Niv Giladi

3 papers and 128 indexed citations i.

Niv Giladi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Niv Giladi has authored 3 papers receiving a total of 128 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Electrical and Electronic Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Niv Giladi’s work include Machine Learning and Data Classification (2 papers), Advanced Neural Network Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Niv Giladi is often cited by papers focused on Machine Learning and Data Classification (2 papers), Advanced Neural Network Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Niv Giladi collaborates with scholars based in Israel, United States and Switzerland. Niv Giladi's co-authors include Dan Levi, Ethan Fetaya, Daniel Soudry, Torsten Hoefler, Itay Hubara, Tal Ben‐Nun, Elad Hoffer and Mor Shpigel Nacson and has published in prestigious journals such as Sensors, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).