CVPR 2016-12-30

[1] arXiv:1612.09161 [pdf, other]
Learning Visual N-Grams from Web Data
从Web数据可视化实例学习
Ang Li, Allan Jabri, Armand Joulin, Laurens van der Maaten
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[2] arXiv:1612.09134 [pdf, other]
From Virtual to Real World Visual Perception using Domain Adaptation – The DPM as Example
从虚拟到现实世界的视觉感知领域适应–使用DPM为例
Antonio M. Lopez, Jiaolong Xu, Jose L. Gomez, David Vazquez, German Ros
Comments: Invited book chapter to appear in “Domain Adaptation in Computer Vision Applications”, Springer Series: Advances in Computer Vision and Pattern Recognition, Edited by Gabriela Csurka
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI)

[3] arXiv:1612.08936 [pdf, other]
Partial Membership Latent Dirichlet Allocation
部分会员的潜在Dirichlet 分配
Chao Chen, Alina Zare, Huy Trinh, Gbeng Omotara, J. Tory Cobb, Timotius Lagaunne
Comments: Version 1, Sent for Review. arXiv admin note: substantial text overlap with arXiv:1511.02821
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[4] arXiv:1612.08927 [pdf, other]
Fast color transfer from multiple images
多幅图像的快速颜色转换
Asad Khan, Luo Jiang, Wei Li, Ligang Liu
Comments: arXiv admin note: text overlap with arXiv:1610.04861
Subjects: Computer Vision and Pattern Recognition (cs.CV); Graphics (cs.GR)

[5] arXiv:1612.08894 [pdf, other]
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
在对抗网络脑病变分割无监督自适应
Konstantinos Kamnitsas, Christian Baumgartner, Christian Ledig, Virginia F.J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[6] arXiv:1612.08879 [pdf, other]
Deep Unsupervised Representation Learning for Remote Sensing Images
遥感图像深度无监督表示学习
DaoYu Lin
Comments: arXiv admin note: text overlap with arXiv:1511.06434, arXiv:1606.03498, arXiv:1406.2661, arXiv:1508.00092 by other authors
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[7] arXiv:1612.08871 [pdf, other]
Semantic Video Segmentation by Gated Recurrent Flow Propagation
基于门控递归流传播的语义视频分割
David Nilsson, Cristian Sminchisescu
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[8] arXiv:1612.08843 [pdf, other]
FastMask: Segment Object Multi-scale Candidates in One Shot
FastMask：在一个镜头中多尺度的段对象候选人
Hexiang Hu, Shiyi Lan, Yuning Jiang, Zhimin Cao, Fei Sha
Comments: Our implementation is available on this https URL
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI)

[9] arXiv:1612.08825 [pdf, other]
Accelerated Convolutions for Efficient Multi-Scale Time to Contact Computation in Julia
朱丽亚的加速盘旋高效多尺度的时间的接触计算
Alexander Amini, Berthold Horn, Alan Edelman
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Performance (cs.PF)

[10] arXiv:1612.08820 [pdf, other]
Multivariate mixture model for myocardium segmentation combining multi-source images
多源图像分割的多元混合模型
Xiahai Zhuang
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[11] arXiv:1612.08796 [pdf]
Symbolic Representation and Classification of Logos
标志的符号表示与分类
D. S. Guru, N. Vinay Kumar
Comments: 15 pages, 6 figures, 6 tables, Proceedings of International Conference on Computer Vision and Image Processing (CVIP 2016). arXiv admin note: text overlap with arXiv:1609.01414
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[12] arXiv:1612.08792 [pdf, other]
A novel Gaussian mixture model for superpixel segmentation
一种新型的超像素分割高斯混合模型
Zhihua Ban, Jianguo Liu, Li Cao
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[13] arXiv:1612.08780 [pdf]
An FFT-based Synchronization Approach to Recognize Human Behaviors using STN-LFP Signal
基于同步方法来识别人的行为的一个FFT STN-LFP信号
Hosein M. Golshan, Adam O. Hebb, Sara J. Hanrahan, Joshua Nedrud, Mohammad H. Mahoor
Comments: IEEE Conf on ICASSP 2017
Subjects: Computer Vision and Pattern Recognition (cs.CV); Neurons and Cognition (q-bio.NC)

[14] arXiv:1612.09199 (cross-list from stat.ML) [pdf, other]
Quantum Clustering and Gaussian Mixtures
量子聚类和高斯混合
Mahajabin Rahman, Davi Geiger
Comments: 16 pages, 13 figures
Subjects: Machine Learning (stat.ML); Computer Vision and Pattern Recognition (cs.CV)

[15] arXiv:1612.09030 (cross-list from cs.LG) [pdf, other]
Meta-Unsupervised-Learning: A supervised approach to unsupervised learning
元无监督学习：无监督学习的监督方法
Vikas K. Garg, Adam Tauman Kalai
Comments: 22 pages
Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)