Index for urta

Urtasun, I.[Inaki] Co Author Listing * Fast and robust ellipse detection algorithm for head-mounted eye tracking systems
Includes: Urtasun, I.[Inaki] Urtasun, I.[Iņaki]

Urtasun, R. Co Author Listing * 3D Graph Neural Networks for RGBD Semantic Segmentation
* 3D Human Body Tracking Using Deterministic Temporal Motion Models
* 3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection
* 3D People Tracking with Gaussian Process Dynamical Models
* 3D tracking for gait characterization and recognition
* 3D Traffic Scene Understanding From Movable Platforms
* Active Learning with Gaussian Processes for Object Categorization
* Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books
* Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs
* Annotating Object Instances with a Polygon-RNN
* Are we ready for autonomous driving? The KITTI vision benchmark suite
* automatic method for determining quaternion field boundaries for ball-and-socket joint limits, An
* Be Your Own Prada: Fashion Synthesis with Structural Coherence
* Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision
* Beyond Feature Points: Structured Prediction for Monocular Non-rigid 3D Reconstruction
* Bottom-Up Segmentation for Top-Down Detection
* Box in the Box: Joint 3D Layout and Object Reasoning from Single Images
* Co-training with noisy perceptual observations
* Combining discriminative and generative methods for 3D deformable surface and articulated pose reconstruction
* constrained latent variable model, A
* Continuous Markov Random Fields for Robust Stereo Estimation
* Data-driven animation of hand-object interactions
* Deep Continuous Fusion for Multi-sensor 3D Object Detection
* Deep Watershed Transform for Instance Segmentation
* Deep Watershed Transform for Instance Segmentation
* DeepRoadMapper: Extracting Road Topology from Aerial Images
* Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation
* Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts
* Distributed message passing for large scale graphical models
* Efficient Deep Learning for Stereo Matching
* Efficient Exact Inference for 3D Indoor Scene Understanding
* Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation
* Efficient Large-Scale Stereo Matching
* Efficient Multiple Instance Metric Learning Using Weakly Supervised Data
* Efficient structured prediction for 3D indoor scene understanding
* End-to-End Deep Structured Models for Drawing Crosswalks
* Enhancing Road Maps by Parsing Aerial Images Around the World
* Estimating Drivable Collision-Free Space from Monocular Video
* Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors
* Exploiting Deep Matching and SAR Data for the Geo-Localization Accuracy Improvement of Optical Satellite Images
* Exploiting Semantic Information and Deep Matching for Optical Flow
* FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation
* Gaussian Processes for Object Categorization
* Generating Multi-sentence Natural Language Descriptions of Indoor Scenes
* generative model for 3D urban scene understanding from movable platforms, A
* HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images
* Hierarchical implicit surface joint limits for human body tracking
* Hierarchical Implicit Surface Joint Limits to Constrain Video-Based Motion Capture
* High Performance CRF Model for Clothes Parsing, A
* Holistic 3D scene understanding from a single geo-tagged image
* Holistic Scene Understanding for 3D Object Detection with RGBD Cameras
* HouseCraft: Building Houses from Rental Ads and Street Views
* Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding
* Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs
* Learning to Recognize Objects from Unseen Modalities
* Learning to segment under various forms of weak supervision
* Local deformation models for monocular 3D shape recovery
* Lost Shopping! Monocular Localization in Large Indoor Spaces
* Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization
* Map-Based Probabilistic Visual Self-Localization
* Modeling Human Locomotion with Topologically Constrained Latent Variable Models
* Monocular 3-D Tracking of the Golf Swing
* Monocular 3D Object Detection for Autonomous Driving
* Monocular Object Instance Segmentation and Depth Ordering with CNNs
* MovieQA: Understanding Stories in Movies through Question-Answering
* Neuroaesthetics in fashion: Modeling the perception of fashionability
* 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
* Real-time coarse-to-fine topologically preserving segmentation
* Rent3D: Floor-plan priors for monocular layout estimation
* Robust Monocular Epipolar Flow Estimation
* Role of Context for Object Detection and Semantic Segmentation in the Wild, The
* segDeepM: Exploiting segmentation and context in deep neural networks for object detection
* Segmentation of 3D Head MR Images Using Morphological Reconstruction Under Constraints and Automatic Selection of Markers
* Sentence Is Worth a Thousand Pixels, A
* SGN: Sequential Grouping Networks for Instance Segmentation
* Single Image Intrinsic Decomposition Without a Single Intrinsic Image
* Situation Recognition with Graph Neural Networks
* Sparse probabilistic regression for activity-independent human pose inference
* Sports Field Localization via Deep Structured Models
* Sufficient dimension reduction for visual sequence classification
* Supervised hierarchical Pitman-Yor process for natural scene segmentation
* Tell Me What You See and I Will Show You Where It Is
* 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
* TorontoCity: Seeing the World with a Million Eyes
* Towards Affordable Self-driving Cars
* Towards Diverse and Natural Image Descriptions via a Conditional GAN
* Transductive Gaussian processes for image denoising
* Transferring Nonlinear Representations using Gaussian Processes with a Shared Latent Space
* Understanding High-Level Semantics by Modeling Traffic Patterns
* Unsupervised feature selection via distributed coding for multi-view object recognition
* Vision meets robotics: The KITTI dataset
* Visual Semantic Search: Retrieving Videos via Complex Textual Queries
* What Are You Talking About? Text-to-Image Coreference
Includes: Urtasun, R. Urtasun, R.[Raquel]
97 for Urtasun, R.

Index for "u"


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