用户名  找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Computer Vision – ECCV 2018 Workshops; Munich, Germany, Sep Laura Leal-Taixé,Stefan Roth Conference proceedings 2019 Springer Nature Switze

[复制链接]
查看: 51762|回复: 55
发表于 2025-3-21 17:15:39 | 显示全部楼层 |阅读模式
书目名称Computer Vision – ECCV 2018 Workshops
副标题Munich, Germany, Sep
编辑Laura Leal-Taixé,Stefan Roth
视频videohttp://file.papertrans.cn/235/234202/234202.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computer Vision – ECCV 2018 Workshops; Munich, Germany, Sep Laura Leal-Taixé,Stefan Roth Conference proceedings 2019 Springer Nature Switze
描述The six-volume set comprising the LNCS volumes 11129-11134 constitutes the refereed proceedings of the workshops that took place in conjunction with the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.43 workshops from 74 workshops proposals were selected for inclusion in the proceedings. The workshop topics present a good orchestration of new trends and traditional issues, built bridges into neighboring fields, and discuss fundamental technologies and novel applications..
出版日期Conference proceedings 2019
关键词computer vision; machine learning; vision for robotics; natural language processing; activity recognitio
版次1
doihttps://doi.org/10.1007/978-3-030-11018-5
isbn_softcover978-3-030-11017-8
isbn_ebook978-3-030-11018-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

书目名称Computer Vision – ECCV 2018 Workshops影响因子(影响力)




书目名称Computer Vision – ECCV 2018 Workshops影响因子(影响力)学科排名




书目名称Computer Vision – ECCV 2018 Workshops网络公开度




书目名称Computer Vision – ECCV 2018 Workshops网络公开度学科排名




书目名称Computer Vision – ECCV 2018 Workshops被引频次




书目名称Computer Vision – ECCV 2018 Workshops被引频次学科排名




书目名称Computer Vision – ECCV 2018 Workshops年度引用




书目名称Computer Vision – ECCV 2018 Workshops年度引用学科排名




书目名称Computer Vision – ECCV 2018 Workshops读者反馈




书目名称Computer Vision – ECCV 2018 Workshops读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 22:22:11 | 显示全部楼层
发表于 2025-3-22 00:38:51 | 显示全部楼层
MobileFace: 3D Face Reconstruction with Efficient CNN Regressiond costly methods preventing real-time applications. In this work we design a compact and fast CNN model enabling real-time face reconstruction on mobile devices. For this purpose, we first study more traditional but slow morphable face models and use them to automatically annotate a large set of ima
发表于 2025-3-22 06:49:16 | 显示全部楼层
发表于 2025-3-22 09:42:02 | 显示全部楼层
Non-rigid 3D Shape Registration Using an Adaptive Templated; (2) an adaptive shape template method to improve the convergence of registration algorithms and achieve a better final shape correspondence and (3) a new iterative registration method that combines Iterative Closest Points with Coherent Point Drift (CPD) to achieve a more stable and accurate corr
发表于 2025-3-22 13:31:21 | 显示全部楼层
3D Human Body Reconstruction from a Single Image via Volumetric Regressionsion. The proposed method does not require the fitting of a shape model and can be trained to work from a variety of input types, whether it be landmarks, images or segmentation masks. Additionally, non-visible parts, either self-occluded or otherwise, are still reconstructed, which is not the case
发表于 2025-3-22 20:02:42 | 显示全部楼层
发表于 2025-3-22 21:47:50 | 显示全部楼层
发表于 2025-3-23 02:22:58 | 显示全部楼层
MoQA – A Multi-modal Question Answering Architecturetbook Question Answering (TQA) focuses on questions based on the school curricula, where the text and diagrams are extracted from textbooks. A subset of questions cannot be answered solely based on diagrams, but requires external knowledge of the surrounding text. In this work, we propose a novel de
发表于 2025-3-23 07:47:34 | 显示全部楼层
Quantifying the Amount of Visual Information Used by Neural Caption Generatorsmage foils is reported, showing that the extent to which image captioning architectures retain and are sensitive to visual information varies depending on the type of word being generated and the position in the caption as a whole. We motivate this work in the context of broader goals in the field t
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 吾爱论文网 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-7-26 19:54
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表