【今日CS 视觉论文速览】 25 Jan 2019

今日CS.CV计算机视觉论文速览

Fri, 25 Jan 2019

Totally 29 papers

?? 续：第二部分 ?

Interesting:

• U-nets and GAN补全被遮挡的人，基于被遮挡的输入，通过神经网络的处理和“想象”，生成出没有遮挡、像素级的、并与原来保持相同视觉属性的图像。研究人员基于U-net和GAN以及特殊为去遮挡人体设置的结构进行实现。（from 意大利 摩德纳雷焦艾米莉亚大学）

  

  数据集：

  occluded RAP<—RAP:A Richly Annotated Dataset for Pedestrian Attribute Recognition,

  AiC Attributes in Crowd

• 利用深度面部图生成RGB彩色脸, 通过神经网络重建出来合理的面部图像可以用于多种模式识别问题，生成不同环境（shadows, light variations or darkness）下的人脸数据集。（from 意大利 摩德纳雷焦艾米莉亚大学）

  

  从深度图生成RGB图的过程：

  

  原图和生成图，虽然不一致，但生成的面部图像时合理的有效的。

  

  数据集：MotorMark from paper from AImageLab

  tip：facelandmark 5point dataset

• 点云空间相关性预测，基于神经网络通过原始点云数据预测两个部分点云的空间相关性，并从中学到了点云的语义特征表示。(from HPI 哈索·普拉特纳学院 德国)

  

  模型的架构如下图所示：

  

  相关方法：

  

  数据集:ModelNet

• 基于自注意力机制的无监督图像迁移，其任务在给定非配对数据下学习从一个域到另一个域的转换。但目前方法没强调域间几何和结构的变化。

  自注意力机制(Han Zhang, 2018）：

  

  本文的方法：

  

  数据集：

  cat2dog: This datasets are used in DRIT. (Hsin-Ying Lee,2018) This dataset contains cat(871) and dog(1,364).

  img2dog: This dataset contains faces(CelebA dataset,202,599) and dog(cat2dog dataset, 1,364).

  img2cat: This dataset contains faces(CelebA dataset,202,599) and cat(cat2dog dataset, 871).

  portrait: This datasets are used in DRIT. (Hsin-Ying Lee,2018) This dataset contains portrait(1,814) and face photo(6,452).

  edge2shoes: This dataset are used in MUNIT. (Huang et al., 2018) This dataset contains edges(50,025) and shoes(50,025).

  相关方法：unsupervised image-to-image translation models(CycleGAN (Zhu et al., 2017), DRIT (HsinYing Lee, 2018), UNIT (Liu et al., 2017), MUNIT (Huang et al., 2018)。

• 半监督Img2Img迁移，（from D. J. Sanghvi工程学院印度)

  通过条件概率的方法使得迁移与所有局域、全局和内容特征独立。

  

  code:http://github.com/ozamanan/semisit

  ref:Img2img PAPER collection

Daily Computer Vision Papers

[1] *Title: Learning Disentangled Representations with Reference-Based Variational Autoencoders

Authors:Adria Ruiz, Oriol Martinez, Xavier Binefa, Jakob Verbeek

[2] Title: CT synthesis from MR images for orthopedic applications in the lower arm using a conditional generative adversarial network

Authors:Frank Zijlstra, Koen Willemsen, Mateusz C. Florkow, Ralph J.B. Sakkers, Harrie H. Weinans, Bart C.H. van der Wal, Marijn van Stralen, Peter R. Seevinck

[3] Title: Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation

Authors:Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk

[4] *Title: Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation

Authors:Philipp Seeböck, David Romo-Bucheli, Sebastian Waldstein, Hrvoje Bogunović, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth

[5] *Title: 3D Backbone Network for 3D Object Detection

Authors:Xuesong Li, Jose E Guivant, Ngaiming Kwok, Yongzhi Xu

[6] *Title: Deep Reasoning with Multi-scale Context for Salient Object Detection

Authors:Zun Li, Congyan Lang, Yunpeng Chen, Junhao Liew, Jiashi Feng

[7] Title: Semantic Matching by Weakly Supervised 2D Point Set Registration

Authors:Zakaria Laskar, Hamed R. Tavakoli, Juho Kannala

[8] *Title: Semi-Supervised Semantic Matching

Authors:Zakaria Laskar, Juho Kannala

[9] Title: Whole slide image registration for the study of tumor heterogeneity

Authors:Leslie Solorzano, Gabriela M. Almeida, Bárbara Mesquita, Diana Martins, Carla Oliveira, Carolina Wählby

[10] *Title: Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey

Authors:Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy

[11] *Title: A Novel Self-Intersection Penalty Term for Statistical Body Shape Models and Its Applications in 3D Pose Estimation

Authors:Zaiqiang Wu, Wei Jiang, Hao Luo, Lin Cheng

[12] *Title: Unsupervised Image-to-Image Translation with Self-Attention Networks

Authors:Taewon Kang, Kwang Hee Lee

[13] *Title: Visualizing Topographic Independent Component Analysis with Movies

Authors:Zhimin Chen, Darius Parvin, Maedbh King, Susan Hao

[14] Title: Reciprocal Translation between SAR and Optical Remote Sensing Images with Cascaded-Residual Adversarial Networks

Authors:Shilei Fu, Feng Xu, Ya-Qiu Jin

[15] *Title: Object Detection based on Region Decomposition and Assembly

Authors:Seung-Hwan Bae

[16] *Title: MREAK : Morphological Retina Keypoint Descriptor

Authors:Himanshu Vaghela, Manan Oza, Sudhir Bagul

[17] *Title: Semi-Supervised Image-to-Image Translation

Authors:Manan Oza, Himanshu Vaghela, Sudhir Bagul

[18] Title: Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

Authors:Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng

[19] *Title: A PCB Dataset for Defects Detection and Classification

Authors:Weibo Huang, Peng Wei

[20] Title: Correcting rural building annotations in OpenStreetMap using convolutional neural networks

Authors:John E. Vargas-Muñoz, Sylvain Lobry, Alexandre X. Falcão, Devis Tuia

[21] Title: Siamese Networks with Location Prior for Landmark Tracking in Liver Ultrasound Sequences

Authors:Alvaro Gomariz, Weiye Li, Ece Ozkan, Christine Tanner, Orcun Goksel

[22] *Title: Domain Translation with Conditional GANs: from Depth to RGB Face-to-Face

Authors:Matteo Fabbri, Guido Borghi, Fabio Lanzi, Roberto Vezzani, Simone Calderara, Rita Cucchiara

[23] *Title: Can Adversarial Networks Hallucinate Occluded People With a Plausible Aspect?

Authors:Federico Fulgeri, Matteo Fabbri, Stefano Alletto, Simone Calderara, Rita Cucchiara

[24] Title: Never Forget: Balancing Exploration and Exploitation via Learning Optical Flow

Authors:Hsuan-Kung Yang, Po-Han Chiang, Kuan-Wei Ho, Min-Fong Hong, Chun-Yi Lee

[25] *Title: Spherical sampling methods for the calculation of metamer mismatch volumes

Authors:Michal Mackiewicz, Hans Jakob Rivertz, Graham D. Finlayson

[26] *Title: Context Prediction for Unsupervised Deep Learning on Point Clouds

Authors:Jonathan Sauder, Bjarne Sievers

[27] Title: Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back

Authors:Martin Simonovsky

[28] Title: Trajectory Normalized Gradients for Distributed Optimization

Authors:Jianqiao Wangni, Ke Li, Jianbo Shi, Jitendra Malik

[29] *Title: Hypergraph Convolution and Hypergraph Attention

Authors:Song Bai, Feihu Zhang, Philip H.S. Torr

Papers from arxiv.org

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