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Object recognition
Results: 1078

#	Item
591	Spatially coherent latent topic model for concurrent object segmentation and classification Liangliang Cao Dept. of Electrical and Computer Engineering University of Illinois at Urbana-Champaign (UIUC), USA Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2009-05-16 21:55:45 Statistical natural language processing Image processing One-shot learning Segmentation Latent Dirichlet allocation Probabilistic latent semantic analysis Object recognition Content-based image retrieval Bag of words model in computer vision Computer vision Artificial intelligence Statistics
592	Robustness Analysis of 3D Feature Descriptors for Object Recognition Using a Time-of-Flight Camera Levente Tamas1 and Bjoern Jensen2 Abstract— In this paper we propose to analyze characteristics of the feature descript Add to Reading List Source URL: www.roboticslab.ti.bfh.ch Language: English - Date: 2014-09-09 06:10:35 Feature Segmentation Object recognition Vector Field Histogram SURF Scale-invariant feature transform Histogram of oriented gradients Computer vision Artificial intelligence Visual descriptors
593	Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification Li-Jia Li1 , Hao Su1 , Eric P. Xing2 , Li Fei-Fei1 1 Computer Science Department, Stanford University 2 Machine Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:29:30 One-shot learning Shape context Scale space Part-based models LabelMe Object recognition Pose Linear classifier Supervised learning Computer vision Vision Imaging
594	Theory and Applications of Categories, Vol. 29, No. 23, 2014, pp. 635–653. CONSTRUCTING MODEL CATEGORIES WITH PRESCRIBED FIBRANT OBJECTS ALEXANDRU E. STANCULESCU Abstract. We present a weak form of a recognition princ Add to Reading List Source URL: www.emis.de Language: English - Date: 2014-10-23 11:47:00 Category theory Mathematics Algebraic topology Monoidal categories Model category Adjoint functors Fibrant object Kan fibration Simplicial set Homotopy theory Abstract algebra Topology
595	Detecting avocados to zucchinis: what have we done, and where are we going? Olga Russakovsky1 , Jia Deng1 , Zhiheng Huang1 , Alexander C. Berg2 , Li Fei-Fei1 Stanford University1 , UNC Chapel Hill2 Abstract Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-11-09 20:10:05 Caltech 101 LabelMe Object recognition Part-based models Segmentation Object detection Kadir–Brady saliency detector Boosting methods for object categorization Computer vision Image processing California Institute of Technology
596	Action Recognition with Exemplar Based 2.5D Graph Matching Bangpeng Yao Li Fei-Fei Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 17:55:08 Artificial intelligence Object recognition Pose 2.5D Stereoscopy Computer vision Vision Optics
597	Classifying Actions and Measuring Action Similarity by Modeling the Mutual Context of Objects and Human Poses Bangpeng Yao [removed] Aditya Khosla [removed] Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:20:21 Artificial intelligence Object recognition Pose Symmetry Computer vision Vision Imaging
598	Local Feature View Clustering for 3D Object Recognition David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., V6T 1Z4, Canada [removed] Add to Reading List Source URL: www.cs.ubc.ca Language: English - Date: 2001-09-16 01:33:24 Object recognition 3D single object recognition Scale-invariant feature transform Pose SURF Pattern recognition Hough transform Bag of words model in computer vision Computer vision Vision Imaging
599	Grouplet: A Structured Image Representation for Recognizing Human and Object Interactions Bangpeng Yao Li Fei-Fei Computer Science Department, Stanford University, USA {bangpeng,feifeili}@cs.stanford.edu Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:30:00 Imaging Caltech 101 Feature selection Object recognition Pose K-nearest neighbor algorithm Computer vision Artificial intelligence Vision
600	Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities Bangpeng Yao Li Fei-Fei Computer Science Department, Stanford University, USA {bangpeng,feifeili}@cs.stanford.edu Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:30:03 Imaging Pose Object recognition Segmentation Activity recognition One-shot learning Scale-invariant feature transform Computer vision Artificial intelligence Vision

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