Tomáš Souček
Postdoctoral Researcher at Meta
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolTomáš Souček is a postdoctoral researcher at Meta FAIR with a decade of experience building weakly supervised 3D computer vision systems and occasional CUDA optimizations to accelerate Python ML/CV stacks. He leads research on in-model and out-of-model watermarking for autoregressive and diffusion models, work that is deployed in production across Instagram and Meta’s AI app to authenticate millions of images. Author and lead author on multiple CVPR, TPAMI and ACM MM papers, he also contributes to ICLR and ICML workshop publications and brings a PhD focused on weak supervision from Czech Technical University. Based in Paris, he combines deep academic rigor with production-minded engineering, uniquely bridging foundational vision research and scalable deployment.
10 years of coding experience
Doctor of Philosophy - PhD, Weakly supervised learning for visual recognition, Doctor of Philosophy - PhD, Weakly supervised learning for visual recognition at Czech Technical University in PragueMaster's degree, Artificial Intelligence, summa cum laude, Master's degree, Artificial Intelligence, summa cum laude at Charles University in Prague
English, Czech, German
Stackoverflow
1reputation
0reached
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Github Skills (55)
sparse10
probability10
convolutional-neural-networks10
python10
artificial-neural-networks10
data-science10
semantic-segmentation10
machine-learning10
manifold10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
optical-flow10
neural-network10
Programming languages (4)
Github contributions (5)
soCzech/TransNetV2
Oct 2019 - Jul 2021
TransNet V2: Shot Boundary Detection Neural Network
Contributions:78 commits, 11 pushes, 41 comments in 1 year 9 months
pytorchboundary-detectionboundarydeep-learningoptical-flow
soCzech/TransNet
May 2019 - Jun 2020
Contributions:7 commits, 6 pushes, 1 branch in 1 year
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