Urtasun, R.[Raquel]
Co Author Listing * 3D Human Body Tracking Using Deterministic Temporal Motion Models
* 3D People Tracking with Gaussian Process Dynamical Models
* 3D tracking for gait characterization and recognition
* Active Learning with Gaussian Processes for Object Categorization
* automatic method for determining quaternion field boundaries for ball-and-socket joint limits, An
* Co-training with noisy perceptual observations
* Combining discriminative and generative methods for 3D deformable surface and articulated pose reconstruction
* Data-driven animation of hand-object interactions
* Distributed message passing for large scale graphical models
* Efficient Large-Scale Stereo Matching
* Gaussian Processes for Object Categorization
* generative model for 3D urban scene understanding from movable platforms, A
* Hierarchical implicit surface joint limits for human body tracking
* Hierarchical Implicit Surface Joint Limits to Constrain Video-Based Motion Capture
* Learning to Recognize Objects from Unseen Modalities
* Local deformation models for monocular 3D shape recovery
* Modeling Human Locomotion with Topologically Constrained Latent Variable Models
* Monocular 3-D Tracking of the Golf Swing
* Patch-Based Pose Inference with a Mixture of Density Estimators
* Physically-based motion models for 3D tracking: A convex formulation
* Priors for People Tracking from Small Training Sets
* Rank Priors for Continuous Non-Linear Dimensionality Reduction
* Segmentation of 3D Head MR Images Using Morphological Reconstruction Under Constraints and Automatic Selection of Markers
* Sparse probabilistic regression for activity-independent human pose inference
* Sufficient dimension reduction for visual sequence classification
* Supervised hierarchical Pitman-Yor process for natural scene segmentation
* Temporal motion models for monocular and multiview 3D human body tracking
* Topologically controlled segmentation of 3D magnetic resonance images of the head by using morphological operators
* Transferring Nonlinear Representations using Gaussian Processes with a Shared Latent Space
* Unsupervised feature selection via distributed coding for multi-view object recognition
Includes: Urtasun, R.[Raquel] Urtasun, R.
30 for Urtasun, R.