Rohan Anil

4 papers and 1.5k indexed citations i.

Rohan Anil is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Rohan Anil has authored 4 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Management Science and Operations Research. Recurrent topics in Rohan Anil’s work include Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Multimodal Machine Learning Applications (1 paper). Rohan Anil is often cited by papers focused on Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Multimodal Machine Learning Applications (1 paper). Rohan Anil collaborates with scholars based in United States and Germany. Rohan Anil's co-authors include Glen Anderson, Jeremiah Harmsen, Xiaobing Liu, Mustafa Ispir, Tal Shaked, Wei Koong Chai, Heng-Tze Cheng, Vihan Jain, Hemal Shah and Lichan Hong and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and Neural Information Processing Systems.