300篇 CVPR 2019 Oral 论文精选汇总,值得一看的 CV 论文都在这里

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杉数科技高阳:收益管理在零售行业的痛难点问题及解决方法| AI 研习社 132期大讲堂总结

来自杉数科技的高阳结合实际业务约束和目标,借助具体案例剖析“价格战”背后的收益管理问题,为观众揭开在瞬息万变的环境中,实现销售和利润双增长的真相

CVPR 2019 即将在美国长滩召开。今年有超过 5165 篇的大会论文投稿,最终录取 1299 篇,其中 Oral 论文近 300 篇为了方便社区开发者和学术青年查找和阅读高价值论文,AI 研习社从入选的 Oral 论文中,按应用方向挑选了部分精华论文,贴在本文。

本篇论文精华帖社长将会持续更新,同时欢迎大家加入CVPR 顶会交流小组,我们将每天不间断向你推荐高价值论文。

同时社长希望大家能够向 AI 研习社推荐自己的论文,自荐论文的用户有机会获得 AI 研习社赠送的大礼一份!

CVPR 2019 Oral 论文精选PDF下载地址:

https://ai.yanxishe.com/page/resourceDetail/819

CVPR 2019 全部论文PDF合集下载地址:

https://ai.yanxishe.com/page/resourceDetail/845

以下是论文具体地址:

百度

论文下载地址:

https://ai.yanxishe.com/page/resourceDetail/798

1.A Mutual Learning Method for Salient Object Detection with intertwined Multi-Supervision

作者:Runmin Wu, Mengyang Feng, Wenlong Guan, Dong Wang, Huchuan Lu, Errui Ding

论文链接:https://pan.baidu.com/s/1EUxabfnEi_l5-ghUI3_qVQ

2.ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

作者:Xibin Song, Peng Wang, Dingfu Zhou, Rui Zhu, Chenye Guan, Yuchao Dai, Hao Su, Hongdong Li, Ruigang Yang

论文链接:https://arxiv.org/abs/1811.12222

3.Attentive Feedback Network for Boundary-aware Salient Object Detection

作者:Mengyang Feng, Huchuan Lu, Errui Ding

论文链接:https://github.com/ArcherFMY/AFNet

4.Contrastive Adaptation Network for Unsupervised Domain Adaptation

作者:Guoliang Kang, Lu Jiang, Yi Yang, Alexander G Hauptmann

论文链接:https://arxiv.org/abs/1901.00976

5.Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation

作者:Hao Zhu, Xinxin Zuo, Sen Wang, Xun Cao, Ruigang Yang

论文链接:https://arxiv.org/abs/1904.10506

6.DM-GAN- Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis

作者:Minfeng Zhu, Pingbo Pan, Wei Chen, Yi Yang

论文链接:https://arxiv.org/abs/1904.01310

7.Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration

作者:Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, Yi Yang

论文链接:https://arxiv.org/abs/1811.00250

8.GA-Net- Guided Aggregation Net for End-to-end Stereo Matching

作者:Feihu Zhang, Victor Prisacariu, Ruigang Yang, Philip H.S. Torr

论文链接:https://arxiv.org/abs/1904.06587

9.Improving Transferability of Adversarial Examples with Input Diversity

作者:Cihang Xie, Zhishuai Zhang, Yuyin Zhou, Song Bai, Jianyu Wang, Zhou Ren, Alan Yuille

论文链接:https://arxiv.org/abs/1803.06978

10.Invariance Matters- Exemplar Memory for Domain Adaptive Person Re-identification

作者:Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang

论文链接:https://arxiv.org/abs/1904.01990

11.Joint Unsupervised Learning of Optical Flow and Depth by Watching Stereo Videos

作者:Yang Wang, Zhenheng Yang, Peng Wang, Yi Yang, Chenxu Luo, Wei Xu

论文链接:https://arxiv.org/abs/1810.03654

12.L3-Net- Towards Learning based LiDAR Localization for Autonomous Driving

作者:Weixin Lu,Yao Zhou, Guowei Wan,Shenhua Hou,Shiyu Song

论文链接:https://songshiyu01.github.io/pdf/L3Net_W.Lu_Y.Zhou_S.Song_CVPR2019.pdf

13.Look More Than Once- An Accurate Detector for Text of Arbitrary Shapes

作者:Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding

论文链接:https://arxiv.org/abs/1904.06535

14.Searching for A Robust Neural Architecture in Four GPU Hours

作者:Xuanyi Dong, Yi Yang

论文链接:https://xuanyidong.com/publication/cvpr-2019-gradient-based-diff-sampler/

15.Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation

作者:Fengda Zhu, Linchao Zhu, Yi Yang

论文链接:https://arxiv.org/abs/1904.03895

16.STGAN- A Unified Selective Transfer Network for Arbitrary Image Attribute Editing

作者:Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen

论文链接:https://arxiv.org/abs/1904.09709

17.Taking A Closer Look at Domain Shift- Category-level Adversaries for Semantics Consistent Domain Adaptation

作者:Yawei Luo, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang

论文链接:https://arxiv.org/abs/1809.09478

人脸检测

论文下载地址:

https://ai.yanxishe.com/page/resourceDetail/796

1.Deep Tree Learning for Zero-shot Face Anti-Spoofing

作者:Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Xiaoming Liu

论文链接:https://arxiv.org/abs/1904.02860

2.ArcFace: Additive Angular Margin Loss for Deep Face Recognition

作者:Jiankang Deng, Jia Guo, Niannan Xue, Stefanos Zafeiriou

论文链接:https://arxiv.org/abs/1801.07698

3.APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs

作者:Ran Yi, Yong-Jin Liu

论文链接:https://cg.cs.tsinghua.edu.cn/papers/CVPR-2019-Drawing.pdf

4.High-Quality Face Capture Using Anatomical Muscles

作者:Michael Bao, Matthew Cong, Stéphane Grabli, Ronald Fedkiw

论文链接:https://arxiv.org/abs/1812.02836

5.AdaScale: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations

作者:Xiao Zhang, Rui Zhao, Yu Qiao, Xiaogang Wang, Hongsheng Li

论文链接:https://arxiv.org/abs/1905.00292

6.Combining 3D Morphable Models: A Largescale Face-and-Head Model

作者:Stylianos Ploumpis, Haoyang Wang, Nick Pears, William A. P. Smith, Stefanos Zafeiriou

论文链接:https://arxiv.org/abs/1903.03785

目标检测

论文下载地址:

https://ai.yanxishe.com/page/resourceDetail/815

1.C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection

作者:Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye

论文链接:https://arxiv.org/abs/1904.05647

2.Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects

作者:Yusuke Niitani, Takuya Akiba, Tommi Kerola, Toru Ogawa, Shotaro Sano, Shuji Suzuki

论文链接:https://arxiv.org/abs/1811.10862

3.Shifting More Attention to Video Salient Object Detection

作者:Deng-Ping Fan, Wenguan Wang, Ming-Ming Cheng, Jianbing Shen

论文链接:https://mmcheng.net/zh/davsod/

运动和跟踪

1.Deeper and Wider Siamese Networks for Real-Time Visual Tracking

作者:Zhipeng Zhang, Houwen Peng

论文链接:https://arxiv.org/abs/1901.01660

2.Efficient Online Multi-Person 2D Pose Tracking with Recurrent Spatio-Temporal Affinity Fields

作者:Yaadhav Raaj, Haroon Idrees, Gines Hidalgo, Yaser Sheikh

论文链接:https://arxiv.org/abs/1811.11975

3.Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking

作者:Andrii Maksai, Pascal Fua

论文链接:https://arxiv.org/abs/1811.10984

4.Graph Convolutional Tracking

作者:Junyu Gao,Tianzhu Zhang,Changsheng Xu

论文链接:http://nlpr-web.ia.ac.cn/mmc/homepage/jygao/gct_cvpr2019.html

5.ATOM: Accurate Tracking by Overlap Maximization

作者:Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg

论文链接:https://arxiv.org/abs/1811.07628

6.Visual Tracking via Adaptive Spatially-Regularized Correlation Filters

作者:Cheng Qian ,Guiping Zhou ,Chunguang Li ,Yuming Xu

论文链接:https://ieeexplore.ieee.org/document/8118454

姿态检测

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

作者:Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Xiaogang Wang, Liang Lin

论文链接:https://arxiv.org/abs/1903.08839

大讲堂 | 杉数科技——时序预测中深度学习介绍

在本次公开课中,讲者将结合实际在杉数科技的实际项目经验,为大家解析深度学习的技术细节以及实际效果

2.In the Wild Human Pose Estimation using Explicit 2D Features and Intermediate 3D Representations

作者:Ikhsanul Habibie, Weipeng Xu, Dushyant Mehta, Gerard Pons-Moll, Christian Theobalt

论文链接:https://arxiv.org/abs/1904.03289

3.CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark

作者:Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Hao-Shu Fang, Cewu Lu

论文链接:https://arxiv.org/abs/1812.00324

手势识别

1.H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions

作者:Bugra Tekin, Federica Bogo, Marc Pollefeys

论文链接:https://arxiv.org/abs/1904.05349

2.3D Hand Shape and Pose Estimation from a Single RGB Image

作者:Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan

论文链接:https://arxiv.org/abs/1903.00812

3.3D hand shape and pose from images in the wild

作者:Adnane Boukhayma, Rodrigo de Bem, Philip H.S. Torr

论文链接:https://arxiv.org/abs/1902.03451

4.Monocular Total Capture: Posing Face, Body, and Hands in the Wild

作者:Donglai Xiang, Hanbyul Joo, Yaser Sheikh

论文链接:https://arxiv.org/abs/1812.01598

5.Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

作者:Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, Michael J. Black

论文链接:https://arxiv.org/abs/1904.05866

GAN

1.Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping

作者:Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao

论文链接:https://arxiv.org/abs/1809.05852

2.Label-Noise Robust Generative Adversarial Networks

作者:Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada

论文链接:https://arxiv.org/abs/1811.11165

3.Sphere Generative Adversarial Network Based on Geometric Moment Matching

作者:Sung Woo Park , Junseok Kwon

论文链接:http://cau.ac.kr/~jskwon/paper/SphereGAN_CVPR2019.pdf

4.A Style-Based Generator Architecture for Generative Adversarial Networks

作者:Tero Karras, Samuli Laine, Timo Aila

论文链接:https://arxiv.org/abs/1812.04948

5.Constrained Generative Adversarial Networks for Interactive Image Generation

作者:Eric Heim

论文链接:https://arxiv.org/abs/1904.02526

文本

1.Composing Text and Image for Image Retrieval – An Empirical Odyssey

作者:Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays

论文链接:https://arxiv.org/abs/1812.07119

2.Semantics Disentangling for Text-to-Image Generation

作者:Guojun Yin, Bin Liu, Lu Sheng, Nenghai Yu, Xiaogang Wang, Jing Shao

论文链接:https://arxiv.org/abs/1904.01480

3.Text2Scene: Generating Compositional Scenes from Textual Descriptions

作者:Fuwen Tan, Song Feng, Vicente Ordonez

论文链接:https://arxiv.org/abs/1809.01110

视频分析

1.MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation

作者:Shuangjie Xu, Daizong Liu, Linchao Bao, Wei Liu, Pan Zhou

链接:https://arxiv.org/abs/1904.08141

2.5D Visual Sound

作者:Ruohan Gao、Kristen Grauman

链接:http://vision.cs.utexas.edu/projects/2.5D_visual_sound/

3.Efficient Video Classification Using Fewer Frames

作者:Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra

链接:https://arxiv.org/abs/1902.10640

计算摄影学

1.From One Photon to a Billion: High Flux Imaging with Single-Photon Sensors

作者:Atul Ingle, Andreas Velten, Mohit Gupta

链接:https://arxiv.org/abs/1902.10190

2.Photon-Flooded Single-Photon 3D Cameras

作者:Anant Gupta, Atul Ingle, Andreas Velten, Mohit Gupta

链接:https://arxiv.org/abs/1903.08347

3.Acoustic Non-Line-of-Sight Imaging

作者:David B. Lindell, Gordon Wetzstein, Vladlen Koltun

链接:http://www.computationalimaging.org/publications/acoustic-non-line-of-sight-imaging/

4.Steady-state Non-Line-of-Sight Imaging

作者:Wenzheng Chen, Simon Daneau, Fahim Mannan, Felix Heide

链接:https://arxiv.org/abs/1811.09910

5.End-to-end Projector Photometric Compensation

作者:Bingyao Huang, Haibin Ling

链接:https://arxiv.org/abs/1904.04335

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

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

链接:https://arxiv.org/abs/1811.10180

机器人 + 驾驶

1.Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration

作者:De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles

链接:https://arxiv.org/abs/1807.03480

2.Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry

作者:Fei Xue, Xin Wang, Shunkai Li, Qiuyuan Wang, Junqiu Wang, Hongbin Zha

链接:https://arxiv.org/abs/1904.01892

3.Multimodal Explanations by Predicting Counterfactuality in Videos

作者:Atsushi Kanehira, Kentaro Takemoto, Sho Inayoshi, Tatsuya Harada

链接:https://arxiv.org/abs/1812.01263

4.HAQ: Hardware-Aware Automated Quantization

作者:Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han

链接:https://arxiv.org/abs/1811.08886

5.Learning to Explain with Complemental Examples

作者:Atsushi Kanehira, Tatsuya Harada

链接:https://arxiv.org/abs/1812.01280

医疗、生物和细胞显微图

1.Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology

作者:Ke Yan (National Institutes of Health)*; Yifan Peng (NIH); Veit Sanfort (NIH); Mohammadhadi Bagheri (National Institutes of Health); Zhiyong Lu (NLM/NCBI/NIH); Ronald Summers (National Institutes of Health, Bethesda, Maryland, United States)

链接:https://arxiv.org/abs/1904.04661

2.Data augmentation using learned transforms for one-shot medical image segmentation

作者:Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca

链接:https://arxiv.org/abs/1902.09383v1

低级视觉

1.Neural RGB -> D Sensing: Depth and Uncertainty from a Video Camera

作者:Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa Narasimhan, Jan Kautz

链接:https://arxiv.org/abs/1901.02571

2.DAVANet: Stereo Deblurring with View Aggregation

作者:Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy Ren

链接:https://arxiv.org/abs/1904.05065

3.DVC: An End-to-end Deep Video Compression Framework

作者:Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, Zhiyong Gao

链接:https://arxiv.org/abs/1812.00101

4.SOSNet: Second Order Similarity Regularization for Local Descriptor Learning

作者:Yurun Tian, Xin Yu, Bin Fan, Fuchao Wu, Huub Heijnen, Vassileios Balntas

链接:https://arxiv.org/abs/1904.05019

5.“Double-DIP”: Unsupervised Image Decomposition via Coupled Deep-Image-Priors

作者:Yossi Gandelsman, Assaf Shocher, Michal Irani

链接:https://arxiv.org/abs/1812.00467

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CVPR 2019 | 腾讯AI Lab解读六大前沿方向及33篇入选论文

本文将分组介绍计算机视觉顶级会议 CVPR 中腾讯 AI Lab 的重点研究方向和入选论文

正文完
 
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