A tale of two object recognition methods for mobile robots Arnau Ramisa1 , Shrihari Vasudevan2 , Davide Scharamuzza2 , Ram´on L´opez de M´antaras1 and Roland Siegwart2 1

Source URL: robotics.ethz.ch

• Computer vision
• Software engineering
• Artificial intelligence
• Feature detection
• Outline of object recognition
• Image segmentation
• Self
• Object
• 3D single-object recognition
• KadirBrady saliency detector

Object recognition using metric shape

Source URL: www.indiana.edu

Scene Recognition and Weakly Supervised Object Localization with Deformable Part-Based Models Megha Pandey and Svetlana Lazebnik Dept. of Computer Science, University of North Carolina at Chapel Hill {megha,lazebnik}@cs.

Source URL: www.cs.unc.edu

Robot Localization Using Soft Object Detection

Source URL: rpg.ifi.uzh.ch

• Feature detection
• Outline of object recognition
• Heat map
• Speeded up robust features
• Color histogram
• Image segmentation
• Object detection
• Conference on Computer Vision and Pattern Recognition

What is the Best Multi-Stage Architecture for Object Recognition? Kevin Jarrett, Koray Kavukcuoglu, Marc’Aurelio Ranzato and Yann LeCun The Courant Institute of Mathematical Sciences New York University, 715 Broadway,

Source URL: koray.kavukcuoglu.org

Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition Koray Kavukcuoglu Marc’Aurelio Ranzato

Source URL: koray.kavukcuoglu.org

Pictorial Structures for Object Recognition Pedro F. Felzenszwalb Artificial Intelligence Lab, Massachusetts Institute of Technology Daniel P. Huttenlocher Computer Science Department, Cornell University

Source URL: cs.brown.edu

Object Recognition by Combining Appearance and Geometry David Crandall1 , Pedro Felzenszwalb2 , and Daniel Huttenlocher1 1 Cornell University

Source URL: cs.brown.edu

WANG et al.: LEARNING OBJECT RECOGNITION FROM DESCRIPTIONS 1 Learning Models for Object Recognition from Natural Language Descriptions

Source URL: www.comp.leeds.ac.uk

Learning Models for Object Recognition Pedro F. Felzenszwalb Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge, MA 02139

Source URL: cs.brown.edu