Shape is like Space: Modeling Shape Representation as a Set of Qualitative Spatial Relations Andrew Lovett Kenneth Forbus

Source URL: silccenter.org

• Vision
• Feature detection
• Qualitative Reasoning Group
• Reasoning
• Feature
• Mental rotation
• Analogy
• Structure mapping engine
• Shape
• Outline of object recognition
• Regular icosahedron
• Orientation

2013 IEEE Intelligent Vehicles Symposium (IV) June 23-26, 2013, Gold Coast, Australia Design and implementation of a high performance pedestrian detection Antonio Prioletti1 , Paolo Grisleri2 , Mohan M. Trivedi3 and Albe

Source URL: cvrr.ucsd.edu

• Feature detection
• Statistical classification
• Face recognition
• Pedestrian detection
• Surveillance
• ViolaJones object detection framework
• Cascading classifiers
• Support vector machine
• Edge detection
• Receiver operating characteristic
• Histogram of oriented gradients
• Computer-aided diagnosis

Visual Classification of Coarse Vehicle Orientation using Histogram of Oriented Gradients Features Paul E. Rybski and Daniel Huber and Daniel D. Morris and Regis Hoffman Abstract— For an autonomous vehicle, detecting a

Source URL: www.ri.cmu.edu

• Machine learning
• Parts of speech
• Feature detection
• Histogram of oriented gradients
• Classifier
• Lidar
• Statistical classification
• Pattern recognition
• Caltech 101
• ViolaJones object detection framework
• Chinese classifier

Supervised Learning of Edges and Object Boundaries Piotr Doll´ar Zhuowen Tu Serge Belongie

Source URL: pages.ucsd.edu

• Feature detection
• Ensemble learning
• Machine learning
• Image segmentation
• Canny edge detector
• Supervised learning
• Edge detection
• Boosting
• AdaBoost
• Conditional random field
• Outline of object recognition
• Cascading classifiers

Backprojection Revisited: Scalable Multi-view Object Detection and Similarity Metrics for Detections Nima Razavi1 , Juergen Gall1 , and Luc Van Gool1,2 1

Source URL: files.is.tue.mpg.de

FOR REVIEW: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection

Source URL: www.stat.ucla.edu

Latent Hough Transform for Object Detection Nima Razavi1 , Juergen Gall2 , Pushmeet Kohli3 , and Luc van Gool1,4 1 2

Source URL: files.is.tue.mpg.de

Scalable Multi-class Object Detection Nima Razavi1 Juergen Gall1 1 ETH Zurich, Switzerland

Source URL: files.is.tue.mpg.de

Learning Active Basis Model for Object Detection and Recognition Ying Nian Wu1 , Zhangzhang Si1 , Haifeng Gong1,2 , and Song-Chun Zhu1,2 1 Department of Statistics, University of California, Los Angeles

Source URL: www.stat.ucla.edu

From Co-saliency Detection to Object Co-segmentation: a Unified Multi-stage Low-rank Matrix Recovery Approach Hao Chen, Panbing Wang, Ming Liu*  Abstract—Object co-segmentation aims to identify and

Source URL: www.ram-lab.com