*DIFF-CV15*
* ***DIFFerential Geometry in Computer Vision for Analysis of Shapes, Images and Trajectories**

* Cylindrical Surface Reconstruction by Fitting Paths on Shape Space

* Distance Metric Learning by Optimization on the Stiefel Manifold

* FFT-based Alignment of 2D Closed Curves with Application to Elastic Shape Analysis

* Gauge invariant framework for trajectories analysis

* Generalized Lyapunov Feature for Dynamical Systems on Riemannian Manifolds, A

* Geometric Analysis of Axonal Tree Structures

* Improving 3D Facial Action Unit Detection with Intrinsic Normalization

* Karcher Mean in Elastic Shape Analysis

* Novel Riemannian Framework for Shape Analysis of Annotated Surfaces, A

* Second order elastic metrics on the shape space of curves

* Temporal Reflection Symmetry of Human Actions: A Riemannian Analysis

* Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian

13 for DIFF-CV15

*DIFF-CV16*
* ***DIFFerential Geometry in Computer Vision for Analysis of Shapes, Images and Trajectories**

* Assignment Manifold: A Smooth Model for Image Labeling, The

* Bayesian Model-Based Automatic Landmark Detection for Planar Curves

* Consensus-Based Image Segmentation via Topological Persistence

* Differential Geometry Boosts Convolutional Neural Networks for Object Detection

* Fast Dynamic Programming for Elastic Registration of Curves

* Human Object Interaction Recognition Using Rate-Invariant Shape Analysis of Inter Joint Distances Trajectories

* On Time-Series Topological Data Analysis: New Data and Opportunities

* Partial Matchings and Growth Mapped Evolutions in Shape Spaces

* Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams, A

* Riemannian Geometric Approaches for Measuring Movement Quality

* Robust Domain Adaptation on the L1-Grassmannian Manifold

* Statistical Framework for Elastic Shape Analysis of Spatio-Temporal Evolutions of Planar Closed Curves, A

* Survey on Rotation Optimization in Structure from Motion, A

* Testing Stationarity of Brain Functional Connectivity Using Change-Point Detection in fMRI Data

15 for DIFF-CV16

*Diff-CVML17*
* ***Diff-CVML: Differential Geometry in Computer Vision and Machine Learning**

* Learning Shape Trends: Parameter Estimation in Diffusions on Shape Manifolds

* Manifold Guided Label Transfer for Deep Domain Adaptation

* Measuring Glide-Reflection Symmetry in Human Movements Using Elastic Shape Analysis

* Poisson Disk Sampling on the Grassmannnian: Applications in Subspace Optimization

* Riemannian Framework for Linear and Quadratic Discriminant Analysis on the Tangent Space of Shapes, A

* Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data

* Signal Classification in Quotient Spaces via Globally Optimal Variational Calculus

* Square Root Velocity Framework for Curves in a Homogeneous Space, The

9 for Diff-CVML17

*Diff-CVML18*
* ***Diff-CVML: Differential Geometry in Computer Vision and Machine Learning**

* Covariance Matrices Encoding Based on the Log-Euclidean and Affine Invariant Riemannian Metrics

* Covariance Pooling for Facial Expression Recognition

* Elastic Handling of Predictor Phase in Functional Regression Models

* Geodesic Discriminant Analysis for Manifold-Valued Data

* Image Segmentation by Deep Learning of Disjunctive Normal Shape Model Shape Representation

* Locally-Weighted Elastic Comparison of Planar Shapes

* Mixture Model for Aggregation of Multiple Pre-Trained Weak Classifiers, A

* Predicting Dynamical Evolution of Human Activities from a Single Image

* Principal Curvature Guided Surface Geometry Aware Global Shape Representation

* Riemannian Geometry of Deep Generative Models, The

* Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition with Accelerometer Data

12 for Diff-CVML18

Last update:12-Dec-19 14:49:32

Use price@usc.edu for comments.