEEE BigData (2019)
Conrad M. Albrecht, Marcus Freitag, Theodore G. van Kessel, Siyuan Lu, Hendrik F. Hamann
Event clustering & event series characterization on expected frequency. IEEE BigData (2017)
Siyuan Lu, Xiaoyan Shao, Marcus Freitag, Levente J. Klein, Jason D. Renwick, Fernando J. Marianno, Conrad M. Albrecht, Hendrik F. Hamann
IBM PAIRS curated big data service for accelerated geospatial data analytics and discovery. IEEE BigData (2016)
G. Badr, Levente J. Klein, Marcus Freitag, Conrad M. Albrecht, Fernando J. Marianno, Siyuan Lu, Xiaoyan Shao, Nigel Hinds, Gerrit Hoogenboom, Hendrik F. Hamann
Toward large-scale crop production forecasts for global food security. IBM J. Res. Dev. 60 (5/6) (2016)
Levente J. Klein, Fernando J. Marianno, Conrad M. Albrecht, Marcus Freitag, Siyuan Lu, Nigel Hinds, Xiaoyan Shao, Sergio Bermudez Rodriguez, Hendrik F. Hamann
PAIRS: A scalable geo-spatial data analytics platform. IEEE BigData (2015)