Search Results for author: Lucas Stoffl

Found 3 papers, 3 papers with code

End-to-End Trainable Multi-Instance Pose Estimation with Transformers

2 code implementations22 Mar 2021 Lucas Stoffl, Maxime Vidal, Alexander Mathis

Inspired by recent work on end-to-end trainable object detection with transformers, we use a transformer encoder-decoder architecture together with a bipartite matching scheme to directly regress the pose of all individuals in a given image.

Keypoint Detection object-detection +1

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