Aamir Mustafa
Reseach Scientist at Yoti
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAamir Mustafa is a research scientist and PhD candidate at the University of Cambridge with eight years of experience in computer vision, deep learning, and image/video processing. He combines strong academic output—papers at ECCV, ICCV, TPAMI and TIP—with industry impact, delivering a real-time 4K tone-mapping model that is 15× faster and 100× smaller than prior work. His research spans practical image restoration and perceptual loss design, including a distortion-specific loss that outperforms VGG/LPIPS even when trained on a single natural image. At Yoti he applies these advances to production problems while his Cambridge projects focus on interpretable latent representations for cinematic color grading and data-efficient image-to-image translation. He has a track record of turning cutting-edge research into lightweight, deployable models and defenses against adversarial attacks. Based in Cambridge, UK, he blends deep theoretical insight with pragmatic engineering to push visual AI toward real-world scalability.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Graphics & Vision, Doctor of Philosophy - PhD, Computer Graphics & Vision at University of CambridgeBachelor of Technology (B.Tech.), Electronics and Communications Engineering, Bachelor of Technology (B.Tech.), Electronics and Communications Engineering at National Institute of Technology Srinagar
Github Skills (9)
hidden10
adversarial-machine-learning8
robustness8
defense7
adversarial-attacks7
deep-learning5
pytorch5
deep-neural-networks3
machine-learning1
Programming languages (2)
Github contributions (5)
aamir-mustafa/super-resolution-adversarial-defense
Jan 2019 - Jan 2019
Contributions:49 commits, 40 pushes, 1 branch in 15 days
gfxdisp/mdf
Apr 2021 - Sep 2022
Contributions:7 commits, 6 pushes, 12 comments in 1 year 5 months
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