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Heechul Jung (정희철)
Heechul Jung (정희철)
Associate Professor, PhD
Department of Artificial Intelligence
Kyungpook National University (KNU)
PhD Students
PhD Students
Master Students
Master Students
Publication (Recent)
Publication (Recent)
Jaesin Ahn and Heechul Jung, “GDoT: A Gated Dual Domain Transformer for Enhanced MRI Off-Resonance Correction,” Neurocomputing, 2025 (IF: 5.5).
Jihun Park, Jiuk Hong, Jihun Yoon, Bokyung Park, Min-Kook Choi, and Heechul Jung, “Towards Precise Pose Estimation in Robotic Surgery: Introducing Occlusion-Aware Loss,” MICCAI 2024 (acceptance rate: 30.96%).
Jae-Keun Lee, Jin-Hee Lee, Joohyun Lee, Soon Kwon, and Heechul Jung, “Re-VoxelDet: Rethinking Neck and Head Architectures for High-Performance Voxel-based 3D Detection,” WACV 2024 (acceptance rate: 41.69%).
Son, G.-J.; Jung, H.-C.; Kim, Y.-D., “Temporal-Quality Ensemble Technique for Handling Image Blur in Packaging Defect Inspection,” Sensors 2024, 24, 4438 (IF: 3.4).
S. Karshiev, S. Bang, S. Ryue, and H. Jung, “Real-Time Object Detection and Face Recognition Application for the Visually Impaired,” Computers, Materials & Continua, vol. 79, no. 3, pp. 3569-3583, 2024 (IF: 2.1).
Son, Jinhwan, and Heechul Jung, “Teacher–Student Model Using Grounding DINO and You Only Look Once for Multi-Sensor-Based Object Detection,” Applied Sciences 14, no. 6: 2232, 2024.
Jaesin Ahn, and Heechul Jung, “Redesigning Embedding Layers for Queries, Keys, and Values in Cross-Covariance Image Transformers,” Mathematics 2023, 11, 1933.
Hyundong Choi and Heechul Jung, “A GAN Model with Controllable Lesion Generation for Synthetic Capsule Endoscopy Datasets,” Neurips Workshop DGM4H, 2023.
Chaehyeon Lee, Jiuk Hong, Jonghyuck Lee, Taehoon Choi, and Heechul Jung, “Ordinal Regression for Beef Grade Classification,” IEEE 41st International Conference on Consumer Electronics, 2023.
Chaehyeon Lee, Jiuk Hong, and Heechul Jung, “N-Step Pre-Training and Décalcomanie Data Augmentation for Micro-Expression Recognition,” Sensors 22, no. 17: 6671, 2022.
Ju, Jeong-Woo, Heechul Jung, Yeoun J. Lee, Sang-Wook Mun, and Jong-Hyuck Lee, “Semantic Segmentation Dataset for AI-Based Quantification of Clean Mucosa in Capsule Endoscopy,” Medicina 58, no. 3: 397, 2022.
Jiuk, Hong, Chaehyeon Lee, and Heechul Jung, “Late Fusion-Based Video Transformer for Facial Micro-Expression Recognition,” Applied Sciences 12, no. 3: 1169, 2022.
Jiuk Hong, Chaehyeon Lee, Soyoun Bang, and Heechul Jung, “Fair Comparison between Efficient Attentions,” CVPR Workshop T4V, 2022.
Jaehyeop Choi, Chaehyeon Lee, and Heechul Jung, “SalfMix: A Novel Single Image-based Data Augmentation Technique using A Saliency Map,” Sensors, Vol 21, Issue 24, 2021.
Chaehyeon Lee, Junghoon Seo, and Heechul Jung, “Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner,” CVPR Workshop EarthVision, 2021.
Guk-Jin Son, Donghoon Kwak, Mi-Kyung Park, Young-Duk Kim, Heechul Jung, “U-Net-Based Foreign Object Detection Method Using Effective Image Acquisition System,” Sustainability, 2021.
Publication (Past)
Publication (Past)
Min-Kook Choi and Heechul Jung, “Development of Fast Refinement Detectors on AI Edge Platforms,” ICPR Workshops, 2020.
Yeakang Lee, Heechul Jung, Dongyoon Han, Kyungsu Kim, and Junmo Kim, “Learning Receptive Field Size by Learning Filter Size,” WACV 2019 (acceptance rate: 39.05%).
Gyeongmoon Lee, Minkook Choi, and Heechul Jung, “DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation,” MIDL 2019 (acceptance rate: 40.2%).
Min-Kook Choi, Jaehyeong Park, Jihun Jung, Heechul Jung, Jin-Hee Lee, Woong Jae Won, Woo Young Jung, Jincheol Kim, and Soon Kwon, “Co-occurrence matrix analysis-based semi-supervised training for object detection,” IEEE ICIP 2018 (acceptance rate: 47.8%).Soon Kwon, Jaehyeong Park, Heechul Jung, Jihun Jung, Min-Kook Choi, and Iman R, “Framework for Evaluating Vision-based Autonomous Steering Control Model,” IEEE ITSC 2018.
Heechul Jung, Min-Kook Choi, Soon Kwon, and Woo-Young Jung, “End-to-End Pedestrian Collision Warning System Based on a Convolutional Neural Network with Semantic Segmentation,” IEEE ICCE 2018.
Junkwang Kim, Woo-Young Jung, Heechul Jung, and Dong Seog Han, “Methodology for Improving Detection Speed of Pedestrians in Autonomous Vehicle by Image Class Classification,” IEEE ICCE 2018.
Min-Kook Choi, Jinhee Lee, Heechul Jung, Iman R Tayibnapis, and Soon Kwon, “Simulation Framework for Improved UI/UX of AR-HUD Display,” IEEE ICCE 2018.
Heechul Jung, Min-Kook Choi, Soon Kwon, and Woo Young Jung, “Deep Residual Network-based Large-scale Vehicle Classification in Real Traffic Surveillance Scenes,” The 12th IEMEK Symposium on Embedded Technology (ISET 2017).
Min-Kook Choi, Heechul Jung, Jihun Jung, Jinhee Lee, and Soon Kwon, “Object Detection for Surveillance Videos Using Fully Convolutional Neural Networks,” The 12th IEMEK Symposium on Embedded Technology (ISET 2017) (best poster paper award).Heechul Jung, Min-Kook Choi, Jihun Jung, Jinhee Lee, Soon Kwon, and Woo Young Jung, “ResNet-based Vehicle Classification and Localization in Traffic Surveillance Systems,” Traffic Surveillance Workshop and Challenge, CVPR 2017 (winner).
Heechul Jung, JongHoon Kwak, Jeongwoo Ju, and Junmo Kim, “An Automatic Self Lane Recognition using Multi-lane and Lane Change Detection,” IEEE ICCE-Asia 2016.
Injae Lee, Heechul Jung, Chung Hyun Ahn, Jeongil Seo, Junmo Kim, and Ohseok Kwon, “Real-time Personalized Facial Expression Recognition System based on Deep Learning,” ICCE 2016.
Heechul Jung, Sihaeng Lee, Sunjeong Park, Byungju Kim, Injae Lee, Chunghyun Ahn, and Junmo Kim, “Development of Deep Learning-based Facial Expression Recognition System,” FCV 2015.
Junho Yim, Jeongwoo Ju, Heechul Jung, and Junmo Kim, “Image Classification using Convolutional Neural Networks with Multi-Stage Feature,” RITA 2014.
Heechul Jung and Junmo Kim, “Rigid Motion Segmentation,” IWRCV 2014 (oral presentation).
Heechul Jung, Junggon Min, and Junmo Kim, “An Efficient Lane Detection Algorithm For Lane Departure Detection,” IV 2013.
SungRyull Sohn, Hansang Lee, Heechul Jung, and Junmo Kim, “High-definition Video-based Multi-channel Top-view Vehicle Surrounding Monitoring System for Mobile Navigation Devices,” ICCE 2013.
Jeongwoo Ju, Heechul Jung, and Junmo Kim, “Speaker Dependent Visual Speech Recognition Using Extended Curvature Gabor Filters,” ICCE 2013.
Jeongwoo Ju, Heechul Jung, and Junmo Kim, “Speaker Dependent Visual Speech Recognition by Symbol and Real Value Assignment,” RITA 2012.
Hansang Lee, D. H. Lee, Heechul Jung, M. Choi, and Junmo Kim, “Global Color Balancing for Satellite Image Mosaicing Using Decorrelated Color Spaces,” ICEIC 2012.
Research Project (done)
Research Project (done)
"딥러닝을 활용한 전자현미경 사진 복원", (주) 아이티팜, May 2024 - April 2025
"V-SLAM을 활용한 측위 및 공간매핑", (주) 하가, Jan 2024 - July 2024
"자동화된 신장 분할 및 수술 도구의 Pose 추정 모델 개발", (주) Hutom, Mar 2023 - Dec 2023
"시계열 비디오 영상에서 비언어적 반응 인식기반 상호작용 분석 연구", ETRI, Mar 2023 - Dec 2023
"PiCAR: 자가 학습이 가능한 개인화된 자율주행 기술 개발", NRF, Mar 2022 - Jan 2023
"딥러닝 기반의 시계열 비디오에서 행동/동공 검출∙추적 알고리즘 연구", ETRI, Jan 2022 - Dec 2022
"딥러닝 기반의 시계열 단위 비디오 영상인식 알고리즘 연구", ETRI, Jan 2021 - Dec 2021
"인공지능 기반 재활용품 인식 알고리즘 개발", IITP, Jan 2021 - Dec 2021
Domestic Patent
Domestic Patent
"딥러닝 기반의 건설 현장 시선 추적을 통한 주의 분산 감지 시스템", 출원, 10-2024-0175833, Nov. 29, 2024.
"뇌손상 중환자의 기계 환기 장치 발관 예측 장치 및 그 방법", 출원, 10-2024-0119748, Sep. 04, 2024.
"대형 멀티모달 모델을 이용한 시각 모델 업데이트 장치 및 방법", 출원, 10-2024-0084536, Jun. 27, 2024.
"돌출 맵을 활용한 데이터 증강 장치 및 방법과, 이를 수행하기 위한 컴퓨터 프로그램이 기록된 컴퓨터-판독가능매체", 등록, 10-2617990, Dec. 20, 2023.
"크로스-공분산 트랜스포머의 임베딩 장치, 방법 및 이를 구현하기 위한 컴퓨터로 판독 가능한 저장 매체", 출원, 10-2023-0134331, Oct. 10, 2023.
"재활용 폐기물 종류별 분류 및 오염도 판정 장치 및 방법", 출원, 10-2023-0123736, Sep. 18, 2023.
"이미지 데이터 증강 장치, 방법 및 이를 구현하기 위한 컴퓨터로 판독 가능한 저장 매체", 출원, 10-2023-0123703, Sep. 18, 2023
"미세 표정의 인지 정규화 시스템 및 방법", 출원, 10-2022-0163296, Nov. 29, 2022.
"돌출 맵을 활용한 단일 이미지 증강 기술", 출원, 10-2021-0178519, Dec. 14, 2021.
"객체 검출 방법, 장치 및 컴퓨터 프로그램", 출원, 10-2017-0148498, Nov. 09, 2017.
"앙상블 및 미세 조정을 이용한 영상 데이터 처리 장치 및 제어 방법", 출원, 10-2017-0147464, Nov. 07, 2017.
"시맨틱 분할 맵을 이용한 영상 데이터 처리 장치 및 제어 방법", 10-2017-0147475, Nov. 07, 2017.
"차선 이탈 감지 장치 및 제어 방법", 출원, 10-2017-0144687, Nov. 01, 2017.
"무작위 보팅을 이용하는 동영상에서의 움직임 분할 방법 및 시스템", 등록10-1693106, Dec. 29, 2016.
"주행환경 감응형 자율 조향 예측 장치 및 그 방법", 출원, 10-2016-0180010, Dec. 27, 2016.
"다중 차로 검출 및 차로 변경 감지 기반의 차로 인식 방법 및 시스템", 등록10-1653491, Aug. 26, 2016.
Challenge
Challenge
2nd Place Winner of Infrared Dataset Object Detection Challenge 2024 (hosted by Hanwha Systems)
2nd Place Winner of Infrared Dataset Object Detection Challenge 2024 (hosted by Hanwha Systems)
Chaehyeon Lee, Heechul Jung
3rd Place Winner in VizWiz Grand Challenge in conjunction with CVPR 2024
3rd Place Winner in VizWiz Grand Challenge in conjunction with CVPR 2024
Wonjun Choi, Sangbeom Lee, Seungyeon Lee, Heechul Jung, Dong-Gyu Lee
2nd Place Winner in Argoverse 3D Multi-Object Tracking Challenge in conjunction with CVPR 2023
2nd Place Winner in Argoverse 3D Multi-Object Tracking Challenge in conjunction with CVPR 2023
Jae-Keun Lee, Jin-Hee Lee, Joohyun Lee, Heechul Jung, Soon Kwon
2nd Place Winner of Beef Grade Classification Track in 2022 NIPA Online AI Competition
2nd Place Winner of Beef Grade Classification Track in 2022 NIPA Online AI Competition
Heechul Jung, Chaehyeon Lee, Jiuk Hong, Jonghyuck Lee, Taehoon Choi
2nd Place Winner of Object Classification Track in 2020 AI R&D Grand Challenge
2nd Place Winner of Object Classification Track in 2020 AI R&D Grand Challenge
Heechul Jung, Jaehyeop Choi, Jinhwan Son, Seongho Jung, Yoonju Oh, Chaehyeon Lee, Haejin Lee, Jeongwoo Ju
Top 3.1% in Bengali.AI Handwritten Grapheme Classification (Kaggle) , 2020
Top 3.1% in Bengali.AI Handwritten Grapheme Classification (Kaggle) , 2020
Winner in Traffic Surveillance Workshop and Challenge 2017 in conjunction with CVPR 2017
Winner in Traffic Surveillance Workshop and Challenge 2017 in conjunction with CVPR 2017
Heechul Jung*, Min-Kook Choi*, Jihun Jung, Jin-Hee Lee, Soon Kwon, Woo Young Jung
* equal contribution
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