2025
Yunseok Yang and Sang Jun Lee*, "RA-Distill: Relational Alignment Distillation Based on Gram Matrix for Semantic Segmentation of Country Club Environments," International Journal of Control, Automation, and Systems, 04 Nov. 2025. (IF: 2.5) (View)
Gyutae Hwang and Sang Jun Lee*, "MECO: Mixture-of-Expert Codebooks for Multiple Dense Prediction Tasks in Edge Environment," Sensors, 01 Sep. 2025. (IF: 3.5) (View)
Jimin Song and Sang Jun Lee*, "RGB-Based Visual-Inertial Odometry via Knowledge Distillation from Self-Supervised Depth Estimation with Foundation Models," Sensors, 30 Aug. 2025. (IF: 3.5) (View)
Changwoo Nam and Sang Jun Lee*, "ADBM: Adversarial Diffusion Bridge Model for Denoising of 3D Point Cloud Data," Sensors, 24 Aug. 2025. (IF: 3.5) (View)
Jiho Choi†, Gyeongyeon Hwang†, Yewon Ji, Hakyoung Yoon and Sang Jun Lee*, "PFSH-Net: Parallel frequency-spatial hybrid network for segmentation of kidney stones in pre-contrast computed tomography images of dogs," Computers in Biology and Medicine, 01 Mar. 2025. (IF: 7.0, JCR 2.3%) (View)
Seyoung Jeong, Jimin Song and Sang Jun Lee*, "TAG-Net: Triple Attention Guided Network for Inspecting Surface Defects on Steel Products," International Journal of Control, Automation, and Systems, 05 Feb. 2025. (IF: 2.5) (View)
2024
Jiho Choi and Sang Jun Lee*, "Neural Radiance Fields for Fisheye Driving Scenes Using Edge-Aware Integrated Depth Supervision," Sensors, 22 Oct. 2024. (IF: 3.4) (View)
Jimin Song, HyungGi Jo, Yongsik Jin and Sang Jun Lee*, "Uncertainty-Aware Depth Network for Visual Inertial Odometry of Mobile Robots," Sensors, 16 Oct. 2024. (IF: 3.4) (View)
Gyutae Hwang†, Jiwoo Jeong† and Sang Jun Lee*, "SFA-Net: Semantic Feature Adjustment Network for Remote Sensing Image Segmentation," Remote Sensing, 3 Sep. 2024. (IF: 4.2) (View)
Eunseong Jang, Sang Jun Lee and HyungGi Jo*, "A New Multimodal Map Building Method Using Multiple Object Tracking and Gaussian Process Regression," Remote Sensing, 18 July 2024. (IF: 4.2) (View)
2023
Eunjin Son, Jiho Choi, Jimin Song, Yongsik Jin and Sang Jun Lee*, "Monocular Depth Estimation from a Fisheye Camera based on Knowledge Distillation," Sensors, 16 Dec. 2023. (IF: 3.9) (View)
Jimin Song and Sang Jun Lee*, "Knowledge Distillation of Multi-scale Dense Prediction Transformer for Self-supervised Depth Estimation," Scientific Reports, 02 Nov. 2023. (IF: 4.6) (View)
Yewon Ji, Gyeongyeon Hwang, Sang Jun Lee, Kichang Lee and Hakyoung Yoon*, "A deep learning model for automated kidney calculi detection on noncontrast computed tomography scans in dogs," Frontiers in Veterinary Science, 20 Sep. 2023. (IF: 3.2, JCR 8.0%) (View)
Jiho Choi, Gyutae Hwang, Jun Seong Lee, Moonwook Ryu and Sang Jun Lee*, "Weighted Knowledge Distillation of Attention-LRCN for Recognizing Affective States from PPG Signals," Expert Systems With Applications, 15 Dec. 2023. (IF: 8.5, JCR 6.4%) (View)
Seonghyeon Jo, Wookyong Kwon, Sang Jun Lee, Sangmoon Lee* and Yongsik Jin*, "Enhanced Results on Sampled-data Synchronization for Chaotic Neural Networks with Actuator Saturation using Parameterized Control," IEEE Transactions on Neural Networks and Learning Systems, 03 Mar. 2023. (IF: 10.4, JCR 4.6%) (View)
2022
Talha Ilyas, Hyungjun Jin, Muhammad I. Siddique, Sang Jun Lee*, Hyongsuk Kim* and Leon Chua, "DIANA: A Deep Learning Based Paprika Plant Disease and Pest Phenotyping System with Disease Severity Assessment," Frontiers in Plant Science, 3862, 06 Oct. 2022. (IF: 6.627, JCR 8.16%) (View)
Jiho Choi and Sang Jun Lee*, "Weakly Supervised Learning for Transmission Line Detection using Unpaired Image-To-Image Translation," Remote Sensing, vol. 14, 3421, 16 July 2022. (IF: 5.349) (View)
Jonghyeok Lee, Talha Ilyas, Hyungjun Jin, Jonghoon Lee, Okjae Won*, Hyongsuk Kim* and Sang Jun Lee*, "A pixel-level coarse-to-fine image segmentation labelling algorithm," Scientific Reports, vol. 12, pp. 1-18, 23 May 2022. (IF: 4.996) (View)
2021
Wookyong Kwon, Yongsik Jin, Sang Jun Lee*, "Uncertainty-Aware Knowledge Distillation for Collision Identification of Collaborative Robots," Sensors, vol. 21, 6674, 8 October 2021. (IF: 3.847) (View)
Sang Jun Lee, Jea-Woo Lee*, Wonju Lee, Cheolhun Jang, "Constrained multiple planar reconstruction for automatic camera calibration of intelligent vehicles," Sensors, vol. 21, 4643, 6 July 2021. (IF: 3.847) (View)
Before 2021
Jong Pil Yun*, Woosang Crino Shin, Gyogwon Koo, Min Su Kim, Chungki Lee, Sang Jun Lee, "Automated defect inspection system for metal surfaces based on deep learning and data augmentation," Journal of Manufacturing Systems, vol. 55, pp. 317-324, 15 May 2020. (IF: 8.633, JCR 0.6%)
Jun Seong Lee, Sang Jun Lee, Minho Choi, Minseok Seo, Sang Woo Kim*, "QRS detection method based on fully convolutional networks for capacitive electrocardiogram," Expert Systems with Applications, vol. 134, pp. 66-78, 15 Nov. 2019. (IF: 4.292, JCR 7.74%)
Sang Jun Lee, Sang Woo Kim, Wookyong Kwon, Gyogwon Koo, and Jong Pil Yun*, "Selective Distillation of Weakly Annotated GTD for Vision-based Slab Identification System," IEEE Access, vol. 7, pp. 23177-23186, 13 Feb. 2019. (IF: 4.098, JCR 14.52%)
Jong Pil Yun, Sang Jun Lee, Gyogwon Koo, Crino Shin, and Changhyun Park*, "Automatic defect inspection system for steel products with exhaustive dynamic encoding algorithm for searches," Optical Engineering, vol. 58, no. 2, p. 023107, 14 Feb. 2019.
Gyogwon Koo, Jong Pil Yun, Sang Jun Lee, Hyeyeon Choi, Sang Woo Kim*, "End-to-end Billet Identification Number Recognition System," ISIJ International, vol. 59, no. 1, pp. 98-103, Jan. 2019.
Sang Jun Lee, Wookyong Kwon, Gyogwon Koo, Hyeyeon Choi, and Sang Woo Kim*, "Recognition of Slab Identification Numbers using a Fully Convolutional Network," ISIJ International, vol. 58, no. 4, pp. 696-703, Apr. 2018.
Seung Hun Kim, Sang Jun Lee, and Sang Woo Kim*, "Weaving Laser Vision System for Navigation of Mobile Robots in Pipeline Structures," IEEE Sensors Journal, vol. 18, no. 6, pp. 2585-2591, 18 Jan. 2018. (IF: 2.617, JCR 22.13%)
Sang Jun Lee and Sang Woo Kim*, "Localization of the slab information in factory scenes using deep convolutional neural networks," Expert Systems with Applications, vol. 77, pp. 34-43, 1 July 2017. (IF: 3.928, JCR 3.01%)
Sang Jun Lee, Jong Pil Yun, Gyogwon Koo, and Sang Woo Kim*, "End-to-end recognition of slab identification numbers using a deep convolutional neural network," Knowledge-Based Systems, vol. 132, pp. 1-10, 15 Sep. 2017. (IF: 4.529, JCR 11.65%)
Jong Pil Yun, Dongseob Kim, KyuHwan Kim, Sang Jun Lee, Chang Hyun Park, Sang Woo Kim*, "Vision-based surface detect inspection for thick steel plates," Optical Engineering, vol. 56, no. 5, p. 053108, 22 May 2017.
Yong-Ju Jeon, Doo-chul Choi, Sang Jun Lee, Jong Pil Yun, and Sang Woo Kim*, "Steel-surface defect detection using a switching-lighting scheme," Applied Optics, vol. 55, no. 1, pp. 47-57, 1 Jan. 2016.
Sang-Gyu Ryu, Doo-chul Choi, Yong-Ju Jeon, Sang Jun Lee, Jong Pil Yun, and Sang Woo Kim*, "Detection of Scarfing Faults on the Edges of Slabs," ISIJ International, vol. 54, no. 1, pp. 112-118, Jan. 2014.
Yong-Ju Jeon, Doo-chul Choi, Sang Jun Lee, Jong Pil Yun, and Sang Woo Kim*, "Defect detection for corner cracks in steel billets using a wavelet reconstruction method," Journal of the Optical Society of America A, vol. 31, no. 2, pp. 227-237, 9 Jan. 2014.
Doo-Chul Choi, Yong-Ju Jeon, Sang Jun Lee, Jong Pil Yun, and Sang Woo Kim*, "Algorithm for detectiong seam cracks in steel plates using a Gabor filter combination method," Applied Optics, vol. 53, no. 22, pp. 4865-4872, 22 July 2014.
2025
최현우, 남창우, 이상준*, "엘레베이터 버튼 검출성능 개선을 위한 어텐션 기반의 DETR 모델 개발", 대한임베디드공학회논문지, 2025년 10월. (View)
임형섭, 남창우, 이상준, “조건부 확산 모델과 수도 라벨 기반 준지도 학습을 통한 결함 검출 성능 향상 기법", 제어로봇시스템학회논문지, 2025년 10월. (View)
양윤석, 최지호, 박주하, 이상준, “골프장 주행환경 세그멘테이션을 위한 채널 어텐션 기반의 지식 증류 기법”, 제어로봇시스템학회논문지, 2025년 9월. (View)
김종오, 황규태, 정재진, 이상준*, "골프장 환경의 객체 검출을 위한 딥러닝 모델의 경량화 기술", 대한임베디드공학회논문지, 2025년 6월. (View)
정세영, 이상준*, "골프장 주행환경 세그멘테이션을 위한 LoRA 기반의 크로스 어텐션 트랜스포머", 대한임베디드공학회논문지, 2025년 6월. (View)
박주하, 최지호, 윤종필, 염한결, 이병도*, 이상준*, "파노라마 X-ray 영상에서의 상악동 영역 세그멘테이션을 위한 어텐션 기반의 U-Net 트랜스포머", 대한임베디드공학회논문지, 2025년 4월. (View)
이재명, 송지민, 이상준*, “파운데이션 모델의 뎁스 추정 성능 향상을 위한 다중 스케일 어덥터 모듈", 대한임베디드공학회논문지, 2025년 4월. (View)
손은진, 이상준*, "전방위 깊이 추정을 위한 멀티모달 확률분포 기반의 샘플링 방법", 제어로봇시스템학회논문지, 2025년 4월. (View)
2024
송지민, 조형기, 이상준*, “깊이 추정 및 커널 필터링 기반 Visual-Inertial Odometry", 대한임베디드공학회논문지, 2024년 8월. (View)
황규태, 송지민, 이상준*, “객체 영역에 특화된 뎁스 추정 기반의 충돌방지 기술개발”, 대한임베디드공학회논문지, 2024년 4월. (View)
남창우, 송지민, 진용식, 이상준*, "작물 수확 자동화를 위한 시각 언어 모델 기반의 환경적응형 과수 검출 기술", 대한임베디드공학회논문지, 2024년 4월. (View)
진실†, 송지민†, 최지호, 진용식, 정재진*, 이상준*, "카메라 기반 객체의 위치인식을 위한 왜곡제거 및 오검출 필터링 기법", 대한임베디드공학회논문지, 2024년 2월. (View)
2023
황규태, 박명근, 이상준*, "얼굴 영상 기반의 심박수 추정을 위한 딥러닝 모델의 경량화 기법", 대한임베디드공학회논문지, 2023년 4월. (View)
2022
황경연, 지예원, 윤학영, 이상준*, "CT 영상에서 폐 결절 분할을 위한 경계 및 역 어텐션 기법", 대한임베디드공학회논문지, 2022년 10월. (View)
최지호, 황규태, 이상준*, "비디오 영상에서 2차원 자세 추정과 LSTM 기반의 행동 패턴 예측 알고리즘", 대한임베디드공학회논문지, 2022년 8월. (View)
송지민, 이상준*, "비지도학습 기반의 뎁스 추정을 위한 지식 증류 기법", 대한임베디드공학회논문지, 2022년 8월. (View)
이상준*, "딥러닝 기반의 초해상도 영상복원 기법", 전자공학회지, 2022년 2월. (View)
2021
권우경, 진용식, 이상준*, "딥뉴럴네트워크를 이용한 다관절 로봇의 충돌 판별", 대한임베디드공학회논문지, 2021년 4월. (View)