Devin Guillory

14 total papers · 400 total citations
2 papers, 32 citations indexed

Devin Guillory is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Devin Guillory has authored 2 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Devin Guillory’s work include Human Pose and Action Recognition (2 papers), Anomaly Detection Techniques and Applications (1 paper) and Multimodal Machine Learning Applications (1 paper). Devin Guillory is often cited by papers focused on Human Pose and Action Recognition (2 papers), Anomaly Detection Techniques and Applications (1 paper) and Multimodal Machine Learning Applications (1 paper). Devin Guillory collaborates with scholars based in United States, Japan and Argentina. Devin Guillory's co-authors include Trevor Darrell, Bo Li, Sayna Ebrahimi, Shanghang Zhang, Kurt Keutzer, Sean L. Metzger, Xiangyu Yue, Colorado Reed, Shalini Ghosh and Huijuan Xu and has published in prestigious journals such as 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.