이범식 사진
직위
부교수
전화번호
7710
비고
실험실
Multimedia Information Processing Lab. R# 8103
연구실
IT융합대학 8층 8105

담당과목

AI프로그래래밍
딥러닝개론
데이터구조
알고리즘

학력

학사: 고려대 전기전자전파공학부
석사: KAIST
박사: KAIST

주요 실적

- MPEG ISO/IEC, ITU-T VCEG H.265/HEVC 및 H.266/VCC 동영상 압축 표준 기술 및 특허 보유

주요 논문

  • J.-Y.Choi and Bumshik Lee*, "Combining Deep Convolutional Neural Networks with Stochastic Ensemble Weight Optimization for Facial Expression Recognition in the Wild", to appear in IEEE Transactions on Multimedia, 2022

Nagaraj Yamanakkanavar and Bumshik Lee*, "MF2-Net: A Multipath Feature Fusion Network for Medical Image Segmentation", Engineering Applications of Artificial Intelligence, 114 (2022), Sep., 2022.
Nagaraj Yamanakkanavar, J.-Y. Choi and Bumshik Lee*, "SM-SegNet: A lightweight Squeeze M-SegNet for tissue segmentation in brain MRI scans", Sensors, 22(14), pp. 1-24, Jul., 2022
Nagaraj Yamanakkanavar, J.-Y. Choi and Bumshik Lee*, "Multiscale and Hierarchical Feature-Aggregation Network for Segmenting Medical Images", Sensors, 22(9), 3440, May, 2022.
Chaitra Dayanandam, J.-Y. Choi and Bumshik Lee*, "A squeeze U-SegNet architecture based on residual convolution for brain MRI segmentation", IEEE Access, vol. 10, pp. 52840-52817, May, 2022.
Nagaraj Yamanakkanavar and Bumshik Lee*, "A novel M-SegNet with global attention CNN architecture for automatic segmentation of brain MRI", Computers in Biology and Medicine, 136 (2021), 104761, Sep., 2021.
Chaitra Dayananda, J.-Y. Choi and Bumshik Lee*, "Multi-scale squeeze U-SegNet with multi global attention for brain MRI segmentation", Sensors, 21(10), 3363, May, 2021.
M. -H. Hyun, Bumshik Lee and Munchurl Kim, "A Novel Rate and Distortion Estimation Method using Particle Filtering based Prediction for Intra-Predictive Coding of Deep Block Partitioning Structures ", IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 2, Feb., 2021.
K.-T. Kim, Bumshik Lee and J.-Y. Choi, "3D-2D deep convolutional neural network (DCNN) cascade for robust video face recognition", Multimedia Tools and Applications, 80, 4023-4036 (2021), Jan., 2021.
M. -H. Hyun, Bumshik Lee and Munchurl Kim, "A Frame-level Constant Bit-Rate Control using Recursive Bayesian Estimation for Versatile Video Coding", vol. 8, pp. 227255-227269, IEEE Access, Dec., 2020.
Sarala Ghimire and Bumshik Lee*, "A Data Integrity Verification Method for Surveillance Video System", Multimedia Tools and Applications, 79, pp. 30163-30185, Nov. 2020.
Bumshik Lee, Nagaraj Yamanakkanavar and J.-Y. Choi, "Automatic Segmentation of Brain MRI using a Novel Patch-wise U-net Deep Architecture ", Plos One, 15(8), Aug. 2020.
Nagaraj Yamanakkanavar and Bumshik Lee*, "Using a patch-wise M-net convolutional neural network for tissue segmentation in brain MRI images", IEEE Access, vol. 8, pp. 120946-120958, Jul. 2020.
Nagaraj Yamanakkanavar, J.-Y. Choi and Bumshik Lee*, "MRI Segmentation and Classification of Human Brain using Deep Learning for Diagnosis of Alzheimer’s Disease: A Survey", Sensors, 20(11), 3243, Jun., 2020.
J.-Y. Choi and Bumshik Lee*, "Combining of multiple deep networks via ensemble generalization loss, based on MRI Images, for Alzheimer’s disease classification", IEEE Signal Processing Letters, vol. 27, no. 1, pp. 206-210, 2020.
J.-Y. Choi and Bumshik Lee*, "Ensemble of deep convolutional neural networks with Gabor face representations for face recognition", IEEE Transactions on Image Processing, vol. 29, no. 1, pp. 3270-3281, 2020.
Sarala Ghimire, J. -Y. Choi and Bumshik Lee*, "Using blockchain for improved video integrity verification," IEEE Transactions on Multimedia, vol. 22. no. 1, pp. 108 - 121, Jan., 2020.
Woonsung Park, Bumshik Lee* and Munchurl Kim, "Fast computation of integer DCT-V, DCT-VIII and DST-VII for video coding" IEEE Transactions on Image Processing, vol. 28, no. 12, pp. 5839-5851, Dec., 2019.
M. A. Malik, J.-Y. Choi, M. Kang and Bumshik Lee*, "Improved majority filtering algorithm for cleaning class label noise in supervised learning", IEICE Transactions on Fundamentals of Electronics, Communications and Computer Science, vol. E102-A, no. 11, pp. 1556-1559, Nov., 2019.
A. Basher, K.-Y. Choi, J.-J. Lee, Bumshik Lee, B. -C. Kim, Kun Ho Lee and Ho Yub Jung, "Hippocampus localization using a two stage ensemble hough convolutional neural network ", IEEE Access, vol. 7, pp. 73436-73447, 2019.
Bumshik Lee, W. Ellahi and J.-Y. Choi, "Using CNN with data permutation scheme for classification of Alzheimer's disease in structural Magnetic Resonance Imaging (sMRI) ", IEICE Transactions on Information and Systems, vol. E102-D, no. 7, pp. 1384 - 1395, Jul., 2019.

국내외활동

수상

- 조선대 백악학술상 (2021)
- International Conference on Next Generation Conference 2021, Paper Paper Award
- 한국지능시스템학회 2021 우수논문상 2건

주요 경력

- University of California, San Diego, Postdoctoral Scholar
- Research Professor, KAIST
- LG Electronics, Advanced Standardization Lab., Principal Engineer

소속학회

- 한국통신학회 이사
- 대한전자공학회 신호처리연구회 이사

관심연구영역

- 인공지능
- 영상처리
- 신호처리

주요연구분야

- 인공지능을 활용한 뇌영상, 치아영상 및 피부 영상 처리, 분류 및 검출
- 인공지능을 활용한 영상 복원, 옛 비디오 복원
- H.266등 차세대 비디오 부호화 표준 알고리즘 개발