Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Incorporating Semantic and Geometric Priors in Deep Pose Regression
Geometric Loss Functions for Camera Pose Regression with Deep Learning
SegICP: Integrated Deep Semantic Segmentation and Pose Estimation
3D Pose Regression Using Convolutional Neural Networks
Depth-aware convolutional neural networks for accurate 3D pose estimation in RGB-D images
Real-time Convolutional Networks for Depth-based Human Pose Estimation
Compositional Human Pose Regression
From Depth Data to Head Pose Estimation: a Siamese approach
Multi-source Deep Learning for Human Pose Estimation
Accurate 3D pose estimation from a single depth image
Bayesian Image Based 3D Pose Estimation
Accurate Object Pose Estimation Using Depth Only
Efficient regression of general-activity human poses from depth images
Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image
Hierarchical semantic parsing for object pose estimation in densely cluttered scenes
Model-based Deep Hand Pose Estimation
DeepPose: Human Pose Estimation via Deep Neural Networks
Deep Directional Statistics: Pose Estimation with Uncertainty Quantification
Correspondence-free pose estimation for 3D objects from noisy depth data
Deep neural networks and regression models for object detection and pose estimation
Category-level 6 D Object Pose Recovery in Depth Images
Few-Shot Learning Through an Information Retrieval Lens
Theory of Cognitive Relativity: A Promising Paradigm for True AI
Parallel Tracking and Mapping for Small AR Workspaces
on scalability of software - defined networking .
Forward-Looking Synthetic Aperture Radar (FLoSAR): The Array Approach