CVPR 2019 一周新出论文汇总附下载（含目标检测、GAN、SLAM、语义分割、三维重建等）

CV君汇总了最近一周新出的CVPR 2019 论文，总计32篇大会接收论文在这一周上传到arXiv，含7篇Oral报告论文。涵盖方向包括：目标检测、GAN图像生成、SLAM、三维重建、语义分割、深度网络设计、神经架构搜索等。

大家可于我爱计算机视觉公众号对话界面回复“cvpr323”，即可收到本文所列出的所有论文下载。

对于含开源代码的论文已经将开源网址一并列出。

下面列出的论文索引中，前7篇为Oral论文。

刚刚过去的一周，CV君因为有很重要的事情，没有很多时间具体对新出论文深度解读，CV君粗看了下这些论文，其中很多还是蛮有意思的，后续会有更加深度的分析和解读。欢迎关注～

另外，今天推送的另一篇文章《阿联酋起源人工智能研究院(IIAI)视频分析研究组招聘～薪资极具竞争力！》，欢迎近期寻求全职或者实习职位的朋友看看。

1

Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation

Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Liang Lin

https://arxiv.org/abs/1903.08839

2

Self-calibrating Deep Photometric Stereo Networks

Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong

https://arxiv.org/abs/1903.07366

http://guanyingc.github.io/SDPS-Net/

3

Semantic Image Synthesis with Spatially-Adaptive Normalization

Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu

https://arxiv.org/abs/1903.07291

4

AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs

Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci

https://arxiv.org/abs/1903.07062

5

Unsupervised Part-Based Disentangling of Object Shape and Appearance

Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer

https://arxiv.org/abs/1903.06946

6

Bringing Blurry Alive at High Frame-Rate with an Event Camera

Liyuan Pan, Richard Hartley, Cedric Scheerlinck, Miaomiao Liu, Xin Yu, Yuchao Dai

https://arxiv.org/abs/1903.06531

7

Unsupervised Person Re-identification by Soft Multilabel Learning

Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai

https://arxiv.org/abs/1903.06325

8

Learning with Batch-wise Optimal Transport Loss for 3D Shape Recognition

Lin Xu, Han Sun, Yuai Liu

https://arxiv.org/abs/1903.08923

9

Towards Robust Curve Text Detection with Conditional Spatial Expansion

Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh

https://arxiv.org/abs/1903.08836

10

Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration

Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani

https://arxiv.org/abs/1903.08817

11

Networks for Joint Affine and Non-parametric Image Registration

Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer

https://arxiv.org/abs/1903.08811

12

LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving

Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington

https://arxiv.org/abs/1903.08701

13

Im2Pencil: Controllable Pencil Illustration from Photographs

Yijun Li, Chen Fang, Aaron Hertzmann, Eli Shechtman, Ming-Hsuan Yang

https://arxiv.org/abs/1903.08682

14

Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction

Chen-Hsuan Lin, Oliver Wang, Bryan C. Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey

https://arxiv.org/abs/1903.08642

https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/

15

An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM

Patrick Geneva, James Maley, Guoquan Huang

https://arxiv.org/abs/1903.08636

16

OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations

Pramuditha Perera, Ramesh Nallapati, Bing Xiang

https://arxiv.org/abs/1903.08550

17

In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images

Marin Oršić, Ivan Krešo, Petra Bevandić, Siniša Šegvić

https://arxiv.org/abs/1903.08469

https://github.com/orsic/swiftnet

18

Cross-task weakly supervised learning from instructional videos

Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David Fouhey, Ivan Laptev, Josef Sivic

https://arxiv.org/abs/1903.08225

19

Probabilistic End-to-end Noise Correction for Learning with Noisy Labels

Kun Yi, Jianxin Wu

https://arxiv.org/abs/1903.07788

20

Direct Object Recognition Without Line-of-Sight Using Optical Coherence

Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu

https://arxiv.org/abs/1903.07705

21

Neural Sequential Phrase Grounding (SeqGROUND)

Pelin Dogan, Leonid Sigal, Markus Gross

https://arxiv.org/abs/1903.07669

22

Learning Correspondence from the Cycle-Consistency of Time

Xiaolong Wang, Allan Jabri, Alexei A. Efros

https://arxiv.org/abs/1903.07593

http://ajabri.github.io/timecycle

23

Understanding the Limitations of CNN-based Absolute Camera Pose Regression

Torsten Sattler, Qunjie Zhou, Marc Pollefeys, Laura Leal-Taixe

https://arxiv.org/abs/1903.07504

24

Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li

https://arxiv.org/abs/1903.07256

25

QATM: Quality-Aware Template Matching For Deep Learning

Jiaxin Cheng, Yue Wu, Wael Abd-Almageed, Premkumar Natarajan

https://arxiv.org/abs/1903.07254

26

A Cross-Season Correspondence Dataset for Robust Semantic Segmentation

Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Mark Pollefeys, Fredrik Kahl

https://arxiv.org/abs/1903.06916

27

Domain Generalization by Solving Jigsaw Puzzles

Fabio Maria Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi

https://arxiv.org/abs/1903.06864

28

Selective Kernel Networks

Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang

https://arxiv.org/abs/1903.06586

29

Inserting Videos into Videos

Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang

https://arxiv.org/abs/1903.06571

30

SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations

Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison

https://arxiv.org/abs/1903.06482

31

SimulCap : Single-View Human Performance Capture with Cloth Simulation

Tao Yu, Zerong Zheng, Yuan Zhong, Jianhui Zhao, Qionghai Dai, Gerard Pons-Moll, Yebin Liu

https://arxiv.org/abs/1903.06323

32

MFAS: Multimodal Fusion Architecture Search

Juan-Manuel Pérez-Rúa, Valentin Vielzeuf, Stéphane Pateux, Moez Baccouche, Frédéric Jurie

https://arxiv.org/abs/1903.06496