Matthew A. Chan

3 papers and 444 indexed citations i.

Matthew A. Chan is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Electrical and Electronic Engineering. According to data from OpenAlex, Matthew A. Chan has authored 3 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Computer Graphics and Computer-Aided Design and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Matthew A. Chan’s work include Computer Graphics and Visualization Techniques (2 papers), Advanced Vision and Imaging (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Matthew A. Chan is often cited by papers focused on Computer Graphics and Visualization Techniques (2 papers), Advanced Vision and Imaging (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Matthew A. Chan collaborates with scholars based in United States. Matthew A. Chan's co-authors include Eric R. Chan, Tero Karras, Koki Nagano, Shalini De Mello, Gordon Wetzstein, Leonidas Guibas, Connor Z. Lin, Sameh Khamis, Boxiao Pan and Orazio Gallo and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).