BV
Member Since 2021
Behzad Vahedi
PhD Student, University of Colorado Boulder
Professional Experience
University of Colorado Boulder
PhD Student
2020 - Present
Education
University of California Santa Barbara
Masters
2020
Honors & Awards
Outstanding Student Presentation Award
Received December 2021
Presentation Title: A Comparison Of Classic Deep Learning Architectures For Sea Ice Classification From SAR
Event: 2021 Fall Meeting
Awarding Section: Earth and Space Science Informatics
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AGU Abstracts
Segmentation of Sea Ice in Sentinel-1 SAR with Atrous Convolutions
MACHINE LEARNING AND THE CRYOSPHERE: DATA AND MODELING III ELIGHTNING
cryosphere | 14 december 2023
Morteza Karimzadeh, Rafael Pires de Lima, Behzad V...
Currently, experts in national ice services manually draw ice charts by interpreting remotely sensed data. Given the highly dynamic nature of sea ice ...
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MIPL-Ice: A Multi-Instance Proportion-Label Learning Method for Polygon-Level Sea Ice Classification
A DATA-DRIVEN CRYOSPHERE: INSIGHTS FROM MACHINE LEARNING AND OTHER STATISTICAL METHODS IV ORAL
cryosphere | 16 december 2022
Samira Alkaee Taleghan, Behzad Vahedi, Morteza Kar...
Ice charts that map Arctic sea ice type serve tactical and strategic operational purposes in marine navigation while providing a reference for scienti...
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Semantic Segmentation of Sea Ice Using Multi-scale Spatial Context
A DATA-DRIVEN CRYOSPHERE: INSIGHTS FROM MACHINE LEARNING AND OTHER STATISTICAL METHODS I ONLINE POSTER DISCUSSION
cryosphere | 15 december 2022
Behzad Vahedi, Rafael Pires de Lima, Benjamin Luca...
Semantic segmentation is known to generally benefit from combining local features with global scale context and semantic information. This is especial...
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