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8 results

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1. Investigating the interpretability of biometric face templates using gated sparse autoencoders and differentiable image parametrizations
Peter Rot, Klemen Grm, 2024, published scientific conference contribution

Keywords: biometry, face recognition, sparse auto-encoders
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2. How to correctly detect face-masks for COVID-19 from visual information?
Borut Batagelj, Peter Peer, Vitomir Štruc, Simon Dobrišek, 2021, original scientific article

Keywords: COVID-19, masked-face detection, face-mask classification, face-mask recognition, COVID-19 compliant mask detection
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3. Making the most of single sensor information
Janez Križaj, Simon Dobrišek, Vitomir Štruc, 2022, original scientific article

Keywords: biometrics, computer vision, 3D face recognition, fusion, covariance descriptors, face recognition, 3D images, local descriptors, statistical models
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4. Human Emotion Recognition in Images Using Machine Learning
PREDRAG DJINDJIC, 2022, undergraduate thesis

Keywords: machine learning, computer vision, face recognition
Full text (file, 1,56 MB)

5. Privacy–enhancing face biometrics
Blaž Meden, Peter Rot, Philipp Terhörst, Naser Damer, Arjan Kuijper, Walter J. Scheirer, Arun Abraham Ross, Peter Peer, Vitomir Štruc, 2021, review article

Keywords: image based biometrics, face recognition, privacy, privacy–enhancing techniques, biometrics, data privacy, online social networking, image recognition, security, regulation
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6. Generating bimodal privacy-preserving data for face recognition
Darian Tomašević, Fadi Boutros, Naser Damer, Peter Peer, Vitomir Štruc, 2024, original scientific article

Keywords: image synthesis, face-based biometrics, privacy-preserving data, multispectral recognition, generative adversarial networks
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7. Deep Face Decoder
Janez Križaj, Richard O. Plesh, Mahesh Banavar, Stephanie Schuckers, Vitomir Štruc, 2024, original scientific article

Keywords: deep face templates, template inversion, face recognition, deep learning, explainability, interpretability
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8. Interpreting Face Recognition Templates using Symbolic Representations
Anastasija Manojlovska, 2024, master's thesis/paper

Keywords: Interpretable Artificial Intelligence, Symbolic Representations, Face Templates, Attribute Recognition, Deep Learning, Natural Language Processing, Computer Vision, CLIP, AdaFace, SwinFace
Full text (file, 31,47 MB)

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