One-Shot Learning of Object Categories
IEEE Transactions on Pattern Analysis and Machine Intelligence
Keypoint Recognition Using Randomized Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
International Journal of Computer Vision
Geometric and photometric invariant distinctive regions detection
Information Sciences: an International Journal
Foundations and Trends® in Computer Graphics and Vision
Efficient Learning of Relational Object Class Models
International Journal of Computer Vision
Robust Object Detection with Interleaved Categorization and Segmentation
International Journal of Computer Vision
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Features for image retrieval: an experimental comparison
Information Retrieval
Combinatorial and statistical methods for part selection for object recognition
International Journal of Computer Mathematics - Computer Vision and Pattern Recognition
Learning an Alphabet of Shape and Appearance for Multi-Class Object Detection
International Journal of Computer Vision
Locating and Segmenting 3D Deformable Objects by Using Clusters of Contour Fragments
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
A Comparative Study of Local Descriptors for Object Category Recognition: SIFT vs HMAX
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
A Multiple Kernel Learning Approach to Joint Multi-class Object Detection
Proceedings of the 30th DAGM symposium on Pattern Recognition
Improving the SIFT descriptor with smooth derivative filters
Pattern Recognition Letters
Contour Based Multi-object Classification Technology
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part I
Autonomous Attentive Exploration in Search and Rescue Scenarios
Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint
A Multimodal Constellation Model for Object Category Recognition
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
Learning Fast Emulators of Binary Decision Processes
International Journal of Computer Vision
Region and constellations based categorization of images with unsupervised graph learning
Image and Vision Computing
Shape-Based Object Localization for Descriptive Classification
International Journal of Computer Vision
Object localisation using the Generative Template of Features
Computer Vision and Image Understanding
A Bag of Strings Representation for Image Categorization
Journal of Mathematical Imaging and Vision
Learning to generate novel views of objects for class recognition
Computer Vision and Image Understanding
Classification of graphical data made easy
Neurocomputing
Spatial Configuration of Local Shape Features for Discriminative Object Detection
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
A Study of Parts-Based Object Class Detection Using Complete Graphs
International Journal of Computer Vision
OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning
International Journal of Computer Vision
A simple and effective neural model for the classification of structured patterns
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Learning a fast emulator of a binary decision process
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
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
Weakly supervised learning of component-based hierarchical model for object detection
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Hierarchical word image representation for parts-based object recognition
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Spatio-temporal tube kernel for actor retrieval
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
MRIM-LIG at ImageCLEF 2009: robotvision, image annotation and retrieval tasks
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
The semi-explicit shape model for multi-object detection and classification
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Cascaded models for articulated pose estimation
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Depth-encoded hough voting for joint object detection and shape recovery
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Human posture recognition for intelligent vehicles
Journal of Real-Time Image Processing
A multimodal constellation model for object image classification
Journal on Image and Video Processing - Special issue on selected papers from multimedia modeling conference 2009
Inference and Learning with Hierarchical Shape Models
International Journal of Computer Vision
View-tuned approximate partial matching kernel from hierarchical growing neural gases
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
Recursive Compositional Models for Vision: Description and Review of Recent Work
Journal of Mathematical Imaging and Vision
Sparse patch-histograms for object classification in cluttered images
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Learning of graphical models and efficient inference for object class recognition
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Weakly supervised learning of part-based spatial models for visual object recognition
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
About implicit and explicit shape representation
Reasoning, Action and Interaction in AI Theories and Systems
Sparse flexible models of local features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Located hidden random fields: learning discriminative parts for object detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
A statistically selected part-based probabilistic model for object recognition
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
A boundary-fragment-model for object detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Discovering class-specific informative patches and its application in landmark charaterization
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Part-Based object detection using cascades of boosted classifiers
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Online multiple instance gradient feature selection for robust visual tracking
Pattern Recognition Letters
Object Detection using Geometrical Context Feedback
International Journal of Computer Vision
Toward parts-based scene understanding with pixel-support parts-sparse pictorial structures
Pattern Recognition Letters
Object detection, shape recovery, and 3D modelling by depth-encoded hough voting
Computer Vision and Image Understanding
Object class detection: A survey
ACM Computing Surveys (CSUR)
Laplacian affine sparse coding with tilt and orientation consistency for image classification
Journal of Visual Communication and Image Representation
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We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semi-supervised manner: the model is learnt from example images containing category instances, without requiring segmentation from background clutter. The model is a sparse representation of the object, and consists of a star topology configuration of parts modeling the output of a variety of feature detectors. The optimal choice of feature types (whose repertoire includes interest points, curves and regions) is made automatically. In recognition, the model may be applied efficiently in an exhaustive manner, bypassing the need for feature detectors, to give the globally optimal match within a query image. The approach is demonstrated on a wide variety of categories, and delivers both successful classification and localization of the object within the image.