Publications
[ International Journal ]
Abhimanyu Kumar, Abhishek Kumar, Rammohan Mallipeddi, and Dong-Gyu Lee, "High-density Cluster Core-based K-means Clustering with an Unknown Number of Clusters," Applied Soft Computing, April 2024. (2022-JCR-IF: 8.7, 12/110, Top 10.5%).
Hye-Seong Hong, Abhishek Kumar, and Dong-Gyu Lee, "Robust Unsupervised Domain Adaptation by Retaining Confident Entropy via Edge Concatenation," Expert Systems With Applications, Vol. 238, Part E, March 2024.(SCI, JCR-IF: 8.5, 6/86, Top 6.4%).
Sri Srinivasa Raju M, Saykat Dutta, Rammohan Mallipeddi, Kedar Nath Das, and Dong-Gyu Lee, "A Constrained Multi-Objective Evolutionary Algorithm with Clustering based Weight Vector Adaptation," Swarm and Evolutionary Computation, Vol. 82, Feb. 2024, (2022-JCR-IF: 10.0, 7/111, Top 5.9%)
Satyawant Kumar, Abhishek Kumar, and Dong-Gyu Lee "RSSGLT: Remote Sensing Image Segmentation Network based on Global-Local Transformer," IEEE Geoscience and Remote Sensing Letters, Vol. 21, Nov. 2023. (2022-JCR-IF: 4.8, 10/87, Top 10.9%)
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. (2022-JCR-IF: 2.4, 23/329, Top 6.8%).
Athul Shibu and Dong-Gyu Lee, "EvolveNet: Evolving Networks by Learning Scale of Depth and Width," Mathematics, Vol. 11(16), Aug. 2023. (2022-JCR-IF: 2.4, 23/329, Top 6.8%).
Zhuji Yang, Abhishek Kumar, Rammohan Mallipeddi, and Dong-Gyu Lee, "Spherical Search with Epsilon Constraint and Gradient-based Repair Framework for Constrained Optimization, " Swarm and Evolutionary Computation, Vol. 82, Oct. 2023, (2022-JCR-IF: 10.0, 7/111, Top 5.9%)
Bishal Karmakar, Abhishek Kumar, Rammohan Mallipeddi, and Dong-Gyu Lee, "CMA-ES with Exponential based Multiplicative Covariance Matrix Adaptation for Global Optimization, " Swarm and Evolutionary Computation, Vol. 79, April 2023, (2021-JCR-IF: 10.267, 7/110, Top 5.91%)
Satyawant Kumar, Abhishek Kumar, and Dong-Gyu Lee, "Semantic Segmentation of UAV Images based on Transformer Framework with Context Information, " Mathematics, Vol. 10(24), Dec. 2022. (2021-JCR-IF: 2.592, 21/333, Top 6.1%).
Abhimanyu Kumar*, Abhishek Kumar*, Rammohan Mallipeddi, and Dong-Gyu Lee, "Adaptive Backward/Forward Sweep for Solving Power Flow of Islanded Microgrids," Energies, Vol. 15(24), Dec. 2022. (*Co-first authors, 2021-JCR-IF: 3.252).
Dong-Gyu Lee and Seong-Whan Lee, "Human Interaction Recognition Framework based on Interacting Body Part Attention," Pattern Recognition, Vol. 128, Aug. 2022. (2021-JCR-IF: 8.518, 20/273, Top 7.1%).
Dong-Gyu Lee and Yoon-Ki Kim, "Joint Semantic Understanding with Multi-level Branch for Driving Perception," Applied Sciences, Vol. 12, Mar. 2022. (2020-JCR-IF: 2.679, 38/90, Top 41.7%).
Saykat Dutta, Sri Srinivasa Raju M, Rammohan Mallipeddi, Kedar Nath Das, and Dong-Gye Lee, "A Mating Selection Based on Modified Strengthened Dominance Relation for NSGA-III," Mathematics, Vol. 9, Nov. 2021. (2020-JCR-IF: 2.258, 24/330, Top 7.2%).
Dong-Gyu Lee, "Fast Drivable Areas Estimation with Multi-task Learning for Real-time Autonomous Driving Assistant," Applied Sciences, Vol. 11, Nov. 2021. (2020-JCR-IF: 2.679, 38/90, Top 41.7%).
Jae-Hyeop Choi, Chae-Hyeon Lee, Dong-Gyu Lee, and Heechul Jung, "SalfMix: A Novel Single Image-Based Data Augmentation Technique Using a Saliency Map," Sensors, Vol. 21(24), Dec. 2021. (2020-JCR-IF: 3.576, 14/64, Top 21.1%).
Jung-Jun Kim*, Dong-Gyu Lee*, Jialin Wu, Hong-Gyu Jung, and Seong-Whan Lee, "Visual Question Answering based on Local-Scene-Aware Referring Expression Generation," Neural Networks, Vol. 139, pp.158-167, July 2021. (*Co-first authors, 2020-JCR-IF: 8.050, 25/273, Top 8.9%).
Ye-Ji Kim*, Dong-Gyu Lee*, and Seong-Whan Lee, "Three-Stream Fusion Network for First-Person Interaction Recognition," Pattern Recognition, Vol 103, 107279, July 2020. (*Co-first Authors, 2019-JCR-IF: 7.196, 18/266, Top 6.7%).
Dong-Gyu Lee and Seong-Whan Lee, “Prediction of Partially Observed Human Activity based on Pre-trained Deep Representation,” Pattern Recognition, Vol. 85, pp. 198-206, Jan. 2019. (2019-JCR-IF: 7.196, 18/266, Top 6.7%).
Pil-Soo Kim, Dong-Gyu Lee, and Seong-Whan Lee, “Discriminative Context Learning with Gated Recurrent Unit for Group Activity Recognition,” Pattern Recognition, Vol. 76, pp. 149-161, April 2018. (2019-JCR-IF: 7.196, 18/266, Top 6.7%).
Dong-Gyu Lee, Heung-Il Suk, Sung-Kee Park and Seong-Whan Lee, “Motion Influence Map for Unusual Human Activity Detection and Localization in Crowded Scenes,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 25, Issue 10, pp. 1612-1623, 28 Jan. 2015. (2019-JCR-IF: 4.133, 50/266, Top 18.6%).
[ International Conference ]
Jong-Bin Chae and Dong-Gyu Lee, "A Similarity-based Training Strategy with Network-level Perturbation for Semi-supervised Semantic Segmentation," International Conference on Pattern Recognition and Artificial Intelligence, Jeju ICC, Korea, July 3-6, 2024.
Jeong-Cheol Lee, Athul Shibu, and Dong-Gyu Lee, "Adaptive Margin-based Contrastive Network for Generalized Zero-Shot Learning," IEEE 41st International Conference on Consumer Electronics, Las Vegas, USA, Jan. 6-8, 2023.
Satyawant Kumar, Abhishek Kumar, and Dong-Gyu Lee, "Encoder-Decoder based Segmentation Model for UAV Street Scene Images," IEEE 41st International Conference on Consumer Electronics, Las Vegas, USA, Jan. 6-8, 2023.
Dong-Gyu Lee and Dong-Ok Won, "Spatio-temporal Weight of Active Region for Human Activity Recognition," Proc. 6th IAPR/IEEE Asian Conference on Pattern Recognition(ACPR), Jeju, Korea, Nov. 9-12, 2021.
Ye-Ji Kim, Dong-Gyu Lee, and Seong-Whan Lee, “First-Person Activity Recognition Based on Three-Stream Deep Features,” Proc. 18th IEEE International Conference on Control, Automation and Systems(ICCAS), PyeongChang, Korea, Oct. 17-20, 2018. (Oral Presentation)
Dong-Gyu Lee, Pil-Soo Kim, and Seong-Whan Lee, “Local Group Relationship Analysis for Group Activity Recognition,” Proc. 17th IEEE International Conference on Control, Automation and Systems(ICCAS), Jeju, Korea, Oct. 17-19, 2017. (Oral Presentation)
Dong-Gyu Lee and Seong-Whan Lee, “Human Activity Prediction based on Sub-volume Relationship Descriptor,” Proc. 23rd IAPR/IEEE International Conference on Pattern Recognition(ICPR), Mexico, Cancun, Dec. 4-8, 2016.
Dong-Gyu Lee, Heung-Il Suk, and Seong-Whan Lee, “Modeling Crowd Motions for Abnormal Activity Detection,” Proc. 11th IEEE International Conference on Advanced Videos and Signal Based Surveillance(AVSS), Seoul, Korea, Aug. 26-29, 2014. F-17
Dong-Gyu Lee, Heung-Il Suk, and Seong-Whan Lee, “Crowd Behavior Representation Using Motion Influence Matrix for Anomaly Detection” Proc. 2nd IAPR/IEEE Asian Conference on Pattern Recognition(ACPR), Okinawa, Japan, Nov., 2013. (Oral Presentation)
[ Domestic ]
[KCI] 정영한, 이동규, "공공기관 구내식당 식수 예측 모델개발 및 변수 선정 연구," KIISE Transactions on Computing Practice, Vol. 30, No. 4, 2024. 04.
이정철, 이동규, "범주 텍스트 기반 개방형 어휘 의미론적 분할," 2024 영상처리 및 이해에 관한 워크샵(IPIU), 2024년 1월 31일 - 2월 2일.
채종빈, 이동규, "준지도학습 기반 의미론적 분할 프레임워크," 2024 영상처리 및 이해에 관한 워크샵(IPIU), 2024년 1월 31일 - 2월 2일.
Athul Shibu, Dong-Gyu Lee, "Learning Scale of Depth and Width for Network Evolution," 2023 한국컴퓨터종합학술대회(KCC), 2023년 6월 17일 - 6월 20일.
정영한, 홍혜성, 이정철, 이동규, "효율적인 집단식사 서비스 제공을 위한 공공기관 구내식당 실데이터 기반의 식수 예측 기계학습 모델연구,"2023 한국컴퓨터종합학술대회(KCC), 2023년 6월 17일 - 6월 20일. (우수발표논문상)
홍혜성, 이동규, "의미론적 영상분할을 위한 강화된 엔트로피 비지도학습 도메인 적응 방법," 2022 한국소프트웨어종합학술대회(KSC), 2022년 12월. (우수논문상)
이정철, 이동규, "Zero-Shot 이미지 분류를 위한 Transferable Contrastive Network에 관한 연구," 제 3회 한국 인공지능 학술대회(KAIC), 2022년 9월.
Satyawant Kumar, Dong-Gyu Lee, "Semantic Segmentation Model for UAV Remote Sensing Images," 2022 한국뇌공학회 하계 Workshop, 2022년 6월 27일 - 6월 29일.
Athul Shibu, Dong-Gyu Lee, "Learning to Weight Prune Convolutional Neural Networks," 2022 한국뇌공학회 하계 Workshop, 2022년 6월 27일 - 6월 29일.
박재현, 최우제, 전세호, 이동규, "금속 표면 결함 탐지 및 영상 분할을 위한 딥러닝 기반의 다중 클래스 결함 학습," 제 2회 한국 인공지능 학술대회(KAIC), 2021년 9월.
김필수, 이동규, 이성환, “순환 신경망을 이용한 궤적 기반의 단체 행동 인식,” 2016 정보과학회 동계학술대회, 2016년 12월. (우수논문상)
황영태, 이동규, 이성환, “3차원 콘볼루션 신경망을 이용한 인간 행동의 시간 분할 및 인식,” 제42회 정기총회 및 동계학술 발표회, 2015년 12월.
이동규, 석흥일, 이성환, “적응적 광류 필터링에 기반한 군중 영상에서 이상 행동 검출”, 26회 영상처리 및 이해에 관한 워크샵, 2014년 2월11일 – 2월13일, P-142.
이동규, 이성환, “Crowd Behavior Representation for Anomaly Detection," 2013 뇌와 인공지능 심포지엄, Feb. 20-21, 2013, PS-18.
이동규, 이성환, “군중 영상에서의 비정상 행동 검출을 위한 움직임 영향력 지도”, 2012 한국인지과학회 춘계학술대회논문집, 2012년 6월, pp. 97.
[ Patent ]
이동규, 홍혜성, 이정철 "비디오 영상 내 인간과 객체 간의 상호 작용을 분석 및 학습하여 인간 행동 의도를 추론하는 영상 분석 장치 및 영상 분석 방법," 출원번호: 10-2023-0137064, 2023.07.22.
이동규, 홍혜성"비지도 도메인 적응 학습 기반 객체 종류 및 윤곽정보를 활용한 영상 분할 방법," 출원번호: 10-2023-0044603, 2023.04.05.
이동규, "다중작업 학습기반의 교통객체 탐지, 주행가능영역 추정 및 차선 분할을 위한 영상 데이터 처리 장치 및 방법," 출원번호: 10-2022-0186621, 2022.12.28.
이동규, 이성환, “객체에 대한 이상 행동 예측 장치 및 이를 이용한 이상 행동 예측 방법,” 등록번호: 10-1720781, 2017.03.22.
이동규, 이상준, 이성환, “행동 패턴 인식 장치, 행동 패턴 인식 방법 및 행동 패턴 분류기 생성 방법,” 등록번호: 10-1872811, 2018.06.25.
[ S/W registered]
이동규, 홍혜성 "비지도 학습 도메인 적응 의미론적 영상 분할 ," 등록번호: C-2023-060159, 2023.12.14.
이동규, 이정철 "확장된 텍스트 기반 제로-샷 행동 인식," 등록번호: C-2023-060158, 2023.12.14.