Index for gehl

Gehlen, S. Co Author Listing * Strategies and Benefits of Fusion of 2D and 3D Face Recognition

Gehler, P.[Peter] Co Author Listing * 2D Human Pose Estimation: New Benchmark and State of the Art Analysis
* 3D2PM: 3D Deformable Part Models
* DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
* Multi-View and 3D Deformable Part Models
* Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation
* Occlusion Patterns for Object Class Detection
* Poselet Conditioned Pictorial Structures
* Scene Carving: Scene Consistent Image Retargeting
* Strong Appearance and Expressive Spatial Models for Human Pose Estimation
* Teaching 3D geometry to deformable part models
Includes: Gehler, P.[Peter] Gehler, P.
10 for Gehler, P.

Gehler, P.V.[Peter V.] Co Author Listing * 3D object class detection in the wild
* Bayesian color constancy revisited
* Branch&Rank for Efficient Object Detection
* Branch&Rank: Non-Linear Object Detection
* Deep Directional Statistics: Pose Estimation with Uncertainty Quantification
* Efficient 2D and 3D Facade Segmentation Using Auto-Context
* Efficient Facade Segmentation Using Auto-context
* Efficient Nonlinear Markov Models for Human Motion
* Generative Model of People in Clothing, A
* Human Pose Estimation with Fields of Parts
* informed sampler: A discriminative approach to Bayesian inference in generative computer vision models, The
* Intrinsic Video
* Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
* Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks
* Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice
* Learning to Filter Object Detections
* Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers
* Non-parametric Bayesian Network Prior of Human Pose, A
* On Feature Combination for Multiclass Object Classification
* On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation
* Pottics: The Potts Topic Model for Semantic Image Segmentation
* Reflectance Adaptive Filtering Improves Intrinsic Image Estimation
* Semantic Video CNNs Through Representation Warping
* Superpixel Convolutional Networks Using Bilateral Inceptions
* Unite the People: Closing the Loop Between 3D and 2D Human Representations
* Video Propagation Networks
Includes: Gehler, P.V.[Peter V.] Gehler, P.V.[Peter Vincent] Gehler, P.V.
26 for Gehler, P.V.

Gehlert, A. Co Author Listing * low-complexity metric for the estimation of perceived chrominance sub-sampling errors in screen content images, A

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