Jeongmin Shin

According to our database, Jeongmin Shin authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

INSANet: INtra-INter Spectral Attention Network for Effective Feature Fusion of Multispectral Pedestrian Detection.

Sangin Lee, Taejoo Kim, Jeongmin Shin, Namil Kim, Yukyung Choi

Sensors, February, 2024

Meent: Differentiable Electromagnetic Simulator for Machine Learning.

Yongha Kim, Anthony W. Jung, Sanmun Kim, Kevin Octavian, Doyoung Heo, Chaejin Park, Jeongmin Shin, Sunghyun Nam, Chanhyung Park, Juho Park, Sangjun Han, Jinmyoung Lee, Seolho Kim, Min Seok Jang, Chan Y. Park

CoRR, 2024

20.6 LSPU: A Fully Integrated Real-Time LiDAR-SLAM SoC with Point-Neural-Network Segmentation and Multi-Level kNN Acceleration.

Jueun Jung, Seungbin Kim, Bokyoung Seo, Wuyoung Jang, Sangho Lee, Jeongmin Shin, Donghyeon Han, Kyuho Jason Lee

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

LSPU: A 20.7 ms Low-Latency Point Neural Network-Based 3D Perception and Semantic LiDAR SLAM System-on-Chip for Autonomous Driving System.

Jueun Jung, Seungbin Kim, Bokyoung Seo, Wuyoung Jang, Sangho Lee, Jeongmin Shin, Donghyeon Han, Kyuho Jason Lee

Proceedings of the 36th IEEE Hot Chips Symposium, 2024

A Low-power and Real-time Semantic LiDAR SLAM Processor with Point Neural Network Segmentation and kNN Acceleration for Mobile Robots.

Jueun Jung, Seungbin Kim, Bokyoung Seo, Wuyoung Jang, Sangho Lee, Jeongmin Shin, Donghyeon Han, Kyuho Jason Lee

Proceedings of the IEEE Symposium in Low-Power and High-Speed Chips, 2024

A Low-power 3D Point Clouds Matching Processor with 1D-CNN Prediction and CAM-based In-memory kNN Searching.

Jeongmin Shin, Hoichang Jeong, Seungbin Kim, Keonhee Park, Sangho Lee, Kyuho Lee

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2022

Multispectral Benchmark Dataset and Baseline for Forklift Collision Avoidance.

Hyeong-Jun Kim, Taejoo Kim, Won Jo, Jiwon Kim, Jeongmin Shin, Daechan Han, Yujin Hwang, Yukyung Choi

Sensors, 2022

TransDSSL: Transformer Based Depth Estimation via Self-Supervised Learning.

Daechan Han, Jeongmin Shin, Namil Kim, Soonmin Hwang, Yukyung Choi

IEEE Robotics Autom. Lett., 2022

2021

The Effect Analysis of Thermal Infrared Colorization.

Daechan Han, Jeongmin Shin, Hyeong-Jun Kim, Yukyung Choi

Proceedings of the 18th International Conference on Ubiquitous Robots, 2021