Publication

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 Accepted (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%).

Jaemin Na, Heechul Jung, Hyung Jin Chang, and Wonjun Hwang, "FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation", CVPR 2021 (acceptance rate: 23.7%).

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%).

Min-Kook Choi, Jaehyeong Park, Jihun Jung, Heechul Jung, Jin-Hee Lee, Woong Jae Won, Woo Young Jung, Jincheol Kim and Soon Kwon, “Co-occurence matrix analysis-based semi-supervised training for object detection”, IEEE ICIP 2018 (acceptance rate: 47.8%).

Heechul Jung, Jeongwoo Ju, Minju Jung and Junmo Kim, “Less-forgetful Learning in Deep Neural Networks for Domain Expansion in Image Classification”, AAAI 2018, (oral, acceptance rate: 24.6%).

Heechul Jung, Sihaeng Lee, Junho Yim, Sunjeong Park and Junmo Kim, "Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition", ICCV 2015. (acceptance rate: 30.9%) (pdf)

Junho Yim, Heechul Jung, Byeongin Yoo, Changkyu Choi, Dusik Park and Junmo Kim, "Rotating Your Face Using Multi-task Deep Neural Network", CVPR 2015 (acceptance rate: 28%)

Heechul Jung, Jeongwoo Ju and Junmo Kim, "Rigid Motion Segmentation using Randomized Voting", CVPR 2014 (acceptance rate: 29.88% (540/1807)). 

V. Palakonda, J. -M. Kang and H. Jung, "Benchmarking Real-World Many-Objective Problems: A Problem Suite With Baseline Results," in IEEE Access, vol. 12, pp. 49275-49290, 2024, doi: 10.1109/ACCESS.2024.3383916. 

Son, Jinhwan, and Heechul Jung. 2024. "Teacher–Student Model Using Grounding DINO and You Only Look Once for Multi-Sensor-Based Object Detection" Applied Sciences 14, no. 6: 2232. https://doi.org/10.3390/app14062232 

Athul Shibu, Abhishek Kumar, Heechul Jung, and Dong-Gyu Lee "Rewarded Meta-pruning: Meta Learning with Rewards for Channel Pruning," Mathematics, Vol. 11(23), Dec. 2023. 

Vikas Palakonda, Jae-Mo Kang, Heechul Jung, An Effective Ensemble Framework for Many-Objective Optimization based on AdaBoost and K-means Clustering, Expert Systems with Applications, 2023, 120278, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2023.120278.

Ahn , J.; Hong, J.; Ju, J.; Jung, H. Redesigning Embedding Layers for Queries, Keys, and Values in Cross-Covariance Image Transformers. Mathematics 2023, 11, 1933. https://doi.org/10.3390/math11081933 

Ju, J., Oh, H. S., Lee, Y. J., Jung, H., Lee, J. H., Kang, B., ... & Chung, Y. J. (2023). Clean mucosal area detection of gastroenterologists versus artificial intelligence in small bowel capsule endoscopy. Medicine, 102(6), e32883-e32883. 

Lee, Chaehyeon, Jiuk Hong, and Heechul Jung. 2022. "N-Step Pre-Training and Décalcomanie Data Augmentation for Micro-Expression Recognition" Sensors (IF: 3.576), 22, no. 17: 6671. https://doi.org/10.3390/s22176671, 2022.

Palakonda, Vikas, Jae-Mo Kang*, and Heechul Jung*. "An Adaptive Neighborhood based Evolutionary Algorithm with Pivot-Solution based Selection for Multi-and Many-Objective Optimization." Information Sciences (2022). (* co-corresponding author, IF: 8.233, JCR: Top 9.45%)

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. https://doi.org/10.3390/medicina58030397, 2022. (IF: 2.948)

Nilsen, Jacob M., Jun-Hyun Park, Sangseok Yun, Jae-Mo Kang*, and Heechul Jung*. "Competing Miners: A Synergetic Solution for Combining Blockchain and Edge Computing in Unmanned Aerial Vehicle Networks" Applied Sciences 12, no. 5: 2581. https://doi.org/10.3390/app12052581, 2022. (* co-corresponding author) (IF: 2.838)

Ju, Jeongwoo, Heechul Jung, and Junmo Kim, "Extending Contrastive Learning to Unsupervised Redundancy Identification" Applied Sciences 12, no. 4: 2201. https://doi.org/10.3390/app12042201, 2022. (IF: 2.838)

Heechul Jung and Jeongwoo Ju, "Training Data Reduction for Deep Learning-Based Image Classifications using Random Sample Consensus", Journal of Electronic Imaging (IF: 0.829), 2022.

Hong, Jiuk, Chaehyeon Lee, and Heechul Jung, "Late Fusion-Based Video Transformer for Facial Micro-Expression Recognition" Applied Sciences  (IF: 2.838) 12, no. 3: 1169. https://doi.org/10.3390/app12031169, 2022.

Jeongwoo Ju*, Heechul Jung*, Yoonju Oh, and Junmo Kim, "Extending Contrastive Learning to Unsupervised Coreset Selection", IEEE Access (IF: 3.367), 2022.

Tursunboev, J.; Kang, Y.-S.; Huh, S.-B.; Lim, D.-W.; Kang, J.-M.*; Jung, H.* Hierarchical Federated Learning for Edge-Aided Unmanned Aerial Vehicle Networks. Appl. Sci. 2022, 12, 670. doi: 10.3390/app12020670. (* co-corresponding author) (IF: 2.838)

Heechul Jung, Yoonju Oh, Seongho Jeong, Chaehyeon Lee, and Taegyun Jeon, "Contrastive Self-supervised Learning with Smoothed Representation for Remote Sensing", IEEE Geoscience and Remote Sensing Letters (IF: 5.343, JCR: Top 12.07%), Vol. 19, 8010105, 2022.

Jae-Mo Kang, Sangseok Yun, Il-Min Kim, and Heechul Jung, "MSE-Based Joint Transceiver and Passive Beamforming Designs for Intelligent Reflecting Surface-Aided MIMO Systems", IEEE Wireless Communications Letters (IF: 5.282), Accepted, 2021.

Jaehyeop Choi, Chaehyeon Lee, and Heechul Jung, "SalfMix: A Novel Single Image-based Data Augmentation Technique using A Saliency Map", Sensors (IF: 3.576), Volumn 21, Issue 24, 2021.

Guk-Jin Son, Donghoon Kwak, Mi-Kyung Park, Young-Duk Kim*, and Heechul Jung*, "U-Net-Based Foreign Object Detection Method Using Effective Image Acquisition System: A Case of Almond and Green Onion Flake Food Process", Sustainability (IF: 3.251), Volume 13, Issue 24, 2021. (* co-corresponding author)

Heechul Jung, Taegyun Jeon, "Self-supervised Learning with Randomized Layers for Remote Sensing", IET Electronics Letters (IF: 1.314), Pages 249-251, Volume 57, Issue 6, 2021.

Heechul Jung, Jeongwoo Ju, Wonjun Hwang and Junmo Kim, “Refining Background Subtraction using Consistent Motion Detection in Adverse Weather”, Journal of Electronic Imaging, Vol. 28 No. 2, 020501, Mar. 2019 (IF: 0.924 based on JCR 2018). 

Heechul Jung, Jeongwoo Ju and Junmo Kim, “Randomized Voting-Based Rigid-Body Motion Segmentation”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 29, No. 3, pp.698-713, Mar. 2019 (IF: 4.046 based on JCR 2018).

이원규, 박지훈, 이종혁, 정희철, "딥러닝 기반 실내 디자인 인식", 대한임베디드공학회논문지, 2024년 2월

이해진, 정희철, "Bounding Box CutMix와 표준화 거리 기반의 IoU를 통한 재활용품 탐지", 대한임베디드공학회논문지, 2022년 10월

최재협, 이해진, 정창욱, 정희철 , "수술 도구의 세분화와 동작 인식 기능이 탑재된 AI 서비스 개발", 대한임베디드공학회논문지, 제16권 제2호, 2021년 4월

오윤주, 정희철, "Hand-crafted 특징 및 머신 러닝 기반의 은하 이미지 분류 기법 개발", 대한임베디드공학회논문지, 제16권 제1호, 2021년 2월

이채현, 최재협, 정희철, “딥러닝 기반 벵골어 수기 문자 인식 : Kaggle Bengali.AI 대회를 중심으로”, 대한전자공학회논문지, 2020년 9월

정희철, 최민국, 김준광, 권순, 정우영, "대용량 이미지넷 인식을 위한 CNN 기반 Weighted 앙상블 기법", 대한임베디드공학회논문지, 2020년 8월

강산들, 황중원, 정희철, 한동윤, 심성대, 김준모, "지역적, 전역적 특징을 이용한 환경 인식", 한국군사과학기술학회지, 제15권, 제3호, pp. 298~305, 2012년 6월

Hyundong Choi and Heechul Jung, "A GAN Model with Controllable Lesion Generation for Synthetic Capsule Endoscopy Datasets", Neurips Workshop, DGM4H: Deep Generative Model for Health, 2023.

Jae-Keun Lee, Jin-Hee Lee, Joohyun Lee, Heechul Jung, Soon Kwon, "Technical Report for CVPR 2023 Workshop on Argoverse2  3D Object Tracking Competition", CVPR Workshop, WAD: Workshop on Autonomous Driving 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. 

Seongho Jeong and Heechul Jung, "Contrastive Self-supervised Learning via Minimizing Distance between Cosine Similarities of Negative Pair", Neurips Workshop, Self-Supervised Learning: Theory and Practice, 2022.

Jiuk Hong, Chaehyeon Lee, Soyoun Bang, and Heechul Jung, "Fair Comparison between Efficient Attentions", CVPR Workshop, T4V: Transformers for Vision 2022.

Chaehyeon Lee, Junghoon Seo, and Heechul Jung, "Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner", CVPR Workshop, EarthVision: Large Scale Computer Vision for Remote Sensing Imagery 2021.

Min-Kook, Choi and Heechul Jung, "Development of Fast Refinement Detectors on AI Edge Platforms", ICPR 2020 Workshops and Challenges.

Gyeongmoon Lee, Minkook Choi, and Heechul Jung, “DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation”, MIDL 2019 (acceptance rate: 40.2%).

Soon Kwon, Jaehyeong Park, Heechul Jung, Jihun Jung, Min-Kook Choi, 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 in conjunction with 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, 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.

Jonghwan Kim, Heechul Jung, and Jonghoon Lee, "Improved AdaBoost learning for vehicle detection", ICMV 2010.

Heechul Jung and Moongu Jeon, "Enhanced SVD based Watermarking with Genetic Algorithms", LNCS FGCN 2009. (oral presentation)

장범수, 이채현, 이원규, 백나래, 박석래, 윤영노, 정희철, "nnUNet을 활용한 CT 이미지 기반 장기 분할", 한국뇌공학회, 2024.

정성호, 칼쉬예브 산자르, 이철희, 정희철, "딥러닝 기반 정형, 비정형 이미지에서의 결점 검출 성능 분석", 대한임베디드공학회 추계학술대회, 2023.

방소연, 주정우, 정희철, "의료 이미지 인식 향상을 위한 자기 지도 학습 기반 미세 조정 연구", 대한임베디드공학회 추계학술대회, 2023.

이원규, 이종혁, 정희철, "인테리어 추천 서비스를 위한 실내 이미지 의미적 분할 모델", 대한임베디드공학회 춘계학술대회, 2023.

박지훈, 이종혁, 정희철, "딥러닝 CNN 기반 모델을 활용한 실내 디자인 이미지 속성 분류 기법 개발", 대한임베디드공학회 춘계학술대회, 2023.

문효원, 정희철, "딥러닝을 활용한 반려견 탐지 및 행동 분류", 한국통신학회 동계종합학술발표회, 2023.

정성호, 정희철, "Contrastive Self-supervised Learning via Minimizing Distance between Cosine Similarities of Negative Pair", 인공지능학회 하계학술대회, 2022.

홍지욱, 이채현, 방소연, 정희철, "Fair Comparison between Efficient Attentions", 인공지능학회 하계학술대회, 2022. 

이채현, 홍지욱, 정희철, "N-Step Pre-Training and Décalcomanie Data Augmentation for Micro-Expression Recognition", 인공지능학회 하계학술대회, 2022. 

정성호, 정희철, "Analysis of Recycling Trash Object Recognition Performance in Embedded Board Using TensorRT", 대한전자공학회, 2021.

이해진, 정희철, "YOLOv5 기반 재활용품 객체 검출 모델 구현", 대한전자공학회 추계학술대회, 2021.

안재신, 정희철, "SLIT:Shared Layers for Image Transformer", 한국인공지능학회, 2021.

이채현, 전태균, 정희철, Cutmix 기반의 Self-supervised Learning 기법, 대한임베디드공학회 추계학술대회, 2020.

이채현, 정희철, "GridMix Data Augmentation", 한국인공지능학회, 2020.

권순, 박재형, 정희철, 정지훈, 최민국, Iman R. T., 이진희, 원웅재, 김광회, 윤성훈, 김태훈, “영상 기반의 End-to-end 자율주행 알고리즘 개발을 위한 데이터셋 및 평가환경 구축”, 대한전자공학회, 2018.

최민국, 정지훈, 박재형, 정희철, 이진희, 원웅재, 권순, 정우영, “Co-occurrence 행렬 분석기반의 준 지도 학습을 활용한 물체 인식”, 대한임베디드공학회, 2017. 

이진희, 최민국, 정희철, 권순, 정우영, “DeepImage: BCI 기반의 Deep Neural Networks를 이용한 자동 시각 분류 및 영상 생성 프레임워크”, 대한임베디드공학회, 2017.

정희철, 김준광, 이상철, 정우영, 최민국, “Style Transfer 기반 Unsupervised Domain Adaptation”, 대한임베디드공학회, 2017 (수상).

정희철, 최민국, 이진희, 김준광, 권순, 정우영, “Total variation 최대화를 통한 딥러닝 기반 Image- to-Image Translation 향상 기법”, 한국통신학회, 2017

정지훈, 정희철, 정우영, 권순, “CNN 기반 End-to-End 차선 이탈 감지 시스템”, IPIU 2017.

김준광, 정우영, 정희철, 한동석, “영상 클래스 분류 기법을 통한 보행자 검출 기법의 속도향상 방법론”, IPIU 2017.

이시행, 정희철, 김준모, “Haar-like 특징을 사용한 실시간 차선 이탈 감지 알고리즘”, 대한전자공학회, 2016

정희철, 이시행, 김준모, “Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition”, IPIU 2016, (구두발표).

정희철, 김병주, 이형석, 김준모, “Salient Object Detection based on Motion Segmentation”, IPIU 2015 (수상).

정희철, 김준모, “Graph-based Video Segmentation using Motion Information”, IPIU 2013.

김종환, 정희철, 이종훈, “Adaboost Learning Method using Feedback-input”, 대한임베디드공학회 2010.

정희철, 김종환, 이충희, 이종훈, “차량 검출을 위한 Online Self-Training 기법”, 신호처리합동학술대회 2010.

김종환, 정희철, 이종훈, “Adaboost를 이용한 실시간 차량 검출”, 신호처리합동학술대회 2010.

양이화, 노승종, 유정민, 우영권, 변원민, 정희철, 전문구, “스테레오 카메라를 이용한 텍스쳐가 없는 물체 인식”, 한국정보기술학회, 2010.

정희철, 전문구, “유전 알고리즘을 이용한 영상 워터마크 향상 기법”, 신호처리워크샵 2008.

정희철, 채효철, 전문구, “불확정 전송에서의 개체 인증”, 한국통신학회, 2008

오상헌, 황용수, 전태균, 정희철, 변원민, 전문구, “다중의 QoS 제약 조건을 고려한 확률 모델 기반의 멀티캐스트 라우팅 알고리즘”, 한국정보기술학회, 2008.