Krishna Kumar Singh

11 papers and 272 indexed citations i.

Krishna Kumar Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Krishna Kumar Singh has authored 11 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Krishna Kumar Singh’s work include Generative Adversarial Networks and Image Synthesis (6 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Krishna Kumar Singh is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (6 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Krishna Kumar Singh collaborates with scholars based in United States and Israel. Krishna Kumar Singh's co-authors include Yong Jae Lee, Utkarsh Ojha, Jingwan Lu, Gaurav Parmar, Jun-Yan Zhu, Yijun Li, Yuheng Li, Dhruv Mahajan, Matt Feiszli and Deepti Ghadiyaram and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).