Leonid Sigal
About
Leonid Sigal has authored 99 papers that have received a total of 3.7k indexed citations.
This includes 85 papers in Computer Vision and Pattern Recognition, 46 papers in Artificial Intelligence and 10 papers in Computational Mechanics. The topics of these papers are Multimodal Machine Learning Applications (36 papers), Human Pose and Action Recognition (36 papers) and Domain Adaptation and Few-Shot Learning (28 papers). Leonid Sigal is often cited by papers focused on Multimodal Machine Learning Applications (36 papers), Human Pose and Action Recognition (36 papers) and Domain Adaptation and Few-Shot Learning (28 papers) and collaborates with scholars based in United States, Canada and China. Leonid Sigal's co-authors include Yanwei Fu, Michael J. Black, Michalis Raptis, Stan Sclaroff and Yu‐Gang Jiang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and ACM Transactions on Graphics.
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