Paper List：CVPR 2018 人体姿态估计相关

1.By Object

1.1 Human Body

• Learning to Estimate 3D Human Pose and Shape From a Single Color Image
• Recognizing Human Actions as the Evolution of Pose Estimation Maps
• Human Pose Estimation With Parsing Induced Learner
• Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes - The Importance of Multiple Scene Constraints
• Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation
• V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation From a Single Depth Map
• PoseTrack: A Benchmark for Human Pose Estimation and Tracking
• Cascaded Pyramid Network for Multi-Person Pose Estimation
• Ordinal Depth Supervision for 3D Human Pose Estimation
• Through-Wall Human Pose Estimation Using Radio Signals
• Learning Monocular 3D Human Pose Estimation From Multi-View Images

1.2 Hands

• First-Person Hand Action Benchmark With RGB-D Videos and 3D Hand Pose Annotations
• Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
• Dense 3D Regression for Hand Pose Estimation
• Gesture Recognition: Focus on the Hands
• Hand PointNet: 3D Hand Pose Estimation Using Point Sets
• Cross-Modal Deep Variational Hand Pose Estimation
• Augmented Skeleton Space Transfer for Depth-Based Hand Pose Estimation
• GANerated Hands for Real-Time 3D Hand Tracking From Monocular RGB

1.3 Others

• Detect-and-Track: Efficient Pose Estimation in Videos
• “检测和跟踪：视频中的高效姿态估计”
• Feature Mapping for Lea