Memin, A.[Anthony]
Co Author Listing * Inter-Annual Variability in the Antarctic Ice Sheets Using Geodetic Observations and a Climate Model
Includes: Memin, A.[Anthony] Mémin, A.[Anthony]
Memin, E.[Etienne]
Co Author Listing * Bayesian Estimation of Turbulent Motion
* Bayesian Inference of Models and Hyperparameters for Robust Optical-Flow Estimation
* Bayesian selection of scaling laws for motion modeling in images
* Conditional Filters for Image Sequence-Based Tracking: Application to Point Tracking
* Consistent Spatio-temporal Motion Estimator for Atmospheric Layers, A
* Course to Fine Multiscale Approach for Linear Least Squares Optical Flow Estimation, A
* Dense Estimation and Object-Based Segmentation of the Optical-Flow with Robust Techniques
* Dense Estimation of Fluid Flows
* Dense Estimation of Layer Motions in the Atmosphere
* Dense Motion Analysis in Fluid Imagery
* Dense/Parametric Estimation of Fluid Flows
* Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation
* Divergence-Free Wavelets and High Order Regularization
* Dynamically consistent optical flow estimation
* Efficient Parallel Multigrid Relaxation Algorithms for Markov Random Field-Based Low-Level Vision Applications
* Energy-based Framework for Dense 3D Registration of Volumetric Brain Images, An
* Estimating Fluid Optical Flow
* Extraction of Singular Points from Dense Motion Fields: An Analytic Approach
* Fluid Motion Estimator for Schlieren Image Velocimetry, A
* Geometric Driven Optical Flow Estimation and Segmentation for 3D Reconstruction
* Hierarchical Estimation and Segmentation of Dense Motion Fields
* Hierarchical estimation of a dense deformation field for 3-D robust registration
* Hybrid tracking approach using optical flow and pose estimation
* Image Assimilation for Motion Estimation of Atmospheric Layers with Shallow-Water Model
* Joint Estimation-Segmentation of Optic Flow
* Location Uncertainty Principle: Toward the Definition of Parameter-Free Motion Estimators
* Low Dimensional Fluid Motion Estimator, A
* Model Free Hybrid Algorithm for Real Time Tracking, A
* Multigrid Approach for Hierarchical Motion Estimation, A
* Multiscale Weighted Ensemble Kalman Filter for Fluid Flow Estimation
* One-dimensional dense disparity estimation for three-dimensional reconstruction
* Optimal Importance Sampling for Tracking in Image Sequences: Application to Point Tracking
* Parallelized Robust Multiresolution Motion Estimation
* Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
* Planar facets segmentation using a multiresolution dense disparity field estimation
* Robust and Automatic Face Tracker Dedicated to Broadcast Videos, A
* Robust Discontinuity-Preserving Model for Estimating Optical Flow
* Robust Multiscale Deformable Registration of 3d Ultrasound Images
* Robust Optic-Flow Estimation with Bayesian Inference of Model and Hyper-parameters
* Self-similar regularization of optic-flow for turbulent motion estimation
* Stochastic Filter for Fluid Motion Tracking, A
* Stochastic Filtering of Level Sets for Curve Tracking
* Stochastic Filtering Technique for Fluid Flow Velocity Fields Tracking, A
* Stochastic Level Set Dynamics to Track Closed Curves Through Image Data
* Stochastic Models for Local Optical Flow Estimation
* Stochastic Uncertainty Models for the Luminance Consistency Assumption
* Three-Dimensional Motion Estimation of Atmospheric Layers From Image Sequences
* Tracking and Characterization of Highly Deformable Cloud Structures
* Tracking Closed Curves with Non-linear Stochastic Filters
* Variational Assimilation Of Fluid Motion From Image Sequence
* Variational Dense Motion Estimation Using the Helmholtz Decomposition
* Variational Framework for Spatio-temporal Smoothing of Fluid Motions, A
* Variational optimal control technique for the tracking of deformable objects
* Variational Technique for Time Consistent Tracking of Curves and Motion, A
* VLSI Design Methodology for Edge-Preserving Image Reconstruction
* Vortex and Source Particles for Fluid Motion Estimation
* Wavelet-Based Fluid Motion Estimation
Includes: Memin, E.[Etienne] Mémin, E.[Etienne] Mémin, E. Mémin, É.[Étienne] Memin, E.
57 for Memin, E.
Memisevic, R.[Roland]
Co Author Listing * Gradient-based learning of higher-order image features
* Hierarchical Video Understanding
* Jester Dataset: A Large-Scale Video Dataset of Human Gestures, The
* Learning to Relate Images
* Modeling the joint density of two images under a variety of transformations
* Painter: Teaching Auto-regressive Language Models to Draw Sketches
* Potential Energy of an Autoencoder, The
* Principal Surfaces from Unsupervised Kernel Regression
* RATM: Recurrent Attentive Tracking Model
* Shared Kernel Information Embedding for Discriminative Inference
* Something Something Video Database for Learning and Evaluating Visual Common Sense, The
* Unsupervised Learning of Image Transformations
Includes: Memisevic, R.[Roland] Memisevic, R.
12 for Memisevic, R.
Memisoglu, A.[Aydemir]
Co Author Listing * Motion Control for Realistic Walking Behavior using Inverse Kinematics