Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Intrinsic shape context descriptors for deformable shapes
Shape Context: A New Descriptor for Shape Matching and Object Recognition
Estimating Human Body Configurations using Shape Context Matching
GWCNN: A Metric Alignment Layer for Deep Shape Analysis
Skeleton based shape matching and retrieval
DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images
Geometric structures for three-dimensional shape representation
Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image
Automatically learning shape specifications
Deformable Shape Completion with Graph Convolutional Autoencoders
Shape and Appearance Context Modeling
An unification of Inner Distance Shape Context and Local Binary Pattern for Shape Representation and Classification
Marker-less Deformable Mesh Tracking for Human Shape and Motion Capture
Dynamic programming for detecting, tracking, and matching deformable contours
Soft shape context for iterative closest point registration
Rotation Invariant Spherical Harmonic Representation of 3D Shape Descriptors
SVF-Net: Learning Deformable Image Registration Using Shape Matching
Attentional ShapeContextNet for Point Cloud Recognition
Data-driven shape analysis and processing
Linear subspace design for real-time shape deformation
A fingertips detection method based on the combination of centroid and Harris corner algorithm
Young adults' use of communication technology within their romantic relationships and associations with attachment style
Emotion recognition from physiological signals using wireless sensors for presence technologies
Visual learning and recognition of 3-d objects from appearance
Incongruent Headlines: Yet Another Way to Mislead Your Readers