1. Sketch me that shoe, Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Cheng Change Loy, in CVPR 2016. A unique characteristic of sketches in the context of image retrieval is that they offer inherently fine-grained visual descript…

DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations, Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, Xiaoou Tang, in CVPR 2016. 这篇文章接收了一个large-scale的带有完善标注的服装数据集DeepFashion. 它包含超过800,000张图片,标注有大量的attributes,clothing land…

1. Neuroaesthetics in fashion: modeling the perception of fashionability, Edgar Simo-Serra, Sanja Fidler, Francesc Moreno-Noguer, Raquel Urtasun, in CVPR 2015. Goal: learn and predict how fashionable a person looks on a photograph, and suggest subtle…

今天作了一个paper reading,感觉论文不错,马克一下~ CVPR 2016 Best Paper Honorable Mention "Sublabel-Accurate Relaxation of Nonconvex Energies" 研究视觉问题的同学都知道,视觉问题很多都是多标签的问题,在进行优化的时候,我们都可以把他们转化为能量函数的形式,由数据项和平滑项组成.这些能量函数可以用变分的形式进行表达,当能量函数的项是非凸的话,一般使用梯度下降迭代的方法进行近似求解,有…

CVPR 2016 Visual Tracking Paper Review  本文摘自:http://blog.csdn.net/ben_ben_niao/article/details/52072659    http://blog.csdn.net/ben_ben_niao/article/details/52078727 做了一段时间的跟踪,最近CVPR大会也过了一段时间了,这次将CVPR2016跟踪的文章做一次总结,主要是对paper的方法,创新,改进等方面进行介绍和总结.具体的实现细…

In Defense of the Triplet Loss for Person Re-Identification  2017-07-02  14:04:20   This blog comes from: http://blog.csdn.net/shuzfan/article/details/70069822 Paper:  https://arxiv.org/abs/1703.07737 Github: https://github.com/VisualComputingInstitu…

开篇第一篇就写一个paper reading吧,用markdown+vim写东西切换中英文挺麻烦的,有些就偷懒都用英文写了. Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras Abstract Optimization objectives: intrinsic/extrinsic parameters of all keyframes all selected pixels' depth Inte…

小编按: 计算机视觉和模式识别领域顶级会议CVPR 2016于六月末在拉斯维加斯举行.微软亚洲研究院在此次大会上共有多达15篇论文入选,这背后也少不了微软亚洲研究院的实习生的贡献.大会结束之后,小编第一时间邀请参与了本次大会的张弛.张婷和张祥雨三位同学,与我们分享了他们眼中的CVPR大会.参加CVPR大会是一种什么样的体验?CVPR论文是如何写成的?看完你就知道! 作者简介 2016"> 张弛(论文:Joint Multiview Segmentation and Localization…

Link of the Paper: https://arxiv.org/abs/1412.2306 Main Points: An Alignment Model: Convolutional Neural Networks over image regions ( An image -> RCNN -> Top 19 detected locations in addition to the whole image -> the representations based on th…

Link of the Paper: https://ieeexplore.ieee.org/document/7298856/ A Correlative Paper: Learning a Recurrent Visual Representation for Image Caption Generation (Link of the Paper: https://arxiv.org/abs/1411.5654) Main Points: A bi-directional mapping m…