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6 | 6 |
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7 | 7 | **Hopenet** is an accurate and easy to use head pose estimation network. Models have been trained on the 300W-LP dataset and have been tested on real data with good qualitative performance. |
8 | 8 |
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9 | | -For details about the method and quantitative results please check the[paper](https://arxiv.org/abs/1710.00925). |
| 9 | +For details about the method and quantitative results please check theCVPR Workshop[paper](https://arxiv.org/abs/1710.00925). |
10 | 10 |
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11 | 11 | <divalign="center"> |
12 | 12 | <imgsrc="conan-cruise.gif" /><br><br> |
@@ -50,20 +50,12 @@ Some very cool implementation of this work on other platforms by some cool peopl |
50 | 50 | If you find Hopenet useful in your research please cite: |
51 | 51 |
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52 | 52 | ``` |
53 | | -@article{DBLP:journals/corr/abs-1710-00925, |
54 | | - author = {Nataniel Ruiz and |
55 | | - Eunji Chong and |
56 | | - James M. Rehg}, |
57 | | - title = {Fine-Grained Head Pose Estimation Without Keypoints}, |
58 | | - journal = {CoRR}, |
59 | | - volume = {abs/1710.00925}, |
60 | | - year = {2017}, |
61 | | - url = {http://arxiv.org/abs/1710.00925}, |
62 | | - archivePrefix = {arXiv}, |
63 | | - eprint = {1710.00925}, |
64 | | - timestamp = {Wed, 01 Nov 2017 19:05:43 +0100}, |
65 | | - biburl = {http://dblp.org/rec/bib/journals/corr/abs-1710-00925}, |
66 | | - bibsource = {dblp computer science bibliography, http://dblp.org} |
| 53 | +@InProceedings{Ruiz_2018_CVPR_Workshops, |
| 54 | +author = {Ruiz, Nataniel and Chong, Eunji and Rehg, James M.}, |
| 55 | +title = {Fine-Grained Head Pose Estimation Without Keypoints}, |
| 56 | +booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, |
| 57 | +month = {June}, |
| 58 | +year = {2018} |
67 | 59 | } |
68 | 60 | ``` |
69 | 61 |
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