Ziad Al-Halah

61 total papers · 1.4k total citations
5 papers, 59 citations indexed

Ziad Al-Halah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ziad Al-Halah has authored 5 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Ziad Al-Halah’s work include Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Optimization and Search Problems (1 paper). Ziad Al-Halah is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Multimodal Machine Learning Applications (2 papers) and Optimization and Search Problems (1 paper). Ziad Al-Halah collaborates with scholars based in United States, Germany and Israel. Ziad Al-Halah's co-authors include Santhosh Kumar Ramakrishnan, Kristen Grauman, Jitendra Malik, Devendra Singh Chaplot, Rainer Stiefelhagen, Esam Ghaleb, Makarand Tapaswi, Hazım Kemal Ekenel, Changan Chen and Ruohan Gao and has published in prestigious journals such as Pattern Recognition Letters, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Data Archiving and Networked Services (DANS).