Hyunwoo Ha — accepted AI-conference papers

2024

Learning-based Axial Video Motion Magnification

Kwon Byung-Ki, Oh Hyun-Bin, Kim Jun-Seong, Hyunwoo Ha, Tae-Hyun Oh*

ECCV 2024poster

"Video motion magnification amplifies invisible small motions to be perceptible, which provides humans with a spatially dense and holistic understanding of small motions in the scene of interest. This is based on the premise that magnifying small motions enhances the legibility of motions. In the re…

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2023

Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment

Kim Sung-Bin, Arda Senocak, Hyunwoo Ha, Andrew Owens, Tae-Hyun Oh

CVPR 2023poster

How does audio describe the world around us? In this paper, we propose a method for generating an image of a scene from sound. Our method addresses the challenges of dealing with the large gaps that often exist between sight and sound. We design a model that works by scheduling the learning procedur…

Cited by 45 Source ↗PDF ↗code ↗Scholar ↗