Griffin Lacey

2 papers and 142 indexed citations i.

Griffin Lacey is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Griffin Lacey has authored 2 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Electrical and Electronic Engineering and 1 paper in Biomedical Engineering. Recurrent topics in Griffin Lacey’s work include Advanced Neural Network Applications (1 paper), Gait Recognition and Analysis (1 paper) and CCD and CMOS Imaging Sensors (1 paper). Griffin Lacey is often cited by papers focused on Advanced Neural Network Applications (1 paper), Gait Recognition and Analysis (1 paper) and CCD and CMOS Imaging Sensors (1 paper). Griffin Lacey collaborates with scholars based in Canada and United States. Griffin Lacey's co-authors include Graham W. Taylor, Natalia Neverova, Lex Fridman, Deepak Chandra, Brandon Barbello, Christian Wolf, Shawki Areibi and Paul Chow and has published in prestigious journals such as IEEE Access and arXiv (Cornell University).