no code implementations • 14 Mar 2021 • Heewoong Park, Sukhyun Cho, Jonghun Park
While word-level language models (LMs) have been widely adopted for computing the joint probabilities of word sequences, they have difficulty in capturing a context long enough for sentence probability estimation (SPE).
1 code implementation • 2 Mar 2021 • Jonghyuk Park, Sukhyun Cho, Dongwoo Kim, Oleksandr Bailo, Heewoong Park, Sanghoon Hong, Jonghun Park
Furthermore, in order to compute the motion similarity from these datasets, we propose a deep learning model that produces motion embeddings suitable for measuring the similarity between different motions of each human body part.
no code implementations • 4 Mar 2020 • Sanghoon Hong, Hunchul Park, Jonghyuk Park, Sukhyun Cho, Heewoong Park
Most of the top-down pose estimation models assume that there exists only one person in a bounding box.