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Fitzgibbon A., Lazebnik S., Perona P., Sato Y., Schmid C. (Eds.) Computer Vision - ECCV 2012. Part III

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Fitzgibbon A., Lazebnik S., Perona P., Sato Y., Schmid C. (Eds.) Computer Vision - ECCV 2012. Part III
Proceedings of 12th European Conference on Computer Vision: in 7 parts. — New York: Springer, 2012. — 881 p.
Poster Session 3
Polynomial Regression on Riemannian Manifolds
Approximate Gaussian Mixtures for Large Scale Vocabularies
Geodesic Saliency Using Background Priors
Joint Face Alignment with Non-parametric Shape Models
Discriminative Bayesian Active Shape Models
Patch Based Synthesis for Single Depth Image Super-Resolution
Annotation Propagation in Large Image Databases via Dense Image Correspondence
Numerically Stable Optimization of Polynomial Solvers for Minimal Problems
Has My Algorithm Succeeded? An Evaluator for Human Pose Estimators
Group Tracking: Exploring Mutual Relations for Multiple Object Tracking
A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness
Robust Tracking with Weighted Online Structured Learning
Fast Regularization of Matrix-Valued Images
Blind Correction of Optical Aberrations
Inverse Rendering of Faces on a Cloudy Day
On Tensor-Based PDEs and Their Corresponding Variational Formulations with Application to Color Image Denoising
Kernelized Temporal Cut for Online Temporal Segmentation and Recognition
Grain Segmentation of 3D Superalloy Images Using Multichannel EWCVT under Human Annotation Constraints
Hough Regions for Joining Instance Localization and Segmentation
Learning to Segment a Video to Clips Based on Scene and Camera Motion
Evaluation of Image Segmentation Quality by Adaptive Ground Truth Composition
Oral Session 3: Detection and Attributes
Exact Acceleration of Linear Object Detectors
Latent Hough Transform for Object Detection
Using Linking Features in Learning Non-parametric Part Models Diagnosing Error in Object Detectors
Attributes for Classifier Feedback
Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes
Poster Session 4
Renormalization Returns: Hyper-renormalization and Its Applications
Scale Robust Multi View Stereo
Laplacian Meshes for Monocular 3D Shape Recovery
Soft Inextensibility Constraints for Template-Free Non-rigid Reconstruction
Spatiotemporal Descriptor for Wide-Baseline Stereo Reconstruction of Non-rigid and Ambiguous Scenes
Elevation Angle from Reflectance Monotonicity: Photometric Stereo for General Isotropic Reflectances
Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications
Ensemble Partitioning for Unsupervised Image Categorization
Set Based Discriminative Ranking for Recognition
A Global Hypotheses Verification Method for 3D Object Recognition
Are You Really Smiling at Me? Spontaneous versus Posed Enjoyment Smiles
Efficient Monte Carlo Sampler for Detecting Parametric Objects in Large Scenes .
Supervised Geodesic Propagation for Semantic Label Transfer
Bayesian Face Revisited: A Joint Formulation
Beyond Bounding-Boxes: Learning Object Shape by Model-Driven Grouping
In Defence of Negative Mining for Annotating Weakly Labelled Data
Describing Clothing by Semantic Attributes
Graph Matching via Sequential Monte Carlo
Jet-Based Local Image Descriptors
Abnormal Object Detection by Canonical Scene-Based Contextual Model
Shapecollage: Occlusion-Aware, Example-Based Shape Interpretation
Interactive Facial Feature Localization
Propagative Hough Voting for Human Activity Recognition
Spatio-Temporal Phrases for Activity Recognition
Complex Events Detection Using Data-Driven Concepts
Directional Space-Time Oriented Gradients for 3D Visual Pattern Analysis
Learning to Recognize Unsuccessful Activities Using a Two-Layer Latent Structural Model
Action Recognition Using Subtensor Constraint
Globally Optimal Closed-Surface Segmentation for Connectomics
Reduced Analytical Dependency Modeling for Classifier Fusion
Learning to Match Appearances by Correlations in a Covariance Metric Space
On the Convergence of Graph Matching: Graduated Assignment Revisited
Image Annotation Using Metric Learning in Semantic Neighbourhoods
Dynamic Programming for Approximate Expansion Algorithm
Real-Time Compressive Tracking
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