來源：1300篇！CVPR2019接收結果公布，你中了嗎？（附部分論文鏈接）

CVPR2019論文下載及實時更新GitHub地址，歡迎關注:

extreme-assistant/cvpr2019?

github.com

CVPR2019接收論文id查看鏈接:

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

cvpr2019.thecvf.com

今天，計算機視覺三大頂會之一CVPR2019（將於2019.6.16-6.19在美國洛杉磯舉辦）接收結果已經公布，一共有1300篇論文被接收，接收率為25.2%，目前組委會公布了接收的全部論文ID, 小編也看到了朋友圈的曬被接收圖，如 @朱政 博士團隊中的CVPR2019全景分割論文Attention-guided Unified Network for Panoptic Segmentation,還有復盤筆記（可以學習學習~）

CVPR2019復盤備忘錄

雖然我們目前還只能看到官方公布的接收論文ID，具體的接收論文還不清楚，不過經過小編的努力，我們收集了一批論文（因為無官方通知，如有錯誤，歡迎指出），列表如下，大家可以先去閱讀一番了。

1、Attention-guided Unified Network for Panoptic Segmentation

論文鏈接：https://arxiv.org/abs/1812.03904

2、Deep High-Resolution Representation Learning for Human Pose Estimation

論文鏈接：https://128.84.21.199/abs/1902.09212

3、MUREL: Multimodal Relational Reasoning for Visual Question Answering

論文鏈接：https://128.84.21.199/abs/1902.09487

4、End-to-End Multi-Task Learning with Attention

論文鏈接：https://arxiv.org/abs/1803.10704

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

論文鏈接：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

論文鏈接：https://arxiv.org/abs/1811.08230

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

論文鏈接：https://128.84.21.199/abs/1902.09513

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

論文鏈接：https://128.84.21.199/abs/1902.09130

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

論文鏈接：https://arxiv.org/abs/1807.03480

10、DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

論文鏈接：https://arxiv.org/abs/1901.04780

11、A Neurobiological Evaluation Metric for Neural Network Model Search

論文鏈接：https://arxiv.org/pdf/1805.10726.pdf

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

論文鏈接：https://arxiv.org/abs/1811.06879

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

鏈接：https://arxiv.org/abs/1812.06145

14、Variational Bayesian Dropout

論文鏈接：https://arxiv.org/abs/1811.07533

15、LiFF: Light Field Features in Scale and Depth

論文鏈接：https://arxiv.org/abs/1901.03916

16、Classification-Reconstruction Learning for Open-Set Recognition

論文鏈接：https://arxiv.org/abs/1812.04246

17、Weakly Supervised Deep Image Hashing through Tag Embeddings

論文鏈接：https://arxiv.org/abs/1806.05804

18、InverseRenderNet: Learning single image inverse rendering

論文鏈接：https://arxiv.org/abs/1811.12328

19、Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation

論文鏈接：https://arxiv.org/abs/1811.10092

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

論文鏈接：https://arxiv.org/abs/1902.05978

更多論文已實時更新在GitHub地址： extreme-assistant/cvpr2019，歡迎大家關注並提交更多CVPR2019論文鏈接鴨~

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