Gavriel State

5 papers and 169 indexed citations i.

Gavriel State is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Gavriel State has authored 5 papers receiving a total of 169 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 2 papers in Control and Systems Engineering. Recurrent topics in Gavriel State’s work include Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Multimodal Machine Learning Applications (2 papers). Gavriel State is often cited by papers focused on Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Multimodal Machine Learning Applications (2 papers). Gavriel State collaborates with scholars based in United States, Canada and Switzerland. Gavriel State's co-authors include Aayush Prakash, Stan Birchfield, Eric Cameracci, David Acuna, Omer Shapira, Mark Brophy, Yunrong Guo, Miles Macklin, Yashraj Narang and Marco Hutter and has published in prestigious journals such as IEEE Robotics and Automation Letters, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).