Leonid Sigal

100 papers and 3.7k indexed citations i.

Leonid Sigal has authored 100 papers that have received a total of 3.7k indexed citations. This includes 86 papers in Computer Vision and Pattern Recognition, 47 papers in Artificial Intelligence and 10 papers in Computational Mechanics. The topics of these papers are Multimodal Machine Learning Applications (37 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 (37 papers), Human Pose and Action Recognition (36 papers) and Domain Adaptation and Few-Shot Learning (28 papers) and collaborates with scholars based in Canada, United States and China. Leonid Sigal's co-authors include Yanwei Fu, Michalis Raptis, Michael J. Black, Yu‐Gang Jiang and Stan Sclaroff 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.