Meng-Li Shih

2 papers and 149 indexed citations i.

Meng-Li Shih is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Meng-Li Shih has authored 2 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Cognitive Neuroscience and 1 paper in Human-Computer Interaction. Recurrent topics in Meng-Li Shih’s work include Advanced Vision and Imaging (2 papers), Computer Graphics and Visualization Techniques (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Meng-Li Shih is often cited by papers focused on Advanced Vision and Imaging (2 papers), Computer Graphics and Visualization Techniques (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Meng-Li Shih collaborates with scholars based in United States, Taiwan and Israel. Meng-Li Shih's co-authors include Shih-Yang Su, Johannes Kopf, Jia‐Bin Huang, Srenivas Varadarajan, Yi‐Chun Chen, Cheng Sun, Liwei Chan and Min Sun and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).