原文：1300篇！CVPR2019接收结果公布，你中了吗？（附部分论文链接）
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- CVPR 2019 论文汇总（按方向划分，更新中）
http://bbs.cvmart.net/topics/302/cvpr2019paper
- CVPR2019 论文解读汇总
http://bbs.cvmart.net/topics/287/cvpr2019
- CVPR2019全部论文下载帖
http://bbs.cvmart.net/topics/439
- CVPR2019论文下载及实时更新GitHub地址，欢迎关注:
https://github.com/extreme-assistant/cvpr2019
- CVPR2019 全部论文下载链接：
http://openaccess.thecvf.com/CVPR2019.py
今天，计算机视觉三大顶会之一CVPR2019（将于2019.6.16-6.19在美国洛杉矶举办）接收结果已经公布，一共有1300篇论文被接收，接收率为25.2%，目前组委会公布了接收的全部论文ID, 小编也看到了朋友圈的晒被接收图，如朱政团队中的CVPR2019全景分割论文Attention-guided Unified Network for Panoptic Segmentation,还有复盘笔记（可以学习学习~）
朱政CVPR2019复盘备忘录
虽然我们目前还只能看到官方公布的接收论文ID，具体的接收论文还不清楚，不过经过小编的努力，我们收集了一批论文（因为无官方通知，如有错误，欢迎指出），列表如下，大家可以先去阅读一番了。
1、Attention-guided Unified Network for Panoptic Segmentation
论文链接：https://arxiv.org/abs/1812.03904
2、Deep High-Resolution Representation Learning for Human Pose Estimation
论文链接：https://128.84.21.199/abs/1902.09212
3、MUREL: Multimodal Relational Reasoning for Visual Question Answering
论文链接：https://128.84.21.199/abs/1902.09487
4、End-to-End Multi-Task Learning with Attention
论文链接：https://arxiv.org/abs/1803.10704
5、SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360 degree Images
论文链接：https://arxiv.org/abs/1811.08196
6、Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks
论文链接：https://arxiv.org/abs/1811.08230
7、FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
论文链接：https://128.84.21.199/abs/1902.09513
8、An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
论文链接：https://128.84.21.199/abs/1902.09130
9、Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration
论文链接：https://arxiv.org/abs/1807.03480
10、DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
论文链接：https://arxiv.org/abs/1901.04780
11、A Neurobiological Evaluation Metric for Neural Network Model Search
论文链接：https://arxiv.org/pdf/1805.10726.pdf
12、The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
论文链接：https://arxiv.org/abs/1811.06879
13、Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training
链接：https://arxiv.org/abs/1812.06145
14、Variational Bayesian Dropout
论文链接：https://arxiv.org/abs/1811.07533
15、LiFF: Light Field Features in Scale and Depth
论文链接：https://arxiv.org/abs/1901.03916
16、Classification-Reconstruction Learning for Open-Set Recognition
论文链接：https://arxiv.org/abs/1812.04246
17、Weakly Supervised Deep Image Hashing through Tag Embeddings
论文链接：https://arxiv.org/abs/1806.05804
18、InverseRenderNet: Learning single image inverse rendering
论文链接：https://arxiv.org/abs/1811.12328
19、Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
论文链接：https://arxiv.org/abs/1811.10092
20、GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
论文链接：https://arxiv.org/abs/1902.05978
更多论文已实时更新在GitHub地址： extreme-assistant/cvpr2019，欢迎大家关注并提交更多CVPR2019论文链接鸭~
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