Movement Classification based on Acceleration Spectrogram with Dynamic Time Warping Method. - Byeongjoon Noh; KeumGang Cha; Seongju Chang (MDM, 2017)

Vision-based Overhead Front Point Recognition of Vehicles for Traffic Safety Analysis. - Byeongjoon Noh; Wonjun No; David Lee (UbiComp/ISWC Adjunct, 2018)

A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure. - Byeongjoon Noh; Hwasoo Yeo (CoRR, 2021)

Vision based Pedestrian Potential Risk Analysis based on Automated Behavior Feature Extraction for Smart and Safe City. - Byeongjoon Noh; Dongho Ka; David Lee; Hwasoo Yeo (CoRR, 2021)

Automated Object Behavioral Feature Extraction for Potential Risk Analysis based on Video Sensor. - Byeongjoon Noh; Wonjun No; David Lee; Hwasoo Yeo (CoRR, 2021)

Analyzing vehicle pedestrian interactions combining data cube structure and predictive collision risk estimation model. - Byeongjoon Noh; Hansaem Park; Hwasoo Yeo (CoRR, 2021)

Asymmetric Long-Term Graph Multi-Attention Network for Traffic Speed Prediction. - Ji-Young Hwang; Byeongjoon Noh; Zhixiong Jin; Hwasoo Yeo (ITSC, 2022)

Deep Learning-based Approach on Risk Estimation of Urban Traffic Accidents. - Zhixiong Jin; Byeongjoon Noh; Haechan Cho; Hwasoo Yeo (ITSC, 2022)

Identifying the exterior image of buildings on a 3D map and extracting elevation information using deep learning and digital image processing. - Donghwa Shon; Byeongjoon Noh; Nahyang Byun (CoRR, 2022)

Vision-Based Pedestrian's Crossing Risky Behavior Extraction and Analysis for Intelligent Mobility Safety System. - Byeongjoon Noh; Hansaem Park; Sungju Lee; Seung-Hee Nam (Sensors, 2022)

Deep Learning and Geometry Flow Vector Using Estimating Vehicle Cuboid Technology in a Monovision Environment. - Byeongjoon Noh; Tengfeng Lin; Sungju Lee; Taikyeong Jeong (Sensors, 2023)

A novel approach for reliable pedestrian trajectory collection with behavior-based trajectory reconstruction for urban surveillance systems. - Wonjun No; Byeongjoon Noh; Youngchul Kim (Adv. Eng. Softw., 2024)

FLAMe: Federated Learning with Attention Mechanism using Spatio-Temporal Keypoint Transformers for Pedestrian Fall Detection in Smart Cities. - Byeonghun Kim; Byeongjoon Noh (CoRR, 2024)

Attention-Driven Lane Change Trajectory Prediction With Traffic Context in Urban Environments. - Seokjun Hong; Jaegyun Im; Byeongjoon Noh (IEEE Access, 2025)

SaliencyMix+: Noise-Minimized Image Mixing Method With Saliency Map in Data Augmentation. - Hajeong Lee; Zhixiong Jin; Jiyoung Woo; Byeongjoon Noh (IEEE Access, 2025)

Federated learning-based road surveillance system in distributed CCTV environment: Pedestrian fall recognition using spatio-temporal attention networks. - Byeonghun Kim; Jaegyun Im; Byeongjoon Noh (Appl. Intell., 2025)

DRIFT open dataset: A drone-derived intelligence for traffic analysis in urban environment. - Hyejin Lee; Seokjun Hong; Jeonghoon Song; Haechan Cho; Zhixiong Jin; Byeonghun Kim; Joobin Jin; Jaegyun Im; Byeongjoon Noh; Hwasoo Yeo (CoRR, 2025)

KeyRe-ID: Keypoint-Guided Person Re-Identification using Part-Aware Representation in Videos. - Jinseong Kim; Jeonghoon Song; Gyeongseon Baek; Byeongjoon Noh (CoRR, 2025)

Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision. - Jeonghoon Song; Sunghun Kim; Jaegyun Im; Byeongjoon Noh (CoRR, 2025)

Ctx2TrajGen: Traffic Context-Aware Microscale Vehicle Trajectories using Generative Adversarial Imitation Learning. - Joobin Jin; Seokjun Hong; Gyeongseon Baek; Yeeun Kim; Byeongjoon Noh (CoRR, 2025)