In this paper, we present our method for neural face reenactment, called...
Latent image representations arising from vision-language models have pr...
We introduce S^2VS, a video similarity learning approach with
self-super...
This work addresses the problem of anonymizing the identity of faces in ...
In this paper we address the problem of neural face reenactment, where, ...
This work addresses the problem of discovering non-linear interpretable ...
Recent advances in the understanding of Generative Adversarial Networks
...
This work addresses the problem of discovering, in an unsupervised manne...
In this paper, we address the problem of high performance and computatio...
Learning to localize actions in long, cluttered, and untrimmed videos is...
In this technical report we study the problem of propagation of uncertai...
This work addresses the problem of temporal action localization with
Var...
In this paper, we address the problem of temporal action localization wi...