Journals starting with diff

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

Diff3D21 * *Differentiable 3D Vision and Graphics
* DeepDraper: Fast and Accurate 3D Garment Draping over a 3D Human Body
* SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction

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