| CMU-Perceptual-Computing-Lab/openpose |
29,158 |
|
0 |
0 |
about 2 years ago |
0 |
|
295 |
other |
C++ |
| OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation |
| ZheC/Realtime_Multi-Person_Pose_Estimation |
5,033 |
|
0 |
0 |
about 6 years ago |
0 |
|
105 |
other |
Jupyter Notebook |
| Code repo for realtime multi-person pose estimation in CVPR'17 (Oral) |
| wy1iu/sphereface |
1,499 |
|
0 |
0 |
about 4 years ago |
0 |
|
81 |
mit |
Jupyter Notebook |
| Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17. |
| michalfaber/keras_Realtime_Multi-Person_Pose_Estimation |
677 |
|
0 |
0 |
over 6 years ago |
0 |
|
99 |
other |
Jupyter Notebook |
| Keras version of Realtime Multi-Person Pose Estimation project |
| fwang91/residual-attention-network |
547 |
|
0 |
0 |
over 8 years ago |
0 |
|
18 |
|
|
| Residual Attention Network for Image Classification |
| bertinetto/cfnet |
474 |
|
0 |
0 |
almost 8 years ago |
0 |
|
24 |
mit |
Matlab |
| [CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed.. |
| MarekKowalski/DeepAlignmentNetwork |
452 |
|
0 |
0 |
over 7 years ago |
0 |
|
43 |
mit |
Python |
| A deep neural network for face alignment |
| una-dinosauria/human-motion-prediction |
270 |
|
0 |
0 |
almost 7 years ago |
0 |
|
27 |
mit |
Python |
| Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17. |
| durandtibo/wildcat.pytorch |
227 |
|
0 |
0 |
over 8 years ago |
0 |
|
10 |
mit |
Python |
| PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017 |
| last-one/Pytorch_Realtime_Multi-Person_Pose_Estimation |
205 |
|
0 |
0 |
almost 8 years ago |
0 |
|
30 |
mit |
Jupyter Notebook |
| Pytorch version of Realtime Multi-Person Pose Estimation project |
