Cordelia Schmid is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their primary field of study is Computer Science, with a focus on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Signal Processing, and Computational Mechanics.
Their research covers a range of topics such as Multimodal Machine Learning Applications, Human Pose and Action Recognition, Domain Adaptation and Few-Shot Learning, Advanced Image and Video Retrieval Techniques, Advanced Vision and Imaging, Video Analysis and Summarization, and Anomaly Detection Techniques and Applications.
Cordelia Schmid has contributed to several recent papers, including:
They frequently coauthor work with other researchers, including:
Publications by Cordelia Schmid are often featured in prominent venues, with a significant number appearing in:
K. Mikolajczyk;C. Schmid
S. Lazebnik;C. Schmid;J. Ponce
K. Mikolajczyk;C. Schmid
Krystian Mikolajczyk;Cordelia Schmid
I. Laptev;M. Marszalek;C. Schmid;B. Rozenfeld
K. Mikolajczyk;T. Tuytelaars;C. Schmid;A. Zisserman
Heng Wang;Cordelia Schmid
H Jégou;M Douze;C Schmid
Herve Jegou;Matthijs Douze;Cordelia Schmid;Patrick Perez
Jianguo Zhang;M. Marszalek;S. Lazebnik;C. Schmid
Cordelia Schmid;Roger Mohr;Christian Bauckhage
Alexander Klaser;Marcin Marszałek;Cordelia Schmid
Navneet Dalal;Bill Triggs;Cordelia Schmid
C. Schmid;R. Mohr
Herve Jegou;Matthijs Douze;Cordelia Schmid
K. Mikolajczyk;C. Schmid
Heng Wang;Alexander Klaser;Cordelia Schmid;Cheng-Lin Liu
Heng Wang;Alexander Kläser;Cordelia Schmid;Cheng-Lin Liu
K. Mikolajczyk;C. Schmid
H. Jegou;F. Perronnin;M. Douze;J. Sanchez
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Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 189
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