The primary focus of our paper is on Euclidean reconstruction of novel test scenes, achieved by training a graph attention network on a few scenes, which then generalizes well enough to provide an ...

To achieve the desired degree of realism, our method first constructs a motion graph that preserves the statistics of a database of recorded conversations performed by a pair of actors. This graph is ...

Backbone Network,Class Prototypes,Classification Accuracy,Coarse Features,Contrastive Loss,Convolutional Network,Convolutional Neural Network,False Negative Samples,False Positive Samples,Few-shot ...

It looks like you're using an old browser. To access all of the content on Yr, we recommend that you update your browser. It looks like JavaScript is disabled in your browser. To access all the ...