Search Results for author: Hyolim Kang

Found 8 papers, 4 papers with code

ComMU: Dataset for Combinatorial Music Generation

1 code implementation17 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.).

Music Generation

Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks

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.

Action Classification Computational Efficiency +1

UBoCo: Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection

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.

Boundary Detection Contrastive Learning +3

UBoCo : Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection

no code implementations29 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.

Boundary Detection Contrastive Learning +3

Winning the CVPR'2021 Kinetics-GEBD Challenge: Contrastive Learning Approach

1 code implementation22 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.

Boundary Detection Contrastive Learning +1

Mature GAIL: Imitation Learning for Low-level and High-dimensional Input using Global Encoder and Cost Transformation

no code implementations7 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.

Imitation Learning

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