Localizing Overlapping Parts by Searching the Interpretation Tree
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Markov chain Monte Carlo method: an approach to approximate counting and integration
Approximation algorithms for NP-hard problems
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Learning for View-Based Human Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
A computational model for visual selection
Neural Computation
Saliency, Scale and Image Description
International Journal of Computer Vision
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Learning a Sparse Representation for Object Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Class-Specific, Top-Down Segmentation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Probablistic Affine Invariants for Recognition
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Viewpoint-Invariant Learning and Detection of Human Heads
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Unsupervised learning of models for object recognition
Unsupervised learning of models for object recognition
A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Spatial Priors for Part-Based Recognition Using Statistical Models
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Scale-invariant shape features for recognition of object categories
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Learning methods for generic object recognition with invariance to pose and lighting
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
PCA-SIFT: a more distinctive representation for local image descriptors
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Sharing features: efficient boosting procedures for multiclass object detection
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
Neural Computation
Learning an Alphabet of Shape and Appearance for Multi-Class Object Detection
International Journal of Computer Vision
Discovering Constrained Substructures in Bayesian Trees Using the E.M. Algorithm
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Learning to Localize Objects with Structured Output Regression
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Weakly Supervised Object Localization with Stable Segmentations
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
An Integrated Method for Multiple Object Detection and Localization
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
A Hierarchical Model for the Recognition of Deformable Objects
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Sparse B-spline polynomial descriptors for human activity recognition
Image and Vision Computing
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
A Study of Parts-Based Object Class Detection Using Complete Graphs
International Journal of Computer Vision
An Approach to the Parameterization of Structure for Fast Categorization
International Journal of Computer Vision
A model of computation and representation in the brain
Information Sciences: an International Journal
The Pascal Visual Object Classes (VOC) Challenge
International Journal of Computer Vision
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Combining models of pose and dynamics for human motion recognition
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Probabilistic combination of visual cues for object classification
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Object category detection using audio-visual cues
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Extracting structures in image collections for object recognition
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Modeling temporal structure of decomposable motion segments for activity classification
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Weakly supervised classification of objects in images using soft random forests
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
A coarse-to-fine taxonomy of constellations for fast multi-class object detection
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Object recognition using proportion-based prior information: Application to fisheries acoustics
Pattern Recognition Letters
Multimodal biometric human recognition for perceptual human-computer interaction
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Automatic learning sparse correspondences for initialising groupwise registration
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
Unsupervised moving object detection with on-line generalized hough transform
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
A Numerical Study of the Bottom-Up and Top-Down Inference Processes in And-Or Graphs
International Journal of Computer Vision
Affine invariant topic model for generic object recognition
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Accurate Object Recognition with Shape Masks
International Journal of Computer Vision
Retrieval of multiple instances of objects in videos
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
On Taxonomies for Multi-class Image Categorization
International Journal of Computer Vision
Incorporating shape into spatially-aware adaptive object segmentation algorithm
Proceedings of the Fifth International C* Conference on Computer Science and Software Engineering
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Semantic segmentation with second-order pooling
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
A relational kernel-based framework for hierarchical image understanding
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Beyond Independence: An Extension of the A Contrario Decision Procedure
International Journal of Computer Vision
Toward parts-based scene understanding with pixel-support parts-sparse pictorial structures
Pattern Recognition Letters
Detecting partially occluded objects with an implicit shape model random field
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Object class detection: A survey
ACM Computing Surveys (CSUR)
Car detection in sequences of images of urban environments using mixture of deformable part models
Pattern Recognition Letters
Discriminative Hough context model for object detection
The Visual Computer: International Journal of Computer Graphics
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We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning is translation and scale-invariant; does not require alignment or correspondence between the training images, and is robust to clutter and occlusion. Category models are probabilistic constellations of parts, and their parameters are estimated by maximizing the likelihood of the training data. The appearance of the parts, as well as their mutual position, relative scale and probability of detection are explicitly described in the model. Recognition takes place in two stages. First, a feature-finder identifies promising locations for the model"s parts. Second, the category model is used to compare the likelihood that the observed features are generated by the category model, or are generated by background clutter. The flexible nature of the model is demonstrated by results over six diverse object categories including geometrically constrained categories (e.g. faces, cars) and flexible objects (such as animals).