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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
Multimodal Engagement Analysis from Facial Videos in the Classroom—0
A Vector-based Representation to Enhance Head Pose Estimation—0
A high fidelity synthetic face framework for computer vision—0
Variational Inference and Learning of Piecewise-linear Dynamical Systems—0
Deep Convolutional Neural Network-based Bernoulli Heatmap for Head Pose Estimation—0
Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion—0
Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples—0
HP2IFS: Head Pose estimation exploiting Partitioned Iterated Function Systems—0
A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence—0
Multiple Face Analyses through Adversarial Learning—0
Unsupervised Representation Learning for Gaze Estimation—0
Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces—0
How far are we from quantifying visual attention in mobile HCI?—0
Single Image based Head Pose Estimation with Spherical Parameterization and 3D Morphing—0
Towards Real-Time Head Pose Estimation: Exploring Parameter-Reduced Residual Networks on In-the-wild Datasets—0
FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single ImageCode0
Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin AdjustmentCode0
Learning to Validate the Quality of Detected Landmarks—0
Hybrid coarse-fine classification for head pose estimationCode0
Combining Deep and Depth: Deep Learning and Face Depth Maps for Driver Attention Monitoring—0
Nose, eyes and ears: Head pose estimation by locating facial keypointsCode0
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model—0
PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural NetworksCode0
Towards Head Motion Compensation Using Multi-Scale Convolutional Neural Networks—0
“Seeing is Believing”: Pedestrian Trajectory Forecasting Using Visual Frustum of Attention—0
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