3 accepted papers
We present SemiHand, a semi-supervised framework for 3D hand pose estimation from monocular images. We pre-train the model on labelled synthetic data and fine-tune it on unlabelled real-world data by pseudo-labeling with consistency training. By design, we introduce data augmentation of differing di…
A new technique for representing speech articulation with an ultrasound-driven finite element model of the tongue is presented. By using a snake contour extraction algorithm with anatomically motivated constraints and a common coordinate system between the ultrasound and the tongue model, it is poss…
A 3-dimensional convolutional neural network is trained on unlabeled ultrasound video to predict an upcoming tongue image from previous ones. The network obtains results superior to those of simpler predictors and provides a starting point for exploiting the higher-level representation of the tongue…