CIVITraj: A Practical Calibration-Free Framework and Dataset for Vehicle Trajectory Prediction from Urban Infrastructure

Je-Seok Ham, Hyunseo Lee, Yongseon Lee, Kwanyong Park, Jinyoung Moon, Changick Kim

IEEE Transactions on Intelligent Transportation Systems, under 1st review

Instruction-Tuned Multimodal Large Language Model for Generalizable Pedestrian Action Prediction in Urban Driving

Je-Seok Ham*, Jia Huang*, Peng Jiang, Jinyoung Moon, Srikanth Saripalli, Changick Kim

Engineering Applications of Artificial Intelligence, 1st revision & under 2nd review

Infrastructure-Assisted Defensive Forecasting of Latent Traffic Hazards from Uncalibrated CCTV

Je-Seok Ham, Hyunseo Lee, Yongseon Lee, Kwanyong Park, Jinyoung Moon, Changick Kim

ECCV 2026 Workshops, Accepted

Multimodal Understanding with GPT-4o to Enhance Generalizable Pedestrian Behavior Prediction

Je-Seok Ham, Jia Huang, Peng Jiang, Jinyoung Moon, Yongjin Kwon, Srikanth Saripalli, Changick Kim

Computers and Electrical Engineering, Vol. 129, No. 110741, 2026

[ paper ]

WatchoutPed: A Dataset and Model for Vulnerable Pedestrian Anticipation in Surveillance Videos

Je-Seok Ham*, Dae Hoe Kim*, Jinyoung Moon

Knowledge-Based Systems, Vol. 316, No. 113352, 2025

[ paper ]

Proactive Pedestrian Safety System by Fusing Trajectory Prediction with Semantic Ground Region Classification

Sungchan Oh*, Dae Hoe Kim*, Je-Seok Ham*, Jinyoung Moon

IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2025

[ paper ]

OmniPredict: GPT-4o Enhanced Multi-modal Pedestrian Crossing Intention Prediction

Je-Seok Ham, Jia Huang, Peng Jiang, Jinyoung Moon, Yongjin Kwon, Srikanth Saripalli, Changick Kim

NeurIPS 2024 Workshops on Adaptive Foundation Models

[ paper ]

LLaMAPed: Multi-modal Pedestrian Crossing Intention Prediction

Je-Seok Ham, Sunghun Kim, Jia Huang, Peng Jiang, Jinyoung Moon, Srikanth Saripalli, Changick Kim

ECCV 2024 Workshops, pp. 150–167

[ paper ]

CIPF: Crossing Intention Prediction Network based on Feature Fusion Modules for Improving Pedestrian Safety

Je-Seok Ham, Dae Hoe Kim, NamKyo Jung, Jinyoung Moon

CVPR 2023 Workshops, pp. 3665–3674 Citation: 79

[ paper ]

MCIP: Multi-Stream Network for Pedestrian Crossing Intention Prediction

Je-Seok Ham, Kangmin Bae, Jinyoung Moon

ECCV 2022 Workshops, pp. 663–679 Citation: 44

[ paper ]

Live Demonstration: A Neural Processor for AI Acceleration

Hyeji Kim, Jaehoon Chung, Kyoungseon Shin, Chun-Gi Lyuh, HyunMi Kim, Chan Kim, Yong Cheol Peter Cho, Jeongmin Yang, Je-Seok Ham, Minseok Choi, Jinho Han, Youngsu Kwon

IEEE International Symposium on Circuits and Systems (ISCAS), 2021

[ paper ]

HPC LINPACK Parameter Optimization on Homo-/Heterogeneous System of ARM Neoverse N1SDP

Je-Seok Ham, Yong Cheol Peter Cho, Ju-Yeob Kim, Chun-Gi Lyuh, Jin-Kyu Kim, Jinho Han, Youngsu Kwon

International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia), 2021

[ paper ]

AB9: A Neural Processor for Inference Acceleration

Yong Cheol Peter Cho, Jaehoon Chung, Jeongmin Yang, Chun-Gi Lyuh, HyunMi Kim, Chan Kim, Je-Seok Ham, Minseok Choi, Kyoungseon Shin, Jinho Han, Youngsu Kwon

ETRI Journal, Vol. 42, No. 4, pp. 491–504, 2020 Citation: 13

[ paper ]

Meningeal Lymphatic Vessels at the Skull Base Drain Cerebrospinal Fluid

Ji Hoon Ahn*, Hyunsoo Cho*, Jun-Hee Kim*, Shin Heun Kim, Je-Seok Ham, Intae Park, Sang Heon Suh, Seon Pyo Hong, Joo-Hye Song, Young-Kwon Hong, Yong Jeong, Sung-Hong Park, Gou Young Koh

Nature, Vol. 572, No. 7767, pp. 62–66, 2019 Citation: 924

[ paper ]

Multiple TR Approach for Direct Detection of Fast Oscillating Magnetic Fields

Je-Seok Ham, Hyun-Soo Lee, Sung-Hong Park

ISMRM 27th Annual Meeting & Exhibition, 2019

[ paper ]

Intra-operative MRI with MR Detectable Endoscope Using Tunable Lens Filled with MR Contrast Agent

Je-Seok Ham, Sang-In Bae, Won-Joon Do, Ki-Hun Jeong, Sung-Hong Park

ISMRM 26th Annual Meeting & Exhibition, No. 1505, 2018

[ paper ]