StridedTransformer-Pose3D icon indicating copy to clipboard operation
StridedTransformer-Pose3D copied to clipboard

[TMM 2022] Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation

Results 9 StridedTransformer-Pose3D issues
Sort by recently updated
recently updated
newest added

HI, I saw your answer in a closed issue. May I ask how can I retrained in casual setting to process real-time video streams?

Hello How are you? Thanks for contributing to this project. Even when a person keeps the same pose for long time (ex: for 3~5 seconds), is it possible to estimate...

hello, thank you for your awesome work. I have toubles of using multi-gpus when training: I added "model = nn.DataParallel(model)" before main.py line187: "all_param = []", but it doesn't work...

is it refer to Exploiting Spatial-temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks, the refinement module? how many epochs do I need to train to add this module?

Dear author, Thank you for your amazing work. I trying run your demo code with in-the-wild video and I got only about 15fps with 3D pose estimation (with HRnet and...

I am currently working on a project where I aim to use your Colab notebook to process PNG image files, but I’ve noticed that the code expects an MP4 video...

im a junior student,i dont have power enough to get attention map.can you give me a example?