ProfessorsProfessors of National University of SingaporeAshraf A. Kassim

Ashraf A. Kassim

National University of Singapore

H-index: 38

Asia-Singapore

About Ashraf A. Kassim

Ashraf A. Kassim, With an exceptional h-index of 38 and a recent h-index of 20 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of Machine Learning, Deep Learning, Image/Video Processing, Computer Vision, Medical Imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

Consistency-based semi-supervised evidential active learning for diagnostic radiograph classification

Fashionsearchnet-v2: learning attribute representations with localization for image retrieval with attribute manipulation

Edge-gan: Edge conditioned multi-view face image generation

Semantically consistent text to fashion image synthesis with an enhanced attentional generative adversarial network

Ashraf A. Kassim Information

University	National University of Singapore
Position	Professor of ECE
Citations(all)	6110
Citations(since 2020)	1618
Cited By	5271
hIndex(all)	38
hIndex(since 2020)	20
i10Index(all)	98
i10Index(since 2020)	34
Email	Access Email
University Profile Page	National University of Singapore
Google Scholar	View Google Scholar Profile

Ashraf A. Kassim Skills & Research Interests

Machine Learning

Deep Learning

Image/Video Processing

Computer Vision

Medical Imaging

Top articles of Ashraf A. Kassim

Title	Journal	Author(s)	Publication Date
Consistency-based semi-supervised evidential active learning for diagnostic radiograph classification		Shafa Balaram Cuong M Nguyen Ashraf Kassim Pavitra Krishnaswamy	2022/9/15
Fashionsearchnet-v2: learning attribute representations with localization for image retrieval with attribute manipulation	arXiv preprint arXiv:2111.14145	Kenan E Ak Joo Hwee Lim Ying Sun Jo Yew Tham Ashraf A Kassim	2021/11/28
Edge-gan: Edge conditioned multi-view face image generation		Heqing Zou Kenan E Ak Ashraf A Kassim	2020/10/25
Semantically consistent text to fashion image synthesis with an enhanced attentional generative adversarial network	Pattern Recognition Letters	Kenan E Ak Joo Hwee Lim Jo Yew Tham Ashraf A Kassim	2020/7/1