*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

*Diff-CVML20*
* ***Diff-CVML: Differential Geometry in Computer Vision and Machine Learning**

* AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification

* Coarse-to-Fine Hamiltonian Dynamics of Hierarchical Flows in Computational Anatomy

* Curvature: A signature for Action Recognition in Video Sequences

* Deep Learning of Warping Functions for Shape Analysis

* Deep Low-Rank Subspace Clustering

* generic unfolding algorithm for manifolds estimated by local linear approximations, A

* Geometric ConvNet on 3D Shape Manifold for Gait Recognition, A

* Gromov-Wasserstein Averaging in a Riemannian Framework

* Hierarchical Image Classification using Entailment Cone Embeddings

* Infinitesimal Drift Diffeomorphometry Models for Population Shape Analysis

* Interface between Grassmann manifolds and vector spaces, An

* Metric Learning with A-based Scalar Product for Image-set Recognition

* Persistent Homology-based Projection Pursuit

* PI-Net: A Deep Learning Approach to Extract Topological Persistence Images

* Representations, Metrics and Statistics for Shape Analysis of Elastic Graphs

* Simplifying Transformations for a Family of Elastic Metrics on the Space of Surfaces

* Smooth Summaries of Persistence Diagrams and Texture Classification

* Weighted Euler Curve Transform for Shape and Image Analysis, The

19 for Diff-CVML20

*Diff-CVML21*
* ***Diff-CVML: Differential Geometry in Computer Vision and Machine Learning**

* Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation

* Geometric empirical Bayesian model for classification of functional data under diverse sampling regimes

* GILDA++: Grassmann Incremental Linear Discriminant Analysis

* Learning low bending and low distortion manifold embeddings

* Sheaf and Topology Approach to Detecting Local Merging Relations in Digital Images, A

* SrvfRegNet: Elastic Function Registration Using Deep Neural Networks

* Supervised deep learning of elastic SRV distances on the shape space of curves

* Uniting Stereo and Depth-from-Defocus: A Thin Lens-based Variational Framework for Multiview Reconstruction

9 for Diff-CVML21

Last update:11-Oct-21 12:25:17

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