46 citations · 279 across the 39 of their papers we have counts for
5 papers · 1 filter
Noise-tolerant Audio-visual Online Person Verification using an Attention-based Neural Network Fusion
Suwon Shon, Tae-Hyun Oh, James Glass
In this paper, we present a multi-modal online person verification system using both speech and visual signals. Inspired by neuroscientific findings on the association of voice and…
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…
Learning to Localize Sound Source in Visual Scenes
Arda Senocak, Tae-Hyun Oh, Junsik Kim +2
Visual events are usually accompanied by sounds in our daily lives. We pose the question: Can the machine learn the correspondence between visual scene and the sound, and localize…
Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks
Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh +2
Human behavior understanding is arguably one of the most important mid-level components in artificial intelligence. In order to efficiently make use of data, multi-task learning ha…