| xuehaouwa/Awesome-Trajectory-Prediction |
863 |
|
0 |
0 |
about 3 years ago |
0 |
|
2 |
|
|
| j-min/Adversarial_Video_Summary |
216 |
|
0 |
0 |
about 3 years ago |
0 |
|
18 |
|
Python |
| Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017) |
| lawy623/LSTM_Pose_Machines |
181 |
|
0 |
0 |
about 7 years ago |
0 |
|
8 |
|
Jupyter Notebook |
| Code repo for "LSTM Pose Machines" (CVPR'18) |
| piergiaj/super-events-cvpr18 |
105 |
|
0 |
0 |
over 7 years ago |
0 |
|
5 |
mit |
Python |
| Code for our CVPR 2018 paper "Learning Latent Super-Events to Detect Multiple Activities in Videos" |
| hobincar/RecNet |
25 |
|
0 |
0 |
about 6 years ago |
0 |
|
6 |
mit |
Python |
| A Pytorch implementation of "Reconstruction Network for Video Captioning", CVPR 2018 |
| huanglianghua/video-detection-benchmark |
20 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
|
| Video object detection benchmark. |
| aleflabo/HypAD |
10 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Python |
| The official PyTorch implementation of the IEEE/CVF CVPR Visual Anomaly and Novelty Detection (VAND) Workshop paper Are we certain it's anomalous?. |
| FORTH-ModelBasedTracker/reading_group |
7 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
|
|
| Reading group material and links |
| frankchen121212/MobilePose-master |
7 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Pytorch implementation on PennAction (LSTM_Pose_Machines_CVPR_2018_paper) |
