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aku's Introduction

πŸš€ [ ACM MM 2022 Oral ] AKU: Action Knowledge Understanding framework

PyTorch Conference License

This is the official repository of our ACM Multimedia 2022 Work. Kinetic-TPS dataset and pytorch training/validation code for Visual Knowledge Graph for Human Action Reasoning in Videos.

🏚️ Introduction

teaser

🏝️ Visualizations

teaser

🏰 Acknowledgement

This work is partially supported by National Natural Science Foun- dation of China (61876176), the Joint Lab of CAS-HK, the Shanghai Committee of Science and Technology (Grant No. 21DZ1100100).

aku's People

Contributors

mayuelala avatar

Stargazers

Yifan Pu avatar Yuya Yoshikawa avatar  avatar  avatar  avatar  avatar Huangxingyu avatar THUSIGSCLUB avatar  avatar  avatar  avatar phd offer avatar  avatar Haonan Han avatar jumping apple avatar Chunming He avatar Yangliu avatar  avatar  avatar

Watchers

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Forkers

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aku's Issues

How does it work for new action videos?

I thing that your model goes like this,
you have kinetic tps annotated data which used to build a knowledge graph,
now what about non annotated data will you first , use cnn or something for creating those part, verb tags and then procced to do the knowledge graph thing or any other thing. please consider this question and do answer.

Code

I am trying to learn how your model works in details, for an in depth understanding i would like to ponder upon those codes.

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