Discriminative Learning of Deep Convolutional Feature Point Descriptors Edgar Simo-Serra∗,1,5 , Eduard Trulls∗,2,5 , Luis Ferraz3 Iasonas Kokkinos4 , Pascal Fua2 , Francesc Moreno-Noguer5 1 Waseda University, Tokyo,

Source URL: www.cv-foundation.org

• Feature detection
• Speeded up robust features
• Descriptor
• Visual descriptor
• Feature
• Structure from motion
• Outline of object recognition
• Vision

Fast R-CNN Ross Girshick Microsoft Research arXiv:1504.08083v2 [cs.CV] 27 Sep 2015

Source URL: arxiv.org

• Computational neuroscience
• Artificial neural networks
• Applied mathematics
• Cybernetics
• Cognitive science
• Computer vision
• Convolutional neural network
• Machine learning
• CNN
• Artificial intelligence
• Outline of object recognition
• Image segmentation

What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization Li Fei-Fei and Li-Jia Li Abstract We live in a richly visual world. More than one third of the

Source URL: vision.stanford.edu

• Outline of object recognition
• Image segmentation
• Mental image
• Cognitive science
• Cognition
• One-shot learning

3D Object Recognition and Pose Estimation for Multiple Objects using Multi-Prioritized RANSAC and Model Updating Michele Fenzi, Ralf Dragon, Laura Leal-Taix´e, Bodo Rosenhahn, and J¨orn Ostermann Institute for Informat

Source URL: www.tnt.uni-hannover.de

Data-Driven 3D Voxel Patterns for Object Category Recognition 1,2 Xiang , 3 Choi ,

Source URL: yuxng.github.io

3D LayoutCRF for Multi-View Object Class Recognition and Segmentation Derek Hoiem Robotics Institute, Carnegie Mellon University Carsten Rother, John Winn

Source URL: www.johnwinn.org

C-Slate: A Multi-Touch and Object Recognition System for Remote Collaboration using Horizontal Surfaces Shahram Izadi, Ankur Agarwal, Antonio Criminisi, John Winn, Andrew Blake, Andrew Fitzgibbon Microsoft Research Cambr

Source URL: www.johnwinn.org

TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-Class Object Recognition and Segmentation J. Shotton2 , J. Winn1 , C. Rother1 , and A. Criminisi1 1

Source URL: www.johnwinn.org

Image quality, evaluation, optimization and object recognition in the reproduction of medical radiographs Hoosain M Ebrahim Department of Medical Illustration

Source URL: www.rps-isg.org

Practical object recognition in autonomous driving and beyond Alex Teichman and Sebastian Thrun Stanford University Computer Science Department

Source URL: cs.stanford.edu