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cs.CV2023
Noise-in, Bias-out: Balanced and Real-time MoCap Solving
Georgios Albanis, Nikolaos Zioulis, Spyridon Thermos +2
Real-time optical Motion Capture (MoCap) systems have not benefited from the advances in modern data-driven modeling. In this work we apply machine learning to solve noisy unstruct…
cs.CV2023
Compositionally Equivariant Representation Learning
Xiao Liu, Pedro Sanchez, Spyridon Thermos +2
Deep learning models often need sufficient supervision (i.e. labelled data) in order to be trained effectively. By contrast, humans can swiftly learn to identify important anatomy…