Восстановить пароль
FAQ по входу

Fleet D., Pajdla T., Schiele B., Tuytelaars T. (Eds.) Computer Vision - ECCV 2014. Part II

  • Файл формата pdf
  • размером 123,54 МБ
  • Добавлен пользователем
  • Отредактирован
Fleet D., Pajdla T., Schiele B., Tuytelaars T. (Eds.) Computer Vision - ECCV 2014. Part II
Proceedings of 13th European Conference on Computer Vision: in 7 parts. — New York: Springer, 2014. — 853 p.
Learning and Inference (continued)
Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment
From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices
Pose Machines: Articulated Pose Estimation via Inference Machines
Poster Session 2
Piecewise-Planar StereoScan: Structure and Motion from Plane Primitives
Nonrigid Surface Registration and Completion from RGBD Images
Unsupervised Dense Object Discovery, Detection, Tracking and Reconstruction
Know Your Limits: Accuracy of Long Range Stereoscopic Object Measurements in Practice
As-Rigid-As-Possible Stereo under Second Order Smoothness Priors
Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional
A MAP-Estimation Framework for Blind Deblurring Using High-Level Edge Priors
Efficient Color Constancy with Local Surface Reflectance Statistics
A Contrast Enhancement Framework with JPEG Artifacts Suppression
Radial Bright Channel Prior for Single Image Vignetting Correction
Tubular Structure Filtering by Ranking Orientation Responses of Path Operators
Optimization-Based Artifact Correction for Electron Microscopy Image Stacks
Metric-Based Pairwise and Multiple Image Registration
Canonical Correlation Analysis on Riemannian Manifolds and Its Applications
Scalable 6-DOF Localization on Mobile Devices
On Mean Pose and Variability of 3D Deformable Models
Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians
What Do I See? Modeling Human Visual Perception for Multi-person Tracking
Consistent Re-identification in a Camera Network
Surface Normal Deconvolution: Photometric Stereo for Optically Thick Translucent Objects
Intrinsic Video
Robust and Accurate Non-parametric Estimation of Reflectance Using Basis Decomposition and Correction Functions
Intrinsic Textures for Relightable Free-Viewpoint Video
Reasoning about Object Affordances in a Knowledge Base Representation
Binary Codes Embedding for Fast Image Tagging with Incomplete Labels
Recognizing Products: A Per-exemplar Multi-label Image Classification Approach
Part-Pair Representation for Part Localization
Weakly Supervised Learning of Objects, Attributes and Their Associations
Interestingness Prediction by Robust Learning to Rank
Pairwise Probabilistic Voting: Fast Place Recognition without RANSAC
Robust Instance Recognition in Presence of Occlusion and Clutter
Learning 6D Object Pose Estimation Using 3D Object Coordinates
Growing Regression Forests by Classification: Applications to Object Pose Estimation
Stacked Deformable Part Model with Shape Regression for Object Part Localization
Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation
Self-explanatory Sparse Representation for Image Classification
Efficient k-Support Matrix Pursuit
Geodesic Regression on the Grassmannian
Model Selection by Linear Programming
Perceptually Inspired Layout-Aware Losses for Image Segmentation
Large Margin Local Metric Learning
Movement Pattern Histogram for Action Recognition and Retrieval
Pose Filter Based Hidden-CRF Models for Activity Detection
Action Recognition Using Super Sparse Coding Vector
HOPC: Histogram of Oriented Principal Components of 3D Point Clouds for Action Recognition
Natural Action Recognition Using Invariant 3D Motion Encoding
Detecting Social Actions of Fruit Flies
Structure from Motion and Feature Matching
Progressive Mode-Seeking on Graphs for Sparse Feature Matching
Globally Optimal Inlier Set Maximization with Unknown Rotation and Focal Length
Match Selection and Refinement for Highly Accurate Two-View Structure from Motion
LSD-SLAM: Large-Scale Direct Monocular SLAM
  • Чтобы скачать этот файл зарегистрируйтесь и/или войдите на сайт используя форму сверху.
  • Регистрация