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Bio
Hebert's research primarily centers on computer vision. He has led research on fundamental components, such as scene understanding, object recognition and applying machine learning to computer vision, as well as applications, which include systems that enable older adults and people with disabilities to live more independently. To help meet the needs of a rapidly expanding computer vision industry, he created the nation's first master's degree program in computer vision.
Hebert is a member of both the IEEE Robotics and Automation, and the IEEE Computer societies. Throughout his career, he has published hundreds of refereed papers in journals and conference proceedings, and has contributed to multiple edited volumes. He currently serves as editor-in-chief of the International Journal of Computer Vision.
Hebert is a member of both the IEEE Robotics and Automation, and the IEEE Computer societies. Throughout his career, he has published hundreds of refereed papers in journals and conference proceedings, and has contributed to multiple edited volumes. He currently serves as editor-in-chief of the International Journal of Computer Vision.
Research Interests
Papers共 606 篇Author StatisticsCo-AuthorSimilar Experts
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International Conference on Computer Graphics and Interactive Techniquespp.1-10, (2024)
2023 IEEE/CVF International Conference on Computer Vision (ICCV) (2023): 21481-21492
CoRR (2023): 11264-11271
CoRR (2023)
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CVPR 2023 (2023): 22972-22981
CoRR (2023)
CoRR (2023)
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2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, IROS (2023): 4161-4167
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