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Head Pose Estimation

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

Papers

Showing 125 of 130 papers

TitleStatusHype
Detect Faces Efficiently: A Survey and EvaluationsCode3
FaceXFormer: A Unified Transformer for Facial AnalysisCode3
On the representation and methodology for wide and short range head pose estimationCode2
6D Rotation Representation For Unconstrained Head Pose EstimationCode2
Shape Preserving Facial Landmarks with Graph Attention NetworksCode2
DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single ImageCode2
6DoF Head Pose Estimation through Explicit Bidirectional Interaction with Face GeometryCode2
WHENet: Real-time Fine-Grained Estimation for Wide Range Head PoseCode2
RealHePoNet: a robust single-stage ConvNet for head pose estimation in the wildCode1
Mnemonic Descent Method: A recurrent process applied for end-to-end face alignmentCode1
Multi-task head pose estimation in-the-wildCode1
On the power of data augmentation for head pose estimationCode1
Pose-disentangled Contrastive Learning for Self-supervised Facial RepresentationCode1
RankPose: Learning Generalised Feature with Rank Supervision for Head Pose EstimationCode1
Real-time 6DoF full-range markerless head pose estimationCode1
DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face AlignmentCode1
Domain Adaptation for Head Pose Estimation Using Relative Pose ConsistencyCode1
HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertaintyCode1
DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range AnglesCode1
Deep learning and machine learning techniques for head pose estimation: a surveyCode1
Deep Ordinal Regression with Label DiversityCode1
Ego-Body Pose Estimation via Ego-Head Pose EstimationCode1
Energy-Based Models for Deep Probabilistic RegressionCode1
MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose EstimationCode1
Deep Label Distribution Learning with Label AmbiguityCode1
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