83 citations · 99 across the 15 of their papers we have counts for
3 papers · 1 filter
FML: Face Model Learning from Videos
Ayush Tewari, Florian Bernard, Pablo Garrido +6
Monocular image-based 3D reconstruction of faces is a long-standing problem in computer vision. Since image data is a 2D projection of a 3D face, the resulting depth ambiguity make…
On Learning Associations of Faces and Voices
Changil Kim, Hijung Valentina Shin, Tae-Hyun Oh +3
In this paper, we study the associations between human faces and voices. Audiovisual integration, specifically the integration of facial and vocal information is a well-researched…
Learning-based Video Motion Magnification
Tae-Hyun Oh, Ronnachai Jaroensri, Changil Kim +4
Video motion magnification techniques allow us to see small motions previously invisible to the naked eyes, such as those of vibrating airplane wings, or swaying buildings under th…