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Object detection
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#	Item
361	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
362	3D Model Matching with Viewpoint-Invariant Patches (VIP) Changchang Wu,1 Brian Clipp1 , Xiaowei Li1 , Jan-Michael Frahm1 and Marc Pollefeys1,2 1 Department of Computer Science The University of North Carolina at Chapel H Add to Reading List Source URL: www.inf.ethz.ch Language: English - Date: 2008-04-10 18:01:41 Imaging Optics Maximally stable extremal regions Object recognition Harris affine region detector Hessian affine region detector Corner detection 3D modeling Feature detection Computer vision Image processing Vision
363	DAMEN ET AL.: REAL-TIME LEARNING & DETECTION OF 3D TEXTURELESS OBJECTS 1 Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach Dima Damen1 Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2014-03-11 07:06:30 Artificial intelligence 3D single object recognition Object recognition Feature Geometric hashing Computer vision Vision Imaging
364	Learning Object Motion Patterns for Anomaly Detection and Improved Object Detection Arslan Basharat, Alexei Gritai, and Mubarak Shah Computer Vision Lab, School of Electrical Engineering and Computer Science, University Add to Reading List Source URL: eecs.ucf.edu Language: English - Date: 2008-08-28 14:07:30 Computer vision Image processing Anomaly detection Data mining Data security Video tracking Mixture model Kadir–Brady saliency detector Statistics Artificial intelligence Probability and statistics
365	Reconfigurable Templates for Robust Vehicle Detection and Classification Yang Lv1,3 , Benjamin Yao2,3 , Yongtian Wang1 and Song-Chun Zhu2,3 1 School of Computer Science, BIT 2 Department of Statistics, UCLA Add to Reading List Source URL: www.stat.ucla.edu Language: English - Date: 2012-11-02 15:10:34 Science Object recognition Part-based models Dynamic programming Ising model Machine learning Physics Artificial intelligence Computer vision
366	Speeded-Up Robust Features (SURF) Herbert Bay a , Andreas Ess a , Tinne Tuytelaars b , and Luc Van Gool a,b a ETH Zurich, BIWI Sternwartstrasse 7 Add to Reading List Source URL: ftp.vision.ee.ethz.ch Language: English - Date: 2008-09-10 03:52:03 Mathematics Scale-invariant feature transform SURF Object recognition Corner detection Scale space Interest point detection GLOH Gaussian function Computer vision Image processing Artificial intelligence
367	Finding People in Archive Films through Tracking Xiaofeng Ren Toyota Technological Institute at Chicago 1427 E. 60th Street, Chicago, IL[removed]removed] Add to Reading List Source URL: ttic.uchicago.edu Language: English - Date: 2008-04-07 16:32:25 Imaging Tracking Face detection Face recognition Video tracking Object recognition Vision Artificial intelligence Computer vision
368	Int J Comput Vis[removed]: 47–63 DOI[removed]s11263[removed]Learning Probabilistic Models for Contour Completion in Natural Images Xiaofeng Ren · Charless C. Fowlkes · Jitendra Malik Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2008-06-03 17:12:51 Optics Artificial intelligence Segmentation Edge detection Delaunay triangulation Graph Object recognition Active contour model Graph cuts in computer vision Computer vision Image processing Vision
369	Ghostscript wrapper for sharensferbourdevributesT.pdf Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-03-09 17:50:53 Statistical classification Face recognition Parts of speech Machine learning Face detection Classifier Histogram of oriented gradients Linear classifier Boosting methods for object categorization Artificial intelligence Statistics Vision
370	Multi-Component Models for Object Detection Chunhui Gu1 , Pablo Arbel´ aez2 , Yuanqing Lin3 , Kai Yu4 , and Jitendra Malik2 1 2 Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-09-26 17:34:20 Geometry Minimum bounding box Classifier Computer vision Statistical classification 3D computer graphics Boosting methods for object categorization Scale-invariant feature transform Artificial intelligence Vision Imaging

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