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Description: 人脸检测的C/C++源代码，曾发表于 OPENCV 的 MAILING LIST，主要是对OPENCV 3.1 版本发布的代码做了一些速度上的优化，并且解决了内存泄漏的问题。这个程序所使用的 Paul Viola 提出（该论文“Rapid Object Detection using a Boosted Cascade of Simple Features”发表在 CVPR 01）的 Ada Boosted Cascade 算法可以说是目前最好最快的目标检测算法。
-Face Detection of C / C source code, once published in the OPENCV MAILING LIST. OPENCV mainly to the 3.1 release code so the speed of optimization, and the resolution of a memory leak problem. This procedure used by Paul Viola made (the paper "Rapid Object Detec tion using a Boosted Cascade of Simple Features , "published in CVPR 01) Ada Boosted Cascade algorithm can be said is the best and most fast target detection algorithm.
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Author: qgfhit |
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Description: This Matlab code implements an edge based geometric active contour model without reinitialization.
MATLAB Release: R13SP1
This Matlab code implements the level set method in Chunming Li et al s paper "Level Set Evolution without Re-initialization: A New Variational Formulation", in IEEE Proc. of CVPR 2005.
EVOLUTION.m: core function that performs level set evolution.
Demo1.m: a demo for a real cell images
Demo2.m: a demo for a synthetic noisy image
Demo1_ManualBinaryInitial: demo for the same image in Demo1, allows manual initialization by the user
Demo2_ManualBinaryInitial: demo for the same image in Demo2, allows manual initialization by the user
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Author: 薛正亮 |
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Description: This MATLAB code is an example of how to train the GCRF model
described in "Learning Gaussian Conditional Random Fields for
Low-Level Vision" by M.F. Tappen, C. Liu, E.H. Adelson, and
W.T. Freeman in CVPR 2007. If you use this code in your research,
please cite this paper
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Size: 43008 |
Author: 代松 |
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Description: This document briefly describes an implementation of the algorithms from
our paper Efficient Belief Propagation for Early Vision which appeared
in CVPR 2004.
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Size: 256000 |
Author: zky |
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Description: 文章Spatial Priors for Part-based Recognition using Statistical Models (Crandall, Felzenszwalb, Huttenlocher) CVPR 2005的c++源码,k-fan匹配和可视对象识别的监督学习算法的实现.
-Article Spatial Priors for Part-based Recognition using Statistical Models (Crandall, Felzenszwalb, Huttenlocher) CVPR 2005 the c++ Source, k-fan match and visual object recognition supervised learning algorithm.
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Author: 余晖 |
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Description: 介绍了世界范围内在计算机视觉领域的有突出研究成果的实验室极其个人，对介绍了计算机视觉领域的期刊杂志排名情况-Introduced the field of computer vision inherent in the world of laboratory research results highlight the very personal, and introduced the field of computer vision journals ranked
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Size: 135168 |
Author: 周小舟 |
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Description: 计算机视觉及模式识别国际会议（CVPR) 2007 大会报告：Combined segmentation and recognition-Computer Vision and Pattern Recognition International Conference (CVPR) 2007 report to the General Assembly: Combined segmentation and recognition
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Size: 8172544 |
Author: 万琴 |
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Description: verify the idea of Single Image Haze removal Using Dark Channel prior, which is the best paper of CVPR in 2009 conference.
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Size: 1024 |
Author: guhuxiang |
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Description: 2009,cvpr最佳论文,利用dark channel prior 来复原有雾的图像-2009, cvpr the best papers, the use of dark channel prior to restoration of foggy images
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Size: 761856 |
Author: 沧海一笑 |
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Description: 最新2010 cvpr 论文 oral paper：Aggregating local descriptors-Latest 2010 cvpr thesis oral paper: Aggregating local descriptors
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Size: 1688576 |
Author: 费炳超 |
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Description: This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper "Linear Spatial Pyramid Matching using Sparse Coding for Image Classification".
-This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR 09 paper "Linear Spatial Pyramid Matching using Sparse Coding for Image Classification".
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Size: 38353920 |
Author: qinlei |
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Description: 用来对图像进行分类。Source code for Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework. Computer Vision and Pattern Recognition (CVPR) 2009，Li-Jia Li, Richard Socher and Li Fei-Fei. -Source code for Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework. Computer Vision and Pattern Recognition (CVPR) 2009，Li-Jia Li, Richard Socher and Li Fei-Fei.
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Size: 31778816 |
Author: qinlei |
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Description: 这里有一份比较全的计算机视觉、模式识别的国际会议列表(日历形式),已经从2011年排到了2014年,ICIP、CVPR、ICCV、BMVC等知名会议都在表上,从事相关领域研究的人可以参考。另外还有一份中国计算机学会推荐的人工智能、模式识别领域的国际会议列表。-Here is a relatively full of computer vision, pattern recognition list of the International Conference on (calendar form), has been lined up from 2011, 2014, ICIP, CVPR, ICCV, BMVC conferences and other well-known on the table, the people engaged in related research in the field can refer to. There is also a recommendation of the artificial intelligence of China Computer Federation, an international conference on pattern recognition list.
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Author: 吴 |
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Description: 人脸检测的最新论文-CVPR-2010,Cascade-Object-Detection-with-Deformable-Part-Models--Felzenszwalb-Girshick-McAllester-Face detection of the latest paper-CVPR-2010
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Size: 579584 |
Author: 邓方旗 |
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Description: CV领域CVPR这两年里大牛的几篇文章，关于人体检测与跟踪的，技术含量颇高-Two years in the field of CV Daniel CVPR several articles on human detection and tracking, high-tech
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Author: grant |
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Description: CVPR最佳论文，暗通道去雾。这里提供了一种实现方法的源代码。-CVPR09 best paper
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Size: 2069504 |
Author: 小胡 |
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Description: 2009年CVPR最佳论文源代码
关于去雾算法的经典文章
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Size: 34816 |
Author: hupo2010815 |
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Description: 何恺明在CVPR会议上的最佳论文，基于暗通道先验的单幅图像去雾技术，演讲ppt，以及主要matlab程序
-Ho Kai Ming Best Paper in CVPR meeting, based on a priori dark passage to a single image fog technology, presentation ppt, and the main matlab program
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Author: lei |
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Description: CVPR 2014 ObjectnessBING 源代码(CVPR 2014 ObjectnessBING)
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Author: pengpeng123
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Description: CVPR 2019 全部论文开源源码汇总
CVPR2019 最佳论文:A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction CVPR2019 最佳学生论文：Reinforced Cross-Modal Matching & Self-Supervised Imitation Learning for Vision-Language Navigation(CVPR2019 best paper A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction
CVPR2019 best student paper Reinforced Cross-Modal Matching & Self-Supervised Imitation Learning for Vision-Language Navigation)
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Size: 68608 |
Author: 阳光普照LV |
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