CVPR 2016-9-29

[1] arXiv:1609.09058 [pdf, other]
A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image
从单一图像上二维地标恢复三维形状的一个简单、快速和高精度的算法
Ruiqi Zhao, Yan Wang, Aleix Martinez
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[2] arXiv:1609.09018 [pdf, other]
Deep Architectures for Face Attributes
人脸属性深层结构
Tobi Baumgartner, Jack Culpepper
Comments: 11 pages, 2 figures, accepted in “Workshop on Facial Informatics in conjunction with ACCV ‘16”
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[3] arXiv:1609.08965 [pdf, other]
Graph Based Convolutional Neural Network
基于图的卷积神经网络
Michael Edwards, Xianghua Xie
Comments: 11 pages, accepted into BMVC 2016
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[4] arXiv:1609.08938 [pdf, other]
A Discriminative Framework for Anomaly Detection in Large Videos
大型视频中异常检测的一种判别式框架
Allison Del Giorno, J. Andrew Bagnell, Martial Hebert
Comments: 14 pages without references, 16 pages with. 7 figures. Accepted to ECCV 2016
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[5] arXiv:1609.08864 [pdf]
Towards the effectiveness of Deep Convolutional Neural Network based Fast Random Forest Classifier
基于快速随机森林分类器的深度卷积神经网络的有效性
Mrutyunjaya Panda (Reader, P.G.Department of Computer Science and Applications, Utkal University), Vani Vihar (Bhubaneswar, India)
Comments: 11 pages, 9 figures, 1 table
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[6] arXiv:1609.08764 [pdf, ps, other]
Understanding data augmentation for classification: when to warp?
理解分类时的数据增强：何时翘曲？
Sebastien C. Wong, Adam Gatt, Victor Stamatescu, Mark D. McDonnell
Comments: 6 pages, 6 figures, DICTA 2016 conference
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[7] arXiv:1609.08758 [pdf, other]
Video Summarization using Deep Semantic Features
使用深层语义特征的视频摘要
Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya
Comments: 16 pages, the 13th Asian Conference on Computer Vision (ACCV’16)
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[8] arXiv:1609.08740 [pdf, other]
Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization
使用非对称矩阵分解的可扩展离散监督Hash学习
Shifeng Zhang, Jianmin Li, Jinma Guo, Bo Zhang
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[9] arXiv:1609.08677 [pdf, other]
A Fast Factorization-based Approach to Robust PCA
一种基于快速分解的鲁棒主成分分析方法
Chong Peng, Zhao Kang, Qiang Chen
Comments: ICDM 2016
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[10] arXiv:1609.08675 [pdf, other]
YouTube-8M: A Large-Scale Video Classification Benchmark
youtube-8m：大规模视频分类基准
Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Paul Natsev, George Toderici, Balakrishnan Varadarajan, Sudheendra Vijayanarasimhan
Comments: 10 pages
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[11] arXiv:1609.08669 [pdf, other]
A Transportation Lp Distance for Signal Analysis
信号分析的一种运输LP距离
Matthew Thorpe, Serim Park, Soheil Kolouri, Gustavo K. Rohde, Dejan Slepčev
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[12] arXiv:1609.08661 [pdf, other]
Task Specific Adversarial Cost Function
特定任务对抗性的代价函数
Antonia Creswell, Anil A. Bharath
Comments: Submitted to TPAMI
Subjects: Computer Vision and Pattern Recognition (cs.CV)

[13] arXiv:1609.09025 (cross-list from cs.RO) [pdf, other]
Learning to Push by Grasping: Using multiple tasks for effective learning
抓取学习Push：利用多任务进行有效学习
Lerrel Pinto, Abhinav Gupta
Comments: Under review at the International Conference on Robotics and Automation (ICRA) 2017
Subjects: Robotics (cs.RO); Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG)

[14] arXiv:1609.08685 (cross-list from cs.GR) [pdf, other]
Understanding and Exploiting Object Interaction Landscapes
理解和利用对象交互景观
Sören Pirk, Vojtech Krs, Kaimo Hu, Suren Deepak Rajasekaran, Hao Kang, Bedrich Benes, Yusuke Yoshiyasu, Leonidas J. Guibas
Comments: 14 pages, 19 figures
Subjects: Graphics (cs.GR); Computational Geometry (cs.CG); Computer Vision and Pattern Recognition (cs.CV)

[15] arXiv:1606.07356 (cross-list from cs.CL) [pdf, other]
Analyzing the Behavior of Visual Question Answering Models
视觉问答模型的行为分析
Aishwarya Agrawal, Dhruv Batra, Devi Parikh
Comments: 13 pages, 20 figures; To appear in EMNLP 2016
Subjects: Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG)