1 code implementation • ICCV 2023 • Joungbin An, Hyolim Kang, Su Ho Han, Ming-Hsuan Yang, Seon Joo Kim
Online Action Detection (OAD) is the task of identifying actions in streaming videos without access to future frames.
Ranked #1 on Online Action Detection on TVSeries
1 code implementation • 17 Nov 2022 • Lee Hyun, Taehyun Kim, Hyolim Kang, Minjoo Ki, Hyeonchan Hwang, Kwanho Park, Sharang Han, Seon Joo Kim
Commercial adoption of automatic music composition requires the capability of generating diverse and high-quality music suitable for the desired context (e. g., music for romantic movies, action games, restaurants, etc.).
1 code implementation • CVPR 2023 • Hyolim Kang, Hanjung Kim, Joungbin An, Minsu Cho, Seon Joo Kim
Temporal Action Localization (TAL) methods typically operate on top of feature sequences from a frozen snippet encoder that is pretrained with the Trimmed Action Classification (TAC) tasks, resulting in a task discrepancy problem.
no code implementations • CVPR 2022 • Hyolim Kang, Jinwoo Kim, Taehyun Kim, Seon Joo Kim
Generic Event Boundary Detection (GEBD) is a newly suggested video understanding task that aims to find one level deeper semantic boundaries of events.
no code implementations • 29 Nov 2021 • Hyolim Kang, Jinwoo Kim, Taehyun Kim, Seon Joo Kim
Generic Event Boundary Detection (GEBD) is a newly suggested video understanding task that aims to find one level deeper semantic boundaries of events.
1 code implementation • 22 Jun 2021 • Hyolim Kang, Jinwoo Kim, KyungMin Kim, Taehyun Kim, Seon Joo Kim
Generic Event Boundary Detection (GEBD) is a newly introduced task that aims to detect "general" event boundaries that correspond to natural human perception.
no code implementations • ICCV 2021 • Hyolim Kang, KyungMin Kim, Yumin Ko, Seon Joo Kim
Temporal action localization has been one of the most popular tasks in video understanding, due to the importance of detecting action instances in videos.
no code implementations • 7 Sep 2019 • Wonsup Shin, Hyolim Kang, Sunghoon Hong
In this paper, we propose a new algorithm based on the GAIL framework that includes a global encoder and the reward penalization mechanism.