Heit, B.
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with: Bremont, J.: Monocular depth perception by evaluation of the blur in d...
with: Bremont, J.: Visual Depth Perception Based on Optical Blur
with: Devillard, F.: Retina simulation using cellular automata and GPU progr...
with: Gobron, S.: Retina simulation using cellular automata and GPU programm...
with: Honig, J.: Monocular depth perception by evaluation of the blur in def...
with: Honig, J.: Visual Depth Perception Based on Optical Blur
with: Schneider, G.: Monocular depth perception by evaluation of the blur in...
7 for Heit, B.
Heitger, F.
Standard Author Listing
with: Gerig, G.: Extraction of Boundary Keypoints and Completion of Simple F...
with: Henricsson, O.: Role of Key-Points in Finding Contours, The
with: Kubler, O.: Detection of general edges and keypoints
with: Kubler, O.: Extraction of Boundary Keypoints and Completion of Simple ...
with: Kubler, O.: Real-time 2D feature detection with low-level image proces...
with: Kubler, O.: Simulation of Neural Contour Mechanisms: Representing Anom...
with: Peterhans, E.: Simulation of Neural Contour Mechanisms: Representing A...
with: Rosenthaler, L.: Detection of general edges and keypoints
with: Rosenthaler, L.: Extraction of Boundary Keypoints and Completion of Si...
with: Rosenthaler, L.: Simulation of Neural Contour Mechanisms: Representing...
with: Seitz, P.: Real-time 2D feature detection with low-level image process...
with: Spirig, T.: Real-time 2D feature detection with low-level image proces...
with: Vietze, O.: Real-time 2D feature detection with low-level image proces...
with: von der Heydt, R.: Computational Model of Neural Contour Processing: F...
with: von der Heydt, R.: Detection of general edges and keypoints
with: von der Heydt, R.: Simulation of Neural Contour Mechanisms: Representi...
16 for Heitger, F.
Heithausen, C.
Standard Author Listing
with: Blaser, M.: Geometry-adaptive motion partitioning using improved tempo...
with: Blaser, M.: Improved higher order motion compensation in HEVC with blo...
with: Ohm, J.R.: Improved higher order motion compensation in HEVC with bloc...
with: Wien, M.: Geometry-adaptive motion partitioning using improved tempora...
with: Wien, M.: Improved higher order motion compensation in HEVC with block...
Heitholt, J.
Standard Author Listing
with: Acharya, B.: Quantification and Mapping of Satellite Driven Surface En...
with: Nippgen, F.: Quantification and Mapping of Satellite Driven Surface En...
with: Sharma, V.: Quantification and Mapping of Satellite Driven Surface Ene...
with: Tekiela, D.: Quantification and Mapping of Satellite Driven Surface En...
Heitkemper, P.
Standard Author Listing
with: du Buf, J.M.H.: Texture Features Based on Gabor Phase
Heitkonig, I.M.A.
Standard Author Listing
with: Cho, M.A.: Non-linear partial least square regression increases the es...
with: de Boer, W.F.: Remote sensing of forage nutrients: Combining ecologica...
with: Dudeni Tlhone, N.: Non-linear partial least square regression increase...
with: Knox, N.M.: Remote sensing of forage nutrients: Combining ecological a...
with: Mathieu, R.: Non-linear partial least square regression increases the ...
with: Mathieu, R.: Water-removed spectra increase the retrieval accuracy whe...
with: Prins, H.H.T.: Non-linear partial least square regression increases th...
with: Prins, H.H.T.: Remote sensing of forage nutrients: Combining ecologica...
with: Ramoelo, A.: Non-linear partial least square regression increases the ...
with: Ramoelo, A.: Water-removed spectra increase the retrieval accuracy whe...
with: Schlerf, M.: Non-linear partial least square regression increases the ...
with: Schlerf, M.: Water-removed spectra increase the retrieval accuracy whe...
with: Skidmore, A.K.: Non-linear partial least square regression increases t...
with: Skidmore, A.K.: Remote sensing of forage nutrients: Combining ecologic...
with: Skidmore, A.K.: Water-removed spectra increase the retrieval accuracy ...
with: Slotow, R.: Remote sensing of forage nutrients: Combining ecological a...
with: van der Waal, C.: Remote sensing of forage nutrients: Combining ecolog...
17 for Heitkonig, I.M.A.
Heitmann, J.
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with: Beyer, J.: Potential of Reflectance and Laser Induced Luminescence Spe...
with: Fuchs, M.: Potential of Reflectance and Laser Induced Luminescence Spe...
with: Gloaguen, R.: Potential of Reflectance and Laser Induced Luminescence ...
with: Lorenz, S.: Potential of Reflectance and Laser Induced Luminescence Sp...
with: Seidel, P.: Potential of Reflectance and Laser Induced Luminescence Sp...
with: Turner, D.: Potential of Reflectance and Laser Induced Luminescence Sp...
Heitmann, M.
Standard Author Listing
with: Chang, A.X.: Motion Annotation Programs: A Scalable Approach to Annota...
with: Charatan, D.: Motion Annotation Programs: A Scalable Approach to Annot...
with: Chaudhuri, S.: Motion Annotation Programs: A Scalable Approach to Anno...
with: Jiang, H.: Motion Annotation Programs: A Scalable Approach to Annotati...
with: Kim, V.: Motion Annotation Programs: A Scalable Approach to Annotating...
with: Raychaudhuri, S.: Motion Annotation Programs: A Scalable Approach to A...
with: Ritchie, D.: Motion Annotation Programs: A Scalable Approach to Annota...
with: Savva, M.: Motion Annotation Programs: A Scalable Approach to Annotati...
with: Xu, X.: Motion Annotation Programs: A Scalable Approach to Annotating ...
9 for Heitmann, M.
Heittola, T.
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with: Klapuri, A.: TUT Acoustic Event Detection System 2007
Heitz, D.
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with: Heas, P.: Bayesian Estimation of Turbulent Motion
with: Heas, P.: Bayesian selection of scaling laws for motion modeling in im...
with: Heas, P.: Self-similar regularization of optic-flow for turbulent moti...
with: Herzet, C.: Bayesian Estimation of Turbulent Motion
with: Herzet, C.: Bayesian selection of scaling laws for motion modeling in ...
with: Memin, E.: Bayesian Estimation of Turbulent Motion
with: Memin, E.: Bayesian selection of scaling laws for motion modeling in i...
with: Memin, E.: Self-similar regularization of optic-flow for turbulent mot...
with: Mininni, P.D.: Bayesian Estimation of Turbulent Motion
with: Mininni, P.D.: Bayesian selection of scaling laws for motion modeling ...
10 for Heitz, D.
Heitz, E.
Standard Author Listing
with: Belcour, L.: Sliced Wasserstein Loss for Neural Texture Synthesis, A
with: Chambon, T.: Sliced Wasserstein Loss for Neural Texture Synthesis, A
with: Vanhoey, K.: Sliced Wasserstein Loss for Neural Texture Synthesis, A
Heitz, F.
Standard Author Listing
with: Agnus, V.: Spatio-temporal Segmentation Using 3d Morphological Tools
with: Armspach, J.P.: 3-D Deformable Image Registration: A Topology Preserva...
with: Armspach, J.P.: 3D Deformable Image Matching Using Multiscale Minimiza...
with: Armspach, J.P.: Accurate Inversion of 3-D Transformation Fields
with: Armspach, J.P.: Construction of a 3d Physically-based Multi-object Def...
with: Armspach, J.P.: efficient incremental strategy for constrained groupwi...
with: Armspach, J.P.: Fast deformable matching of 3D images over multiscale ...
with: Armspach, J.P.: Hidden semi-Markov event sequence models: application ...
with: Armspach, J.P.: Joint Physics-Based Statistical Deformable Model for M...
with: Armspach, J.P.: Multimodal image registration using statistically cons...
with: Armspach, J.P.: Physically-Based Statistical Deformable Model for Brai...
with: Armspach, J.P.: Robust Registration of Dissimilar Single and Multi-Mod...
with: Armspach, J.P.: Robust voxel similarity metrics for the registration o...
with: Armspach, J.P.: Statistical atlas-based sub-voxel segmentation of 3d b...
with: Armspach, J.P.: Topology Preserving Deformable Image Matching Using Co...
with: Armspach, J.P.: Topology Preserving Non-rigid Registration Method Usin...
with: Armspach, J.P.: Unsupervised Learning and Mapping of Active Brain Func...
with: Armspach, J.P.: Unsupervised Nonlinear Manifold Learning
with: Bhanot, A.: Spatially Constrained Online Dictionary Learning for Sourc...
with: Bosc, M.: Statistical atlas-based sub-voxel segmentation of 3d brain MRI
with: Bouthemy, P.: Multimodal Estimation of Discontinuous Optical Flow Usin...
with: Bouthemy, P.: Multimodal Motion Estimation and Segmentation Using Mark...
with: Bouthemy, P.: Multiscale Minimization of Global Energy Functions in So...
with: Bouthemy, P.: Parallel Visual Motion Analysis Using Multiscale Markov ...
with: Brucher, M.: Unsupervised Nonlinear Manifold Learning
with: Bueno, G.: Construction of a 3d Physically-based Multi-object Deformab...
with: Bueno, G.: Joint Physics-Based Statistical Deformable Model for Multim...
with: Bueno, G.: Physically-Based Statistical Deformable Model for Brain Ima...
with: Charbonnier, P.: Affine-Invariant Geometric Shape Priors for Region-Ba...
with: Charbonnier, P.: Affine-Invariant Multi-reference Shape Priors for Act...
with: Charbonnier, P.: Geometric shape priors for region-based active contours
with: Charbonnier, P.: Introducing shape priors in object-based tomographic ...
with: Charbonnier, P.: Mean shift-based Bayesian image reconstruction into v...
with: Charbonnier, P.: Multi-Reference Shape Priors for Active Contours
with: Charbonnier, P.: Robust Pose Estimation and Recognition Using Non-Gaus...
with: Charbonnier, P.: Robust Visual Recognition of Color Images
with: Charbonnier, P.: Unsupervised Statistical Detection of Changing Object...
with: Charot, F.: Efficient Parallel Multigrid Relaxation Algorithms for Ma...
with: Conze, P.H.: Semi-automatic Liver Tumor Segmentation in Dynamic Contra...
with: Conze, P.H.: Unsupervised learning-based long-term superpixel tracking
with: Dahyot, R.: Robust Visual Recognition of Color Images
with: Dahyot, R.: Unsupervised Statistical Detection of Changing Objects in ...
with: Fabre, E.: Hierarchical Statistical Models for the Fusion of Multireso...
with: Faisan, S.: Hidden semi-Markov event sequence models: application to b...
with: Faisan, S.: Joint Disentanglement of Labels and Their Features with VAE
with: Faisan, S.: Unsupervised Learning and Mapping of Active Brain Function...
with: Foulonneau, A.: Affine-Invariant Geometric Shape Priors for Region-Bas...
with: Foulonneau, A.: Affine-Invariant Multi-reference Shape Priors for Acti...
with: Foulonneau, A.: Geometric shape priors for region-based active contours
with: Foulonneau, A.: Multi-Reference Shape Priors for Active Contours
with: Gaullier, G.: Introducing shape priors in object-based tomographic rec...
with: Hamdan, R.: Gesture Localization and Recognition Using Probabilistic V...
with: Hamdan, R.: low complexity approximation of probabilistic appearance m...
with: Harsan, L.: Spatially Constrained Online Dictionary Learning for Sourc...
with: Heinrich, C.: 3-D Deformable Image Registration: A Topology Preservati...
with: Heinrich, C.: Accurate Inversion of 3-D Transformation Fields
with: Heinrich, C.: efficient incremental strategy for constrained groupwise...
with: Heinrich, C.: Topology Preserving Non-rigid Registration Method Using ...
with: Heinrich, C.: Unsupervised Nonlinear Manifold Learning
with: Kervrann, C.: Hierarchical Markov Modeling Approach for the Segmentati...
with: Kervrann, C.: Hierarchical Statistical Framework for the Segmentation ...
with: Kervrann, C.: Markov Random-Field Model-Based Approach to Unsupervised...
with: Kervrann, C.: Robust tracking of stochastic deformable models in long ...
with: Kervrann, C.: Statistical Deformable Model-Based Segmentation of Image...
with: Kervrann, C.: Statistical Model-Based Estimation and Tracking of Non-R...
with: Kervrann, C.: Statistical Model-Based Segmentation of Deformable Motion
with: Laferte, J.M.: Discrete Markov Image Modeling and Inference on the Qua...
with: Laferte, J.M.: Hierarchical Statistical Models for the Fusion of Multi...
with: Laferte, J.M.: Multiresolution EM Algorithm for Unsupervised Image Cla...
with: Lamard, M.: Unsupervised learning-based long-term superpixel tracking
with: Meillier, C.: Spatially Constrained Online Dictionary Learning for Sou...
with: Memeo, R.: Semi-automatic Liver Tumor Segmentation in Dynamic Contrast...
with: Memin, E.: Efficient Parallel Multigrid Relaxation Algorithms for Mar...
with: Metz Lutz, M.N.: Hidden semi-Markov event sequence models: application...
with: Metz Lutz, M.N.: Unsupervised Learning and Mapping of Active Brain Fun...
with: Musse, O.: 3D Deformable Image Matching Using Multiscale Minimization ...
with: Musse, O.: Construction of a 3d Physically-based Multi-object Deformab...
with: Musse, O.: Fast deformable matching of 3D images over multiscale neste...
with: Musse, O.: Topology Preserving Deformable Image Matching Using Constra...
with: Nikou, C.: Construction of a 3d Physically-based Multi-object Deformab...
with: Nikou, C.: Joint Physics-Based Statistical Deformable Model for Multim...
with: Nikou, C.: Multimodal image registration using statistically constrain...
with: Nikou, C.: Physically-Based Statistical Deformable Model for Brain Ima...
with: Nikou, C.: Robust Registration of Dissimilar Single and Multi-Modal Im...
with: Nikou, C.: Robust voxel similarity metrics for the registration of dis...
with: Noblet, V.: 3-D Deformable Image Registration: A Topology Preservation...
with: Noblet, V.: Accurate Inversion of 3-D Transformation Fields
with: Noblet, V.: efficient incremental strategy for constrained groupwise r...
with: Noblet, V.: Semi-automatic Liver Tumor Segmentation in Dynamic Contras...
with: Noblet, V.: Topology Preserving Non-rigid Registration Method Using a ...
with: Perez, P.: Discrete Markov Image Modeling and Inference on the Quadtree
with: Perez, P.: Hierarchical Statistical Models for the Fusion of Multireso...
with: Perez, P.: Multiresolution EM Algorithm for Unsupervised Image Classif...
with: Perez, P.: Multiscale Minimization of Global Energy Functions in Some ...
with: Perez, P.: Parallel Visual Motion Analysis Using Multiscale Markov Ran...
with: Perez, P.: Statistical Model-Based Estimation and Tracking of Non-Rigi...
with: Pessaux, P.: Semi-automatic Liver Tumor Segmentation in Dynamic Contra...
with: Quellec, G.: Unsupervised learning-based long-term superpixel tracking
with: Ronse, C.: Spatio-temporal Segmentation Using 3d Morphological Tools
with: Rousseau, F.: Semi-automatic Liver Tumor Segmentation in Dynamic Contr...
with: Thoraval, L.: Gesture Localization and Recognition Using Probabilistic...
with: Thoraval, L.: Hidden semi-Markov event sequence models: application to...
with: Thoraval, L.: low complexity approximation of probabilistic appearance...
with: Thoraval, L.: Unsupervised Learning and Mapping of Active Brain Functi...
with: Tilquin, F.: Unsupervised learning-based long-term superpixel tracking
with: Valette, S.: Joint Disentanglement of Labels and Their Features with VAE
with: Vik, T.: Mean shift-based Bayesian image reconstruction into visual su...
with: Vik, T.: Robust Pose Estimation and Recognition Using Non-Gaussian Mod...
with: Zou, K.F.: Joint Disentanglement of Labels and Their Features with VAE
111 for Heitz, F.
Heitz, G.
Standard Author Listing
with: Anguelov, D.: Discriminative Learning of Markov Random Fields for Segm...
with: Chatalbashev, V.: Discriminative Learning of Markov Random Fields for ...
with: Chechik, G.: Object separation in x-ray image sets
with: Elidan, G.: Learning Object Shape: From Drawings to Images
with: Elidan, G.: Shape-Based Object Localization for Descriptive Classifica...
with: Gupta, D.: Discriminative Learning of Markov Random Fields for Segment...
with: Koller, D.: Discriminative Learning of Markov Random Fields for Segmen...
with: Koller, D.: Learning Object Shape: From Drawings to Images
with: Koller, D.: Learning Spatial Context: Using Stuff to Find Things
with: Koller, D.: Shape-Based Object Localization for Descriptive Classifica...
with: Maurer, C.R.: Automatic Generation of Shape Models Using Nonrigid Regi...
with: Ng, A.: Discriminative Learning of Markov Random Fields for Segmentati...
with: Packer, B.: Shape-Based Object Localization for Descriptive Classifica...
with: Rohlfing, T.: Automatic Generation of Shape Models Using Nonrigid Regi...
with: Taskar, B.: Discriminative Learning of Markov Random Fields for Segmen...
15 for Heitz, G.
Heitz, L.
Standard Author Listing
with: Ashena, N.: Videograph: Towards Using Knowledge Graphs for Interactive...
with: Baumgartner, M.: Videograph: Towards Using Knowledge Graphs for Intera...
with: Bernstein, A.: Videograph: Towards Using Knowledge Graphs for Interact...
with: Pernisch, R.: Videograph: Towards Using Knowledge Graphs for Interacti...
with: Rossetto, L.: Videograph: Towards Using Knowledge Graphs for Interacti...
with: Ruosch, F.: Videograph: Towards Using Knowledge Graphs for Interactive...
Heitz, M.
Standard Author Listing
with: Bonneel, N.: Wasserstein Dictionary Learning: Optimal Transport-Based ...
with: Coeurjolly, D.: Wasserstein Dictionary Learning: Optimal Transport-Bas...
with: Cuturi, M.: Wasserstein Dictionary Learning: Optimal Transport-Based U...
with: Ngole, F.: Wasserstein Dictionary Learning: Optimal Transport-Based Un...
with: Peyre, G.: Wasserstein Dictionary Learning: Optimal Transport-Based Un...
with: Schmitz, M.A.: Wasserstein Dictionary Learning: Optimal Transport-Base...
with: Starck, J.L.: Wasserstein Dictionary Learning: Optimal Transport-Based...
7 for Heitz, M.
Heitzinger, T.
Standard Author Listing
with: Kampel, M.: IPT: A Dataset for Identity Preserved Tracking in Closed D...
Heitzler, M.
Standard Author Listing
with: Adey, B.T.: method to visualize the evolution of multiple interacting ...
with: Bar, H.R.: Light Source Metaphor Revisited: Bringing an Old Concept fo...
with: Farmakis Serebryakova, M.: Terrain Segmentation Using a U-Net for Impr...
with: Hackl, J.: method to visualize the evolution of multiple interacting s...
with: Hurni, L.: Domain adaptation in segmenting historical maps: A weakly s...
with: Hurni, L.: Light Source Metaphor Revisited: Bringing an Old Concept fo...
with: Hurni, L.: method to visualize the evolution of multiple interacting s...
with: Hurni, L.: Terrain Segmentation Using a U-Net for Improved Relief Shad...
with: Iosifescu Enescu, I.: method to visualize the evolution of multiple in...
with: Lam, J.C.: method to visualize the evolution of multiple interacting s...
with: Schenkel, R.: Light Source Metaphor Revisited: Bringing an Old Concept...
with: Schindler, K.: Domain adaptation in segmenting historical maps: A weak...
with: Wu, S.: Domain adaptation in segmenting historical maps: A weakly supe...
13 for Heitzler, M.