Seongjean Kim — accepted AI-conference papers

2025

MBTI: Masked Blending Transformers with Implicit Positional Encoding for Frame-rate Agnostic Motion Estimation

Jungwoo Huh, Yeseung Park, Seongjean Kim, Jungsu Kim, Sanghoon Lee

ICCV 2025poster

Human motion estimation models typically assume a fixed number of input frames, making them sensitive to variations in frame rate and leading to inconsistent motion predictions across different temporal resolutions. This limitation arises because input frame rates inherently determine the temporal g…

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2022

A Brand New Dance Partner: Music-Conditioned Pluralistic Dancing Controlled by Multiple Dance Genres

Jinwoo Kim, Heeseok Oh, Seongjean Kim, Hoseok Tong, Sanghoon Lee

CVPR 2022poster

When coming up with phrases of movement, choreographers all have their habits as they are used to their skilled dance genres. Therefore, they tend to return certain patterns of the dance genres that they are familiar with. What if artificial intelligence could be used to help choreographers blend da…

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