From 7618e329de5f5771d72caa74e750b8f809e120cb Mon Sep 17 00:00:00 2001
From: Gu Wang <wangg12@users.noreply.github.com>
Date: Mon, 24 Oct 2022 10:36:35 +0800
Subject: [PATCH] Update README.md
---
README.md | 17 ++++++++++++++---
1 file changed, 14 insertions(+), 3 deletions(-)
diff --git a/README.md b/README.md
index 62ea653..e44cf71 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
# GDRNPP for BOP2022
-This repo provides code and models for GDRNPP_BOP2022.
+This repo provides code and models for GDRNPP_BOP2022, **winner (most of the awards) of the BOP Challenge 2022 at ECCV'22 [[slides](http://cmp.felk.cvut.cz/sixd/workshop_2022/slides/bop_challenge_2022_results.pdf)]**.
## Path Setting
@@ -85,14 +85,25 @@ For iterative refinement, please checkout to the [pose_refine branch](https://gi
## Citing GDRNPP
-If you use GDRNPP in your research, please use the following BibTeX entry.
+If you use GDRNPP in your research, please use the following BibTeX entries.
```BibTeX
@misc{liu2022gdrnpp_bop,
- author = {Xingyu Liu and Ruida Zhang and Chenyangguang Zhang and Bowen Fu and Jiwen Tang and Xiquan Liang and Jingyi Tang and Xiaotian Cheng and Yukang Zhang and Gu Wang and Xiangyang Ji},
+ author = {Xingyu Liu and Ruida Zhang and Chenyangguang Zhang and
+ Bowen Fu and Jiwen Tang and Xiquan Liang and Jingyi Tang and
+ Xiaotian Cheng and Yukang Zhang and Gu Wang and Xiangyang Ji},
title = {GDRNPP},
howpublished = {\url{https://github.com/shanice-l/gdrnpp_bop2022}},
year = {2022}
}
+
+@InProceedings{Wang_2021_GDRN,
+ title = {{GDR-Net}: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation},
+ author = {Wang, Gu and Manhardt, Fabian and Tombari, Federico and Ji, Xiangyang},
+ booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+ month = {June},
+ year = {2021},
+ pages = {16611-16621}
+}
```
--
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