Image Embedding

Smoothed Embeddings for Certified Few-Shot Learning
Geometrical approach for certified few-shot learning via randomized smoothing of templates.
Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko Александр Петюшко, Ivan Oseledets
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Smoothed Embeddings for Certified Few-Shot Learning
Quadric Hypersurface Intersection for Manifold Learning in Feature Space
A novel approach to use the so-called “Manifold Hypothesis” in order to solve the outlier detection problem by quadrics on top of FaceID embeddings.
Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeniy Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vyalov, Anatolii Zaikovskii, Aleksandr Petiushko Александр Петюшко
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Quadric Hypersurface Intersection for Manifold Learning in Feature Space
Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation
Elegant ways to check the so-called “Manifold Hypothesis” for FaceID using geoemtric (Ninkiwsky-based) and probabilistic approaches.
Alexander Ivanov, Gleb Nosovskiy, Alexey Chekunov, Denis Fedoseev, Vladislav Kibkalo, Mikhail Nikulin, Fedor Popelenskiy, Stepan Komkov, Ivan Mazurenko, Aleksandr Petiushko Александр Петюшко
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Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation
Darker than Black-Box: Face Reconstruction from Similarity Queries
Reconstruction of a face embedding using only similarity score from FaceID system.
Anton Razzhigaev, Klim Kireev, Igor Udovichenko, Aleksandr Petiushko Александр Петюшко
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Darker than Black-Box: Face Reconstruction from Similarity Queries
AdvHat: Real-World Adversarial Attack on ArcFace Face ID System
A practical approach to generate forehand printed patch to fool the best FaceID system - Arcface - in real world.
Stepan Komkov, Aleksandr Petiushko Александр Петюшко
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AdvHat: Real-World Adversarial Attack on ArcFace Face ID System
Black-Box Face Recovery from Identity Features
Reconstruction of face using only similarity and norm of the embedding of a blac-box FaceID system.
Anton Razzhigaev, Klim Kireev, Edgar Kaziakhmedov, Nurislam Tursynbek, Aleksandr Petiushko Александр Петюшко
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Black-Box Face Recovery from Identity Features
On Adversarial Patches: Real-World Attack on ArcFace-100 Face Recognition System
Two versions of a real-world adversarial attack (nose patch and adversarial glasses) for a top FaceID system - Arcface.
Mikhail Pautov, Grigorii Melnikov, Edgar Kaziakhmedov, Klim Kireev, Aleksandr Petiushko Александр Петюшко
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On Adversarial Patches: Real-World Attack on ArcFace-100 Face Recognition System
Hackathon Metric Learning for facial descriptors
Hackathon with the main goal to improve the FaceID by utilizing the metric learning methods.
Aleksandr Petiushko Александр Петюшко, Stepan Komkov
Code Slides Video
Hackathon Metric Learning for facial descriptors
Metric Learning for facial descriptors
Problem of metric learning applied to face recognition.
Jul 4, 2019 12:00 AM Summer School on AI
Aleksandr Petiushko Александр Петюшко, Stepan Komkov
Project Slides Video
Metric Learning for facial descriptors
Neural Nets recent success and introduction to FaceID
Overview of advances in Neural Nests, Deep Learning, and Introduction to FaceID.
Mar 20, 2018 12:00 AM Lomonosov MSU, MM Faculty Lecture
Aleksandr Petiushko Александр Петюшко
Slides In Russian
Neural Nets recent success and introduction to FaceID