搜索资源列表
Digital_Tapestry_CVPR05
- 05年CVPR的一篇经典文章，提供了图片集摘要制作的解决方案，在有限的空间内最大地展示图片集内容。
Picture_Collage
- 06年CVPR的文章。提供了图片集摘要制作的解决方案，也可以制作层叠样式的相册或者海报，视觉效果相当地好。
CVPR_guider
- 里面介绍了机器视觉的学习相关网站，由低到高，适合参考-Which introduced the study of machine vision-related sites, from low to high, suitable for reference
Visual-Trackingcvpr09
- 09年CVPR上的一篇很好的关于目标跟踪的论文，很有参考价值-CVPR 2009 on a very good papers on target tracking, a good reference
BodyPartRecognition
- kinect的核心原理最新论文，出自微软剑桥研究院，获得CVPR best paper. -kinect theory, new paper
A-approach-for--object-detection
- CVPR 2011的优秀文章，主要是关于显著性区域检测-CVPR 2011 paper
McCannLowe_CVPR2012_1925
- 图像分类算法，2012年CVPR中的文章，效果还可以，采用“Local Naive Bayes Nearest Neighbor”方法-Image classification algorithm, CVPR 2012 article, the effect can also " Local Naive Bayes Nearest Neighbor method
Kumar_cvpr12
- 这篇文章主要采用“Client-Server based Vote Transfer”的方法进行对移动目标检测。是2012年CVPR中的文章。-The article " Client-Server based Vote Transfer" method to detect moving targets. CVPR 2012 article.
HOG
- hog学习资料，有两篇ppt还有作者的博士论文和cvpr上的原文，对想了解此算法的人很有帮助-hog learning materials, the two ppt the author' s doctoral thesis and cvpr on the original, helpful people who want to understand this algorithm
cvpr2010-tutorial-mvs
- 包含CVPR会议上三篇介绍三维重建与物体建模最新发展与研究的PPT文件。-The package contains three PPT documents[CVPR2010] introducing lastest development and research of 3D reconstrution and object modeling.
06248017
- 2012年cvpr最新的关于行人检测的文章，处理速度非常的快，而且效果很好。-2012 cvpr the latest articles on pedestrian detection, the processing speed is very fast, but the effect is very good.
CVPR-ScSPM
- Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification
Mei_Segment-Tree_Based_Cost
- s世界计算机视觉三大会议之CVPR会议，中国人发表的经典立体匹配的论文-s World Computer Vision Conference CVPR three meetings, the Chinese classic stereo matching published papers
chum09cvprMinHash
- hashCVPR上关于hash的文章，hashCVPR上关于hash的文章-hash CVPR
Haze-Removal
- 何恺明在CVPR会议上——基于暗通道先验的单幅图像去雾技术-Single Image Haze Removal Using Dark Channel Prior
Exploit_All_the_Layers
- CVPR会议的2016最新论文，提出了目标检测的相关模型改进-CVPR conference 2016 latest paper, proposed a target detection model improvements
ssd-method-for-object-detection
- ssd是当前目标检测领域的最先进的研究方法，也是今年CVPR会议的最新成果-Ssd is the most advanced research method in the current target detection field and the latest achievement of this year s CVPR conference
CVPR_2019_全部论文开源代码链接汇总 (1)
- 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 The