1300篇！CVPR2019接收结果公布，你中了吗？（附部分论文链接）

CVPR2019接收论文id查看链接:

http://cvpr2019.thecvf.com/files/cvpr_2019_final_accept_list.txt

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。

Attention-guided Unified Network for Panoptic Segmentation

论文链接：https://arxiv.org/abs/1812.03904

Deep High-Resolution Representation Learning for Human Pose Estimation

论文链接：https://128.84.21.199/abs/1902.09212

MUREL: Multimodal Relational Reasoning for Visual Question Answering

论文链接：https://128.84.21.199/abs/1902.09487

End-to-End Multi-Task Learning with Attention

论文链接：https://arxiv.org/abs/1803.10704

SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360 degree Images

论文链接：https://arxiv.org/abs/1811.08196

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

FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation

论文链接：https://128.84.21.199/abs/1902.09513

An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition

论文链接：https://128.84.21.199/abs/1902.09130

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

论文链接：https://arxiv.org/abs/1807.03480

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

论文链接：https://arxiv.org/abs/1901.04780

A Neurobiological Evaluation Metric for Neural Network Model Search

论文链接：https://arxiv.org/pdf/1805.10726.pdf

The Perfect Match: 3D Point Cloud Matching with Smoothed Densities

论文链接：https://arxiv.org/abs/1811.06879

Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training

链接：https://arxiv.org/abs/1812.06145

Variational Bayesian Dropout

论文链接：https://arxiv.org/abs/1811.07533

LiFF: Light Field Features in Scale and Depth

论文链接：https://arxiv.org/abs/1901.03916

Classification-Reconstruction Learning for Open-Set Recognition

论文链接：https://arxiv.org/abs/1812.04246

Weakly Supervised Deep Image Hashing through Tag Embeddings

论文链接：https://arxiv.org/abs/1806.05804

InverseRenderNet: Learning single image inverse rendering

论文链接：https://arxiv.org/abs/1811.12328

Reinforced Cross-Modal Matching and Self-Supervised Imitation Learningfor Vision-Language Navigation

论文链接：https://arxiv.org/abs/1811.10092

GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction

论文链接：https://arxiv.org/abs/1902.05978

也欢迎大家在文章留言安利自己的CVPR2019论文供大家阅读，小编会把留言置顶~