Ramakrishna Vedantam

31 total papers · 27.2k total citations
4 papers, 58 citations indexed

Ramakrishna Vedantam is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Ramakrishna Vedantam has authored 4 papers receiving a total of 58 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Ramakrishna Vedantam’s work include Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Explainable Artificial Intelligence (XAI) (1 paper). Ramakrishna Vedantam is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Explainable Artificial Intelligence (XAI) (1 paper). Ramakrishna Vedantam collaborates with scholars based in United States and Israel. Ramakrishna Vedantam's co-authors include Devi Parikh, C. Lawrence Zitnick, Ramprasaath R. Selvaraju, Abhishek Das, Michael Cogswell, Dhruv Batra, David J. Schwab, David López-Paz and Douwe Kiela and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, PubMed and arXiv (Cornell University).