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Jae-Yeul Kim
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2020 – today
- 2024
- [i3]Jaeyeul Kim, Jungwan Woo, Ukcheol Shin, Jean Oh, Sunghoon Im:
Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow Estimation. CoRR abs/2407.07995 (2024) - 2023
- [j9]Jae-Yeul Kim
, Jong-Eun Ha
Automatic Extrinsic Calibration of a Camera and a 2D LiDAR With Point-Line Correspondences. IEEE Access 11: 76904-76912 (2023) - [j8]Jae-Yeul Kim
MSF-NET: Foreground Objects Detection With Fusion of Motion and Semantic Features. IEEE Access 11: 145551-145565 (2023) - [i2]Jaeyeul Kim, Jungwan Woo, Jeonghoon Kim, Sunghoon Im:
Domain Generalization in LiDAR Semantic Segmentation Leveraged by Density Discriminative Feature Embedding. CoRR abs/2312.12098 (2023) - 2022
- [j7]Jae-Yeul Kim
Weakly Supervised Foreground Object Detection Network Using Background Model Image. IEEE Access 10: 105726-105733 (2022) - [j6]Jae-Yeul Kim
Foreground Object Detection in Visual Surveillance With Spatio-Temporal Fusion Network. IEEE Access 10: 122857-122869 (2022) - [j5]Jae-Yeul Kim
RVMOS: Range-View Moving Object Segmentation Leveraged by Semantic and Motion Features. IEEE Robotics Autom. Lett. 7(3): 8044-8051 (2022) - 2021
- [j4]Jae-Yeul Kim
Generation of Background Model Image Using Foreground Model. IEEE Access 9: 127515-127530 (2021) - [j3]Jae-Yeul Kim, Jong-Eun Ha
Spatio-Temporal Data Augmentation for Visual Surveillance. IEEE Access 9: 165014-165033 (2021) - [i1]Jae-Yeul Kim, Jong-Eun Ha:
Spatio-temporal Data Augmentation for Visual Surveillance. CoRR abs/2101.09895 (2021) - 2020
- [j2]Jae-Yeul Kim
Foreground Objects Detection Using a Fully Convolutional Network With a Background Model Image and Multiple Original Images. IEEE Access 8: 159864-159878 (2020) - [j1]Jae-Yeul Kim
Extrinsic Calibration of a Camera and a 2D LiDAR Using a Dummy Camera With IR Cut Filter Removed. IEEE Access 8: 183071-183079 (2020)
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