Nayyer Aafaq

12 papers and 179 indexed citations i.

Nayyer Aafaq is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Nayyer Aafaq has authored 12 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Nayyer Aafaq’s work include Multimodal Machine Learning Applications (8 papers), Human Pose and Action Recognition (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Nayyer Aafaq is often cited by papers focused on Multimodal Machine Learning Applications (8 papers), Human Pose and Action Recognition (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Nayyer Aafaq collaborates with scholars based in Australia, United States and Pakistan. Nayyer Aafaq's co-authors include Ajmal Mian, Mubarak Shah, Syed Zulqarnain Gilani, Wei Liu, Wei Liu, Naveed Akhtar, Mubarak Shah and Ghulam Mubashar Hassan and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and IEEE Transactions on Information Forensics and Security.