Face Detection

CNN Adversarial Robustness in the Real World
A holistic overview of Adversarial Robustness, including digital and real world, mostly for the face detection and identification.
Apr 15, 2021 12:00 AM Lobachevsky University
Aleksandr Petiushko Александр Петюшко
Slides Talk Interview In Russian
CNN Adversarial Robustness in the Real World
CNN Robustness research: Application to face detectors and face ID systems
A short overview of Adversarial Robustness, in both digital and real world, explicitly for the face detection and identification.
Feb 4, 2021 12:00 AM OpentTalks.AI 2021
Aleksandr Petiushko Александр Петюшко
Slides Slides (In Russian)
CNN Robustness research: Application to face detectors and face ID systems
CNN Robustness research. Application to face detectors and face ID systems
A short overview of Adversarial Robustness concentrated around the theoretic aspects.
Dec 1, 2020 12:00 AM Huawei Workshop on DL Theory
Aleksandr Petiushko Александр Петюшко
Application of Adversarial Machine Learning to Analyze the NN Robustness in the Real World
Effect of Adversarial ML on Real-World Robustness for Computer Vision (face detection and identification).
Jun 26, 2020 12:00 AM Spice IT Meetup
Aleksandr Petiushko Александр Петюшко
Slides Video In Russian
Application of Adversarial Machine Learning to Analyze the NN Robustness in the Real World
Adversarial Machine Learning in Real World
Analysis of Adversarial ML for Real-World Applications.
May 29, 2020 12:00 AM SPbSU Chebyshev Seminars
Aleksandr Petiushko Александр Петюшко
Slides Video In Russian
Adversarial Machine Learning in Real World
Real-world Attack on MTCNN Face Detection System
Two versions of a real-world adversarial attack (cheek’s patches and medicine mask) for a very efficient MTCNN face detector.
Edgar Kaziakhmedov, Klim Kireev, Grigorii Melnikov, Mikhail Pautov, Aleksandr Petiushko Александр Петюшко
PDF Cite Code Source Document DOI arXiv Demo
Real-world Attack on MTCNN Face Detection System
Adversarial Machine Learning
Light introduction for students about the research problem of Adversarial ML.
Oct 12, 2019 12:00 AM Lomonosov MSU, Science Festival
Aleksandr Petiushko Александр Петюшко
Slides Video (In Russian) In Russian
Adversarial Machine Learning
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
Image Processor Comprising Face Recognition System with Face Recognition Based on Two-Dimensional Grid Transform
An image processing system comprises an image processor having image processing circuitry and an associated memory. The image processor …
Aleksandr Petiushko Александр Петюшко, Denis Zaytsev, Pavel Aliseitchik, Denis Parkhomenko, Alexander Kholodenko
PDF Source Document
Image Processor Comprising Face Recognition System with Face Recognition Based on Two-Dimensional Grid Transform
2D Head Pose Estimation
Head pose estimation using 3D-camera.
Feb 1, 2012
YouTube
2D Head Pose Estimation