Прати
Salma S. Abdel Magid
Salma S. Abdel Magid
https://sabdelmagid.github.io/
Верификована је имејл адреса на g.harvard.edu - Почетна страница
Наслов
Навело
Навело
Година
Dynamic high-pass filtering and multi-spectral attention for image super-resolution
S Abdel Magid, Y Zhang, D Wei, WD Jang, Z Lin, Y Fu, H Pfister
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
1002021
Masked image training for generalizable deep image denoising
H Chen, J Gu, Y Liu, S Abdel Magid, C Dong, Q Wang, H Pfister, L Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
752023
Revisiting rcan: Improved training for image super-resolution
Z Lin, P Garg, A Banerjee, S Abdel Magid, D Sun, Y Zhang, L Van Gool, ...
arXiv preprint arXiv:2201.11279, 2022
732022
Image classification on IoT edge devices: profiling and modeling
S Abdel Magid, F Petrini, B Dezfouli
Cluster Computing 23 (2), 1025-1043, 2020
482020
Texture-Based Error Analysis for Image Super-Resolution
S Abdel Magid, Z Lin, D Wei, Y Zhang, J Gu, H Pfister
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
162022
Channel embedding for informative protein identification from highly multiplexed images
S Abdel Magid, WD Jang, D Schapiro, D Wei, J Tompkin, PK Sorger, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2020
32020
They're All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Bias
S Abdel Magid, JH Wang, K Kafle, H Pfister
arXiv preprint arXiv:2406.11331, 2024
12024
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models
S Abdel Magid, W Pan, S Warchol, G Guo, J Kim, M Rahman, H Pfister
arXiv preprint arXiv:2410.04634, 2024
2024
Trustworthy Machine Learning Through Interpretability and Fairness
SA Magid
Harvard University, 2024
2024
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part V
S Abdel Magid, WD Jang, D Schapiro, D Wei, J Tompkin, PK Sorger
2020
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