Dooseop Choi

According to our database, Dooseop Choi authored at least 17 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

CycleBEV: Regularizing View Transformation Networks via View Cycle Consistency for Bird's-Eye-View Semantic Segmentation.

Jeongbin Hong, Dooseop Choi, Taeg-Hyun An, Kyounghwan An, Kyoung-Wook Min

CoRR, February, 2026

Machine learning-based detection method for malicious PDF files: A temporal classification approach.

Dooseop Choi, TaeGuen Kim, Boojoong Kang, Eul Gyu Im

Appl. Soft Comput., 2026

2025

LANet: A Lane Boundaries-Aware Approach For Robust Trajectory Prediction.

Muhammad Atta Ur Rahman, Dooseop Choi, KyoungWook Min

CoRR, July, 2025

2024

Progressive Query Refinement Framework for Bird's-Eye-View Semantic Segmentation from Surrounding Images.

Dooseop Choi, Jungyu Kang, Taeghyun An, Kyounghwan Ahn, KyoungWook Min

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Insta-Track: Instance Segmentation Assisted Tracking by Detection.

Jungyu Kang, Dongjin Lee, Jae-Hyuck Park, Taeg-Hyun An, Dooseop Choi, Kyoung-Wook Min, Sangyoun Lee

Proceedings of the 15th International Conference on Information and Communication Technology Convergence, 2024

2022

Hierarchical Latent Structure for Multi-modal Vehicle Trajectory Forecasting.

Dooseop Choi, KyoungWook Min

Proceedings of the Computer Vision - ECCV 2022, 2022

2020

Regularising neural networks for future trajectory prediction via inverse reinforcement learning framework.

Dooseop Choi, Kyoungwook Min, Jeongdan Choi

IET Comput. Vis., 2020

PathGAN: Local Path Planning with Generative Adversarial Networks.

Dooseop Choi, Seung-Jun Han, Kyoungwook Min, Jeongdan Choi

CoRR, 2020

2019

Regularizing Neural Networks for Future Trajectory Prediction via Inverse Reinforcement Learning.

Dooseop Choi, Kyoungwook Min, Jeongdan Choi

CoRR, 2019

SAE Level 3 Autonomous Driving Technology of the ETRI.

KyoungWook Min, Seung-Jun Han, Dongjin Lee, Dooseop Choi, KyungBok Sung, JeongDan Choi

Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019

2018

Driving Experience Transfer Method for End-to-End Control of Self-Driving Cars.

Dooseop Choi, Taeg-Hyun An, Kyounghwan Ahn, Jeongdan Choi

CoRR, 2018

Future Trajectory Prediction via RNN and Maximum Margin Inverse Reinforcement Learning.

Dooseop Choi, Taeg-Hyun An, Kyounghwan Ahn, Jeongdan Choi

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Hierarchical motion estimation algorithm based on maximum a posteriori probability.

Dooseop Choi, Taeg-Hyun An, Taejeong Kim

Proceedings of the 19th IEEE International Workshop on Multimedia Signal Processing, 2017

2016

MAP-Based Motion Refinement Algorithm for Block-Based Motion-Compensated Frame Interpolation.

Dooseop Choi, Wonseok Song, Hyuk Choi, Taejeong Kim

IEEE Trans. Circuits Syst. Video Technol., 2016

2012

A statistical approach to motion vector field smoothing for block-based motion-compensated frame interpolation.

Dooseop Choi, Wonseok Song, Jongsoon Park, Hyuk Choi, Taejeong Kim

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2010

Selective correlation detector for additive spread spectrum watermarking in transform domain.

Hyun Wook Kim, Dooseop Choi, Hyuk Choi, Taejeong Kim

Signal Process., 2010

A blind MPEG-2 video watermarking robust to camcorder recording.

Dooseop Choi, Hoseok Do, Hyuk Choi, Taejeong Kim

Signal Process., 2010