今日CS.CV计算机视觉论文速览
Thu, 7 Feb 2019
Totally 16 papers
Interesting:
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Disguised-Nets, 模型精度和数据隐私一直是深度学习训练中需要考量的重要内容，需要保护数据中的个人隐私和对抗攻击。研究人员利用了基于图像片元的扰动和变换实现了图像伪装技术，在保证训练数据安全的同时保持了模型的训练精度。(from 怀特州立大学)
基于单元移动的数据隐私（但依然容易恢复）：
基于随机高维变换（具有视觉上的隐私保护）：
保证视觉隐私：
防止模型被误用，伪装图像训练的模型在非伪装图图像上精度低：
更多的例子：
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基于生成对抗进行数据增强，将图片生成和数据增强任务转化为图像片的迁移任务。并对肱骨、股骨和胫骨进行了数据增强（from 纽约大学）
一些生成的结果：
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CLEAR.多主体数据融合算法。基于图聚类的方法 CLEAR为多机器人系统提供了信息融合的有效手段。Robotics（from MIT）
几种信息融合方法的图表示比较：
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MaskMVS,基于掩膜的多平面表示用于多视角深度估计，解决了非结构化情况下的多视角图像位姿（from 芬兰阿尔托大学）
具体实现分为两个阶段，mask生成和视差图生成：
多视角深度估计
dataset and 相关方法:
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基于生成对抗的医学图像超分辨，（from IBM 洛桑理工）
流程图：
视网膜眼底照片数据
http://www.eyepacs.com/data-analysis
Daily Computer Vision Papers
[1] Title: Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images
Authors:Dongming Wei, Zhengwang Wu, Gang Li, Xiaohuan Cao, Dinggang Shen, Qian Wang
[2] Title: Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations
Authors:Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze
[3] Title: Unstructured Multi-View Depth Estimation Using Mask-Based Multiplane Representation
Authors:Yuxin Hou, Arno Solin, Juho Kannala
[4] Title: Progressive Generative Adversarial Networks for Medical Image Super resolution
Authors:Dwarikanath Mahapatra, Behzad Bozorgtabar
[5] Title: GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping
Authors:Punarjay Chakravarty, Praveen Narayanan, Tom Roussel
[6] Title: Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples
Authors:Derui Wang, Chaoran Li, Sheng Wen, Surya Nepal, Yang Xiang
[7] Title: Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks
Authors:Yueru Chen, Yijing Yang, Min Zhang, C.-C. Jay Kuo
[8] Title: CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multi-Agent Data Association
Authors:Kaveh Fathian, Kasra Khosoussi, Parker Lusk, Yulun Tian, Jonathan P. How
[9] Title: Generative Image Translation for Data Augmentation of Bone Lesion Pathology
Authors:Anant Gupta, Srivas Venkatesh, Sumit Chopra, Christian Ledig
[10] Title: BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
Authors:Lars Maaløe, Marco Fraccaro, Valentin Liévin, Ole Winther
[11] Title: Content-based image retrieval system with most relevant features among wavelet and color features
Authors:Abdolreza Rashno, Elyas Rashno
[12] Title: Fooling Neural Network Interpretations via Adversarial Model Manipulation
Authors:Juyeon Heo, Sunghwan Joo, Taesup Moon
[13] Title: Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling
Authors:Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi
[14] Title: Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks
Authors:Arjun D. Desai, Garry E. Gold, Brian A. Hargreaves, Akshay S. Chaudhari
[15] Title: Disguised-Nets: Image Disguising for Privacy-preserving Deep Learning
Authors:Sagar Sharma, Keke Chen
[16] Title: Detection of perfusion ROI as a quality control in perfusion analysis
Authors:Svitlana Alkhimova
