Luming Tang

4 papers and 189 indexed citations i.

Luming Tang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Luming Tang has authored 4 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Luming Tang’s work include Domain Adaptation and Few-Shot Learning (2 papers), Computer Graphics and Visualization Techniques (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Luming Tang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Computer Graphics and Visualization Techniques (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Luming Tang collaborates with scholars based in United States and China. Luming Tang's co-authors include Davis Wertheimer, Bharath Hariharan, Yexiang Xue, Di Chen, Carla P. Gomes, Neal Wadhwa, Michael Rubinstein, Yael Pritch, Aleksander Holynski and David Jacobs and has published in prestigious journals such as ACM Transactions on Graphics, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Proceedings of the AAAI Conference on Artificial Intelligence.