Data Driven 3D Voxel Patterns for Object Category Recognition

Source URL: yuxng.github.io

Journal of Experimental Psychology: General 2016, Vol. 145, No. 1, 82–94 © 2016 American Psychological Association/$12.00 http://dx.doi.orgxge0000129

Source URL: vision.stanford.edu

• Film
• Artificial intelligence
• Computer vision
• Semantics
• Image processing
• Categorization
• Cognition
• Knowledge representation
• Outline of object recognition
• The Matrix
• Convolutional neural network
• Bag-of-words model in computer vision

1 Multiple Kernel Learning for Visual Object Recognition: A Review Serhat S. Bucak, Student Member, IEEE, Rong Jin, Member, IEEE, and Anil K. Jain, Fellow, IEEE

Source URL: www.cse.msu.edu

Objects as Attributes for Scene Classification Li-Jia Li*, Hao Su*, Yongwhan Lim, Li Fei-Fei Computer Science Department, Stanford University Abstract. Robust low-level image features have proven to be effective represen

Source URL: vision.stanford.edu

• Computer vision
• Artificial intelligence
• Vision
• ImageNet
• Outline of object recognition
• LabelMe
• One-shot learning
• Cognitive neuroscience of visual object recognition

Automatic Thumbnail Generation Based on Visual Representativeness and Foreground Recognizability Jingwei Huang1,2,⋆ , Huarong Chen1,2,⋆ , Bin Wang1,2 , Stephen Lin3 1 School of Software, Tsinghua University 2 Tsingh

Source URL: www.cv-foundation.org

• Image processing
• Visual arts
• Vision
• Communication design
• Graphic design
• Computer vision
• Saliency map
• Thumbnail
• Cropping
• Seam carving
• Image segmentation
• Outline of object recognition

Local Convolutional Features with Unsupervised Training for Image Retrieval Mattis Paulin 1 Julien Mairal1 1 Inria ∗

Source URL: www.cv-foundation.org

• Feature detection
• Computer vision
• Artificial intelligence
• Vision
• Computational neuroscience
• Convolutional neural network
• Deep learning
• Outline of object recognition
• Maximally stable extremal regions
• Visual descriptor
• GLOH
• Conference on Computer Vision and Pattern Recognition

Object Categorization by Learned Universal Visual Dictionary J. Winn, A. Criminisi and T. Minka Microsoft Research, Cambridge, UK – http://research.microsoft.com/vision/cambridge/recognition/ Figure 1: Exemplar snapsho

Source URL: www.johnwinn.org

CGI2012 manuscript No. (will be inserted by the editor) Transferring Characteristic Proportions to Modify the Artistic Style of Cartoons Philip Buchanan · Michael Doggett

Source URL: fileadmin.cs.lth.se

• Perception
• Geon
• Vision
• Shape
• Cognitive science
• Image segmentation
• Rendering
• Outline of object recognition
• Algorithm
• Light
• Image registration
• Mathematics

What Next? Progress and Pressing Challenges in Object Recognition Derek Hoiem Department of Computer Science University of Illinois at Urbana-Champaign (UIUC)

Source URL: host.robots.ox.ac.uk

Visual Object Recognition Dr. Lior Wolf School of Computer Science, Tel Aviv University 1

Source URL: tq.cs.tau.ac.il