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Head Pose Estimation

Сделай так, что бы оба человека на фотографии смотрели в центр экрана телефона

Papers

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Showing 76–100 of 130 papers

TitleStatusHype
Unsupervised Discovery of Facial Landmarks and Head Pose—0
KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors—0
Boosting of Head Pose Estimation by Knowledge Distillation—0
Latent Embedding Clustering for Occlusion Robust Head Pose Estimation—0
Location-guided Head Pose Estimation for Fisheye Image—0
Unsupervised Representation Learning for Gaze Estimation—0
Mathematical Foundation and Corrections for Full Range Head Pose Estimation—0
MATT: Multimodal Attention Level Estimation for e-learning Platforms—0
Mnemonic Descent Method: A Recurrent Process Applied for End-To-End Face Alignment—0
Customizing an Affective Tutoring System Based on Facial Expression and Head Pose Estimation—0
Comparative Study of Parameter Selection for Enhanced Edge Inference for a Multi-Output Regression model for Head Pose Estimation—0
Multimodal Engagement Analysis from Facial Videos in the Classroom—0
Multiple Face Analyses through Adversarial Learning—0
Combining Deep and Depth: Deep Learning and Face Depth Maps for Driver Attention Monitoring—0
Normalized Validity Scores for DNNs in Regression based Eye Feature Extraction—0
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation—0
Ollivier-Ricci Curvature For Head Pose Estimation From a Single Image—0
CLERF: Contrastive LEaRning for Full Range Head Pose Estimation—0
A Vector-based Representation to Enhance Head Pose Estimation—0
Single Image based Head Pose Estimation with Spherical Parameterization and 3D Morphing—0
POSEidon: Face-from-Depth for Driver Pose Estimation—0
Learning to Validate the Quality of Detected Landmarks—0
A Real-Time Multi-Task Learning System for Joint Detection of Face, Facial Landmark and Head Pose—0
Anticipation through Head Pose Estimation: a preliminary study—0
Real-Time 3D Head Pose and Facial Landmark Estimation From Depth Images Using Triangular Surface Patch Features—0
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