Search Results for author: Byeongwon Lee

Found 4 papers, 2 papers with code

Context Enhanced Transformer for Single Image Object Detection

no code implementations22 Dec 2023 Seungjun An, Seonghoon Park, Gyeongnyeon Kim, JeongYeol Baek, Byeongwon Lee, Seungryong Kim

With the increasing importance of video data in real-world applications, there is a rising need for efficient object detection methods that utilize temporal information.

Object object-detection +1

Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection

1 code implementation20 Nov 2020 Junho Koh, Jaekyum Kim, Younji Shin, Byeongwon Lee, Seungji Yang, Jun Won Choi

In this paper, we propose a new video object detector (VoD) method referred to as temporal feature aggregation and motion-aware VoD (TM-VoD), which produces a joint representation of temporal image sequences and object motion.

Object object-detection +1

Submission to ActivityNet Challenge 2019: Task B Spatio-temporal Action Localization

no code implementations25 Jul 2019 Chunfei Ma, Joonhyang Choi, Byeongwon Lee, Seungji Yang

This technical report present an overview of our system proposed for the spatio-temporal action localization(SAL) task in ActivityNet Challenge 2019.

Data Augmentation Spatio-Temporal Action Localization +1

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