Seungmin Jeon

According to our database, Seungmin Jeon authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Attentive neural controlled differential equations for time-series classification and forecasting.

Sheo Yon Jhin, Heejoo Shin, Sujie Kim, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon

Knowl. Inf. Syst., March, 2024

2023

Memento: A Framework for Detectable Recoverability in Persistent Memory.

Kyeongmin Cho, Seungmin Jeon, Azalea Raad, Jeehoon Kang

Proc. ACM Program. Lang., 2023

Scalable Object Detection on Embedded Devices Using Weight Pruning and Singular Value Decomposition.

Dohyun Ham, Jaeyeop Jeong, June-Kyoo Park, Raehyeon Jeong, Seungmin Jeon, Hyeongjun Jeon, Yewon Lim

CoRR, 2023

Context-Based Trit-Plane Coding for Progressive Image Compression.

Seungmin Jeon, Kwang Pyo Choi, Youngo Park, Chang-Su Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Overtaking decision and trajectory planning in highway via hierarchical architecture of conditional state machine and chance constrained model predictive control.

Seungmin Jeon, Kibeom Lee, Dongsuk Kum

Robotics Auton. Syst., 2022

RD-Optimized Trit-Plane Coding of Deep Compressed Image Latent Tensors.

Seungmin Jeon, Jae-Han Lee, Chang-Su Kim

CoRR, 2022

Practical Detectability for Persistent Lock-Free Data Structures.

Kyeongmin Cho, Seungmin Jeon, Jeehoon Kang

CoRR, 2022

DPICT: Deep Progressive Image Compression Using Trit-Planes.

Jae-Han Lee, Seungmin Jeon, Kwang Pyo Choi, Youngo Park, Chang-Su Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting.

Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon

Proceedings of the IEEE International Conference on Data Mining, 2021

2019

Optimal Path Tracking Control of Autonomous Vehicle: Adaptive Full-State Linear Quadratic Gaussian (LQG) Control.

Kibeom Lee, Seungmin Jeon, Heegwon Kim, Dongsuk Kum

IEEE Access, 2019