Byeongjoon Noh

24 papers B 1Journal 18Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A multi-modal approach for detecting drivers' distraction using bio-signal and vision sensor fusion in driver monitoring systems. Eng. Appl. Artif. Intell. Byeongjoon Noh, Myeongseok Park, Yechan Han, Jaeyun Kim
2025	J	`jnl`	A smart livestock framework for multimodal abnormally screaming pig identification and behavioral reporting in group-housed environments. Comput. Electron. Agric. Heechan Chae, Minju Park, Byeongjoon Noh
2025	J	`jnl`	Attention-Driven Lane Change Trajectory Prediction With Traffic Context in Urban Environments. IEEE Access Seokjun Hong, Jaegyun Im, Byeongjoon Noh
2025	J	`jnl`	Ctx2TrajGen: Traffic Context-Aware Microscale Vehicle Trajectories using Generative Adversarial Imitation Learning. CoRR Joobin Jin, Seokjun Hong, Gyeongseon Baek, Yeeun Kim, Byeongjoon Noh
2025	J	`jnl`	DRIFT open dataset: A drone-derived intelligence for traffic analysis in urban environment. CoRR Hyejin Lee, Seokjun Hong, Jeonghoon Song, Haechan Cho, Zhixiong Jin, Byeonghun Kim, Joobin Jin, Jaegyun Im, Byeongjoon Noh, Hwasoo Yeo
2025	—	`conf`	Driving Scene Context-Augmented Trajectory Prediction with Risk-Aware Decision Reasoning Using Multimodal LLM. EPIA (2) Sunghun Kim, Seokjun Hong, Joobin Jin, Byeongjoon Noh
2025	J	`jnl`	Federated learning-based road surveillance system in distributed CCTV environment: Pedestrian fall recognition using spatio-temporal attention networks. Appl. Intell. Byeonghun Kim, Jaegyun Im, Byeongjoon Noh
2025	J	`jnl`	KeyRe-ID: Keypoint-Guided Person Re-Identification using Part-Aware Representation in Videos. CoRR Jinseong Kim, Jeonghoon Song, Gyeongseon Baek, Byeongjoon Noh
2025	J	`jnl`	Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision. CoRR Jeonghoon Song, Sunghun Kim, Jaegyun Im, Byeongjoon Noh
2025	J	`jnl`	SaliencyMix+: Noise-Minimized Image Mixing Method With Saliency Map in Data Augmentation. IEEE Access Hajeong Lee, Zhixiong Jin, Jiyoung Woo, Byeongjoon Noh
2025	—	`conf`	Traffic Context-Augmented Vehicle Trajectory Prediction Framework Using Multimodal LLM. ITSC Jaegyun Im, Byeonghun Kim, Joobin Jin, Byeongjoon Noh
2024	J	`jnl`	A novel approach for reliable pedestrian trajectory collection with behavior-based trajectory reconstruction for urban surveillance systems. Adv. Eng. Softw. Wonjun No, Byeongjoon Noh, Youngchul Kim
2024	J	`jnl`	FLAMe: Federated Learning with Attention Mechanism using Spatio-Temporal Keypoint Transformers for Pedestrian Fall Detection in Smart Cities. CoRR Byeonghun Kim, Byeongjoon Noh
2023	J	`jnl`	Deep Learning and Geometry Flow Vector Using Estimating Vehicle Cuboid Technology in a Monovision Environment. Sensors Byeongjoon Noh, Tengfeng Lin, Sungju Lee, Taikyeong Jeong
2022	—	`conf`	Asymmetric Long-Term Graph Multi-Attention Network for Traffic Speed Prediction. ITSC Ji-Young Hwang, Byeongjoon Noh, Zhixiong Jin, Hwasoo Yeo
2022	—	`conf`	Deep Learning-based Approach on Risk Estimation of Urban Traffic Accidents. ITSC Zhixiong Jin, Byeongjoon Noh, Haechan Cho, Hwasoo Yeo
2022	J	`jnl`	Identifying the exterior image of buildings on a 3D map and extracting elevation information using deep learning and digital image processing. CoRR Donghwa Shon, Byeongjoon Noh, Nahyang Byun
2022	J	`jnl`	Vision-Based Pedestrian's Crossing Risky Behavior Extraction and Analysis for Intelligent Mobility Safety System. Sensors Byeongjoon Noh, Hansaem Park, Sungju Lee, Seung-Hee Nam
2021	J	`jnl`	A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure. CoRR Byeongjoon Noh, Hwasoo Yeo
2021	J	`jnl`	Analyzing vehicle pedestrian interactions combining data cube structure and predictive collision risk estimation model. CoRR Byeongjoon Noh, Hansaem Park, Hwasoo Yeo
2021	J	`jnl`	Automated Object Behavioral Feature Extraction for Potential Risk Analysis based on Video Sensor. CoRR Byeongjoon Noh, Wonjun No, David Lee, Hwasoo Yeo
2021	J	`jnl`	Vision based Pedestrian Potential Risk Analysis based on Automated Behavior Feature Extraction for Smart and Safe City. CoRR Byeongjoon Noh, Dongho Ka, David Lee, Hwasoo Yeo
2018	—	`conf`	Vision-based Overhead Front Point Recognition of Vehicles for Traffic Safety Analysis. UbiComp/ISWC Adjunct Byeongjoon Noh, Wonjun No, David Lee
2017	B	`conf`	Movement Classification based on Acceleration Spectrogram with Dynamic Time Warping Method. MDM Byeongjoon Noh, Keumgang Cha, Seongju Chang