The Effect Analysis of Thermal Infrared Colorization. - Daechan Han; Jeongmin Shin; Hyeong-Jun Kim; Yukyung Choi (UR, 2021)

TransDSSL: Transformer Based Depth Estimation via Self-Supervised Learning. - Daechan Han; Jeongmin Shin; Namil Kim; Soonmin Hwang; Yukyung Choi (IEEE Robotics Autom. Lett., 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)

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 001 (AICAS, 2024)

A 273.48 TOPS/W and 1.58 Mb/mm2 Analog-Digital Hybrid CIM Processor with Transpose Ternary-eDRAM Bitcell. - Hoichang Jeong; Seungbin Kim; Jeongmin Shin; Keonhee Park; Kyuho Jason Lee (A-SSCC, 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 (COOL CHIPS, 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 (HCS, 2024)

Data Augmentation Techniques Using Text-to-Image Diffusion Models for Enhanced Data Diversity. - Jeongmin Shin; Hyeryung Jang (ICTC, 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 (ISSCC, 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; et al. (CoRR, 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, 2024)

A Mobile Semantic Lidar SLAM Processor With Artificial-Intelligence-Based 3-D Perception and Spatiotemporal-Aware Computing. - Jueun Jung; Seungbin Kim; Bokyoung Seo; Wuyoung Jang; Sangho Lee; Jeongmin Shin; Donghyeon Han; Kyuho Jason Lee (IEEE Micro, 2025)

An Energy-Efficient Processor for Real-Time Semantic LiDAR SLAM in Mobile Robots. - Jueun Jung; Seungbin Kim; Bokyoung Seo; Wuyoung Jang; Sangho Lee; Jeongmin Shin; Donghyeon Han; Kyuho Jason Lee (IEEE J. Solid State Circuits, 2025)

A 701.7 TOPS/W Compute-in-Memory Processor With Time-Domain Computing for Spiking Neural Network. - Keonhee Park; Hoichang Jeong; Seungbin Kim; Jeongmin Shin; Minseo Kim; Kyuho Jason Lee (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)

Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation. - Seokjun Kwon; Jeongmin Shin; Namil Kim; Soonmin Hwang; Yukyung Choi (CoRR, 2025)

C2IM-NN: A Low-Power 3D Point Clouds Matching Processor With 1D-CNN Prediction and CAM-Based In-Memory k-NN Searching. - Jeongmin Shin; Hoichang Jeong; Seungbin Kim; Keonhee Park; Sangho Lee; Kyuho Jason Lee (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)