Rajat Singh

4 papers and 256 indexed citations i.

Rajat Singh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Rajat Singh has authored 4 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Aerospace Engineering. Recurrent topics in Rajat Singh’s work include Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Advanced Neural Network Applications (1 paper). Rajat Singh is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Advanced Neural Network Applications (1 paper). Rajat Singh collaborates with scholars based in United States, The Netherlands and Germany. Rajat Singh's co-authors include Kuan–Chuan Peng, Ziyan Wu, Prithviraj Dhar, Rama Chellappa, Shashanka Venkataramanan, Abhijit Mahalanobis, Srikrishna Karanam, Dimitris Metaxas and Bo Liu and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).