CVPR 2016-12-09

[1] arXiv:1612.02808 [pdf, other]

3D Shape Segmentation with Projective Convolutional Networks

投影卷积网络的三维形状分割

Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji, Siddhartha Chaudhuri

Comments: 11 pages

Subjects: Computer Vision and Pattern Recognition (cs.CV); Graphics (cs.GR)

[2] arXiv:1612.02766 [pdf, other]

Feedback Neural Network for Weakly Supervised Geo-Semantic Segmentation

弱监督地理语义分割的反馈神经网络

Xianming Liu, Amy Zhang, Tobias Tiecke, Andreas Gros, Thomas S. Huang

Comments: 9 pages, 4 figures

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[3] arXiv:1612.02761 [pdf, other]

A Maximum A Posteriori Estimation Framework for Robust High Dynamic Range Video Synthesis

稳健高动态范围视频合成的最大后验估计框架

Yuelong Li, Chul Lee, Vishal Monga

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[4] arXiv:1612.02742 [pdf, other]

Joint Hand Detection and Rotation Estimation by Using CNN

使用CNN的联合手检测和旋转估计

Xiaoming Deng, Ye Yuan, Yinda Zhang, Ping Tan, Liang Chang, Shuo Yang, Hongan Wang

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[5] arXiv:1612.02709 [pdf, other]

Predicting Ground-Level Scene Layout from Aerial Imagery

航空影像对地面场景布局的预测

Menghua Zhai, Zachary Bessinger, Scott Workman, Nathan Jacobs

Comments: 13 pages including appendix

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[6] arXiv:1612.02699 [pdf, other]

Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing

基于形状概念的遮挡感知三维对象解析深层监督

Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker

Comments: In review

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[7] arXiv:1612.02675 [pdf, ps, other]

Domain knowledge assisted cyst segmentation in OCT retinal images

OCT视网膜图像领域知识辅助的囊肿分割

Karthik Gopinath, Jayanthi Sivaswamy

Comments: The paper was accepted as an oral presentation in MICCAI-2015 OPTIMA Cyst Segmentation Challenge

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[8] arXiv:1612.02649 [pdf, other]

FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation

在野外的FCNs ：像素级对抗性和基于约束的适应

Judy Hoffman, Dequan Wang, Fisher Yu, Trevor Darrell

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[9] arXiv:1612.02646 [pdf, other]

Learning Video Object Segmentation from Static Images

静态图像学习视频对象分割

Anna Khoreva, Federico Perazzi, Rodrigo Benenson, Bernt Schiele, Alexander Sorkine-Hornung

Comments: Submitted to CVPR 2017

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[10] arXiv:1612.02631 [pdf, other]

Progressive Tree-like Curvilinear Structure Reconstruction with Structured Ranking Learning and Graph Algorithm

结构化排序学习与图算法的递进树形曲线结构重构

Seong-Gyun Jeong, Yuliya Tarabalka, Nicolas Nisse, Josiane Zerubia

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[11] arXiv:1612.02590 [pdf, other]

Scene Flow Estimation: A Survey

场景流估计：调查

Zike Yan, Xuezhi Xiang

Comments: 51 pages, 12 figures, 10 tables, 108 references

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[12] arXiv:1612.02589 [pdf, other]

Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis

卷积神经网络的多源迁移学习在肺模式分析中的应用

Stergios Christodoulidis, Marios Anthimopoulos, Lukas Ebner, Andreas Christe, Stavroula Mougiakakou

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[13] arXiv:1612.02583 [pdf, other]

From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur

从运动模糊到运动流：消除非均匀运动模糊的深度学习解决方案

Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[14] arXiv:1612.02575 [pdf, other]

Filter sharing: Efficient learning of parameters for volumetric convolutions

分享：过滤器体积卷积参数的有效学习

Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Hariharan Ravishankar, Vivek Vaidya

Comments: 6 pages, 2 figures. Published in NIPS 2016 workshop on Machine Learning for Health, December 2016, Barcelona

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[15] arXiv:1612.02562 [pdf, other]

Classification of Neurological Gait Disorders Using Multi-task Feature Learning

应用多任务特征学习的神经步态障碍分类

Ioannis Papavasileiou, Wenlong Zhang, Song Han, Xin Wang, Jinbo Bi, Nancy Byl, Masayoshi Tomizuka

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[16] arXiv:1612.02559 [pdf, ps, other]

AGA: Attribute Guided Augmentation

AGA：属性引导强化

Mandar Dixit, Roland Kwitt, Marc Niethammer, Nuno Vasconcelos

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[17] arXiv:1612.02541 [pdf, ps, other]

Query-adaptive Image Retrieval by Deep Weighted Hashing

基于深度加权散列的查询自适应图像检索

Jian Zhang, Yuxin Peng, Junchao Zhang

Comments: 10 pages. arXiv admin note: text overlap with arXiv:1607.08477

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[18] arXiv:1612.02534 [pdf, other]

Contextual Visual Similarity

语境的视觉相似性

Xiaofang Wang, Kris M. Kitani, Martial Hebert

Comments: Submitted to CVPR 2017

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[19] arXiv:1612.02521 [pdf, other]

An Efficient Algorithm for the Piecewise-Smooth Model with Approximately Explicit Solutions

具有近似显式解的分段光滑模型的一种有效算法

Huihui Song, Yuhui Zheng, Kaihua Zhang

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[20] arXiv:1612.02513 [pdf]

Complex Matrix Factorization for Face Recognition

复杂矩阵分解的人脸识别

Viet-Hang Duong, Yuan-Shan Lee, Bach-Tung Pham, Seksan Mathulaprangsan, Pham The Bao, Jia-Ching Wang

Comments: 4 pages,3 figures,4 tables

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[21] arXiv:1612.02498 [pdf, other]

Discrete Schroedinger Transform For Texture Recognition

离散薛定谔变换的纹理识别

João B. Florindo, Odemir M. Bruno

Comments: 15 pages, 7 figures

Subjects: Computer Vision and Pattern Recognition (cs.CV); Data Analysis, Statistics and Probability (physics.data-an)

[22] arXiv:1612.02493 [pdf]

Research on the Multiple Feature Fusion Image Retrieval Algorithm based on Texture Feature and Rough Set Theory

基于纹理特征和粗糙集理论的多特征融合图像检索算法研究

Xiaojie Shi, Yijun Shao

Subjects: Computer Vision and Pattern Recognition (cs.CV)

[23] arXiv:1612.02572 (cross-list from stat.ML) [pdf]

Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker

使用深度学习从原始影像数据结果和可靠的遗传标记的大脑年龄预测

James H Cole, Rudra PK Poudel, Dimosthenis Tsagkrasoulis, Matthan WA Caan, Claire Steves, Tim D Spector, Giovanni Montana

Subjects: Machine Learning (stat.ML); Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG); Neurons and Cognition (q-bio.NC)