Salma Abdel Magid

PhD Candiate in Computer Science at Harvard University Advised by Hanspeter Pfister My current research focuses on fairness and interpretability of vision-language models. Member of Visual Computing Group I received my B.S. and M.S. from Santa Clara University, advised by Behnam Dezfouli Many thanks to Simon Warchol for helping me with this website!

Publications

Masked Image Training for Generalizable Deep Image Denoising

Haoyu Chen, Jinjin Gu, Yihao Liu, Salma Abdel Magid, Chao Dong, Qiong Wang, Hanspeter Pfister, Lei Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Texture Based Error Analysis of Image Super-Resolution

Salma Abdel Magid, Zudi Lin, Donglai Wei, Yulun Zhang, Jinjin Gu, Hanspeter Pfister
Conference on Computer Vision and Pattern Recognition (CVPR) 2022

Revisiting RCAN: Improved Training for Image Super-Resolution

Zudi Lin, Prateek Garg, Atmadeep Banerjee, Salma Abdel Magid, Deqing Sun, Yulun Zhang, Luc Van Gool, Donglai Wei, Hanspeter Pfister
arXiv preprint arXiv:2201.11279

Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution

Salma Abdel Magid, Yulun Zhang, Donglai Wei, Won-Dong Jang, Zudi Lin, Yun Fu, Hanspeter Pfister
International Conference on Computer Vision (ICCV) 2021

Channel Embedding for Informative Protein Identification from Highly Multiplexed Images

Salma Abdel Magid, Won-Dong Jang, Denis Schapiro, Donglai Wei, James Tompkin, Peter Sorger, Hanspeter Pfister
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020

Image Classification on IoT Edge Devices: Profiling and Modeling

Salma Abdel Magid, Francesco Petrini, Behnam Dezfouli
Springer Cluster Computing Journal. 2019.

Teaching

Service