111 citations · 244 across the 4 of their papers we have counts for
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cs.CV2021★ 10 cited
End-to-End Trainable Multi-Instance Pose Estimation with Transformers
Lucas Stoffl, Maxime Vidal, Alexander Mathis
We propose an end-to-end trainable approach for multi-instance pose estimation, called POET (POse Estimation Transformer). Combining a convolutional neural network with a transform…
cs.CV2021★ 103 cited
Perspectives on individual animal identification from biology and computer vision
Maxime Vidal, Nathan Wolf, Beth Rosenberg +2
Identifying individual animals is crucial for many biological investigations. In response to some of the limitations of current identification methods, new automated computer visio…