PMI Lab HUFS · 컴퓨터공학부

논문 · 특허 43

연도
20252건

  1. Kyeong Tae Kim, and Jae Young Choi. Triple-branch Attention Network with Multiscale Facial Region Feature Selection for Facial Emotion Recognition. PATTERN RECOGNITION**, vol. 170, Feb., 2025. (SCI, IF: 7.9, Top 3%)

  2. A Yeong Han, Kwang Moo Yi, Kyeong Tae Kim, and Jae Young Choi. Hierarchical Feature Attention Learning Network for Detecting Object and Discriminative Parts in Fine-Grained Visual Classification. IEEE ACCESS, 2025. (Early Access) (SCIE, IF: 3.4)

20232건

  1. Min Ho Kwak, Youngwoo Kim, Kangin Lee, and Jae Young Choi. Convolution Block Feature Addition Module (CBFAM) for Lightweight and Fast Object Detection on Non-GPU Devices. IEICE TRANSACTIONS on Information and Systems, Vol.E106-D,No.5,May. 2023.

  2. Jae Young Choi and Bumshik Lee. Combining Deep Convolutional Neural Networks with Stochastic Ensemble Weight Optimization for Facial Expression Recognition in the Wild. IEEE Trans. on Multimedia, vol. 25, pp. 100-111, Jan., 2023. (SCI, IF: 6.513)

20223건

  1. Nagaraj Yamanakkanavar, Jae Young Choi, Bumshik Lee. SM-SegNet: A lightweight Squeeze M-SegNet for tissue segmentation in brain MRI. Sensors, July, 2022 (In publish).

  2. Chaitra Dayananda, Jae Young Choi, Bumshik Lee. A Squeeze U-SegNet Architecture Based on Residual Convolution for Brain MRI Segmentation. IEEE Access, vol. 10, pp. 52804-52817, 16th May, 2022.

  3. Nagaraj Yamanakkanavar, Jae Young Choi, Bumshik Lee. Using a multiscale and hierarchical feature-aggregation network for the segmentation of medical images. Sensors, May, 2022 (In publish).

20213건

  1. Chaitra Dayananda, Jae Young Choi and Bumshik Lee. Multi-Scale Squeeze U-SegNet with Multi Global Attention for Brain MRI Segmentation. Sensors, vol. 21, no. 10, May, 2021. (SCIE, IF: 3.576)

  2. Song-Hee Kang, Youngjin Choi, and Jae Young Choi. Restoration of Missing Patterns on Satellite Infrared Sea Surface Temperature Images Due to Cloud Coverage Using Deep Generative Inpainting Network. Journal of Marine Science and Engineering, vol. 9, no. 3, pp. 1-19, March, 2021. (SCIE, IF: 2.458)

  3. Kyeong Tae Kim, Bumshik Lee, and Jae Young Choi. 3D-2D deep convolutional neural Networks (DCNN) Cascade for robust video face identification. Multimedia Tools and Applications, vol. 80, pp. 4023-4036, 2021. (SCIE, IF: 2.757)

20205건

  1. Jae Young Choi and Bumshik Lee. Ensemble of Deep Convolutional Neural Networks with Gabor Face Representations for Face Recognition. IEEE Trans. on Image Processing, vol. 29, pp. 3270-3281, Jan., 2020. (SCI, IF: 10.856, Citation: 18)

  2. Jae Young 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, pp. 206-210, Jan., 2020 (SCI, IF: 3.268, Citation: 13)

  3. Nagaraj Yamanakkanavar, Jae Young Choi, and Bumshik Lee. MRI Segmentation and Classification of Human Brain Using Deep Learning for Diagnosis of Alzheimer’s Disease: A Survey. Sensors, vol. 20, no. 11, pp. 1-28, Jun, 2020. (SCIE, IF: 3.576, Citation: 37)

  4. Bumshik Lee, Nagaraj Yamanakkanavar, and Jae Young Choi. Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture. PLOS ONE, vol. 16, no. 1, pp. 1-20, Aug., 2020. (SCIE, IF: 3.24, Citation: 21)

  5. Sarala Ghimire, Jae Young Choi, and Bumshik Lee. Using Blockchain for Improved Video Integrity Verification. IEEE Trans. on Multimedia, vol. 22, no. 1, pp. 108-121, Jan., 2020. (SCI, IF: 6.513, Citation: 22)

20194건

  1. Jae Young Choi and Bumshik Lee. Combining LSTM Network Ensemble via Adaptive Weighting for Improved Time Series Forecasting. Mathematical Problem in Engineering, vol. 2018, no. 2470171, pp. 1-8, Aug., 2019. (SCIE, IF: 1.305, Citation: 108)

  2. Jae Young Choi. Weighted fusion joint bayesian metric with patch-based facial region-specific features for face identification. Multimedia Tools and Applications, vol. 78, no. 17, pp. 24883-24092, Sep., 2019. (SCIE, IF: 2.757)

  3. Muhammad Ammar Malik, Jae Young Choi, Moonsoo Kang, and Bumshik Lee. Improved Majority Filtering Algorithm for Cleaning Class Label Noise in Supervised Learning. IEICE Trans. Fundamentals, vol. E102-A, no. 11, pp. 1556-1559, Nov., 2019. (SCIE, IF: 0.50)

  4. Bumshik Lee, Waqas ELLAHI, and Jae Young Choi. Using Deep CNN with Data Permutation Scheme for Classification of Alzheimer’s Disease in Structural Magnetic Resonance Imaging (sMRI). IEICE Trans. Information and Systems, vol. E102-D, no. 7, pp. 1384-1395, July, 2019. (SCIE, IF: 0.84)

20184건

  1. Bumshik Lee and Jae Young Choi. A Rate Perceptual-Distortion Optimized Video Coding HEVC. IEICE Trans. Information and Systems, vol. E101-D, no. 12, pp. 3158-3169, Dec., 2018. (SCIE, IF: 0.84)

  2. Jae Young Choi. Spatial pyramid face feature representation and weighted dissimilarity matching for improved face recognition. The Visual Computer, vol. 34, no. 11, pp. 1535-1549, Nov., 2018. (SCIE, IF: 2.601, Citation: 6)

  3. Youngjin Choi, Hyeong-Gu Choe, Jae Young Choi, Kyeong Tae Kim, Jong-Beom Kim. Automatic Sea Fog Detection and Estimation of Visibility Distance on CCTV. Journal of Coastal Research, vol. 85, no. 10085, pp. 881-885, May, 2018. (SCIE, IF: 0.854)

  4. Jae Young Choi. Color Compensation via Color-Flow Representation and Eigenspace Manifold Learning for Robust Color-Invariant Face Recognition. Multidimensional Systems and Signal Processing, vol. 29, no. 01, pp. 77-97, Jan., 2018. (SCI, IF: 2.10)

20171건

  1. Jae Young Choi. Improved deep face identification with multi-class pairwise discriminant loss. Electronics Letters, vol. 53, no. 20, pp. 1356-97, Sept., 2017. (SCI, IF: 1.314)

20163건

  1. Jae Young Choi. Feature subspace estimation for resolving dimensionality mismatch in practical color-based face recognition systems. International Journal of Pattern Recognition and Artificial Intelligence, vol. 30, no. 04, pp. (1656004-1)-(1656004-24), April, 2016. (SCI, IF: 1.60)

  2. Hyungil Kim, Jae Young Choi, Seung-Ho Lee, and Yong Man Ro. Feature Scalability for a Low Complexity Face Recognition with Unconstrained Spatial Resolution. Multimedia Tools and Applications, vol. 75, no. 12, pp. 6887-6908, Jun, 2016. (SCIE, IF: 2.757)

  3. Jae Young Choi, Dae Hoe Kim, Konstantinos N. Plataniotis, and Yong Man Ro. Classifier Ensemble Generation and Selection with Multiple Feature Representations for Classification Applications in Computer-Aided Detection and Diagnosis on Mammography. Expert Systems with Applications, vol. 46, no. 15, Mar., pp. 106-121, 2016. (SCI, IF: 6.954, Citation: 56)

20151건

  1. Dae Hoe Kim, Jae Young Choi, and Yong Man Ro. Region Based Stellate Features Combined with Variable Selection Using AdaBoost Learning in Mammographic Computer-aided Detection. Computers in biology and medicine, vol. 63, no. 3, pp. 238-250, Aug., 2015. (SCI, IF: 4.589)

20142건

  1. Se Min Kim, Jae Young Choi, Seungwan Han, and Yong Man Ro. Weighted adaptive fusion of spatial and temporal modalities for video copy detection. Signal Processing: Image Communication, vol. 29, no. 7, pp. 788-806, Aug., 2014. (SCI, IF: 4.17, Citation: 25)

  2. Jae Young Choi, Dae Hoe Kim, Konstantinos N. Plataniotis, and Yong Man Ro. Computer-Aided Detection (CAD) of Breast Masses in Mammography: Combined Detection and Ensemble Classification. Physics in Medicine and Biology, vol. 59, no. 10, pp. 3697-3719, June, 2014. (SCI, IF: 3.609, Citation: 20)

20131건

  1. Jae Hyun Jeon, Jae Young Choi, Sihyung Lee, and Yong Man Ro. Multiple ROI Selection Based Focal Liver Lesion Classification in Ultrasound Images. Expert Systems with Applications, vol. 40, no. 2, pp. 450-457, Feb., 2013. (SCI, IF: 6.954, Citation: 42)

20125건

  1. Jae Young Choi and Yong Man Ro. Multiresolution Local Binary Pattern Texture Analysis Combined with Variable Selection for an Application to False Positive Reduction in Computer-Aided Detection of Breast Masses on Mammograms. Physics in Medicine and Biology, vol. 57, no. 21, pp. 7029-7052, Oct., 2012. (SCI, IF: 3.609, Citation: 42)

  2. Jae Young Choi, Konstantinos N. Plataniotis, and Yong Man Ro. Face Feature Weighted Fusion Based Fuzzy Membership Degree for Video Face Recognition. IEEE Trans. on Systems. Man and Cybernetics- Part B., vol. 42, no. 4, pp. 1270-1282, Aug., 2012. (SCI, IF: 11.448, Citation: 25)

  3. Hyun-seok Min, Jae Young Choi, Wesley De Neve, and Yong Man Ro. Near-Duplicate Video Clip Detection Using Model-Free Semantic Concept Detection and Adaptive Semantic Distance Measurement. IEEE Trans. on Circuits and Systems for Video Technology, vol. 22, no. 8, pp. 1174-1187, Aug., 2012. (SCI, IF: 6.01, Citation: 18)

  4. Seung-Ho Lee, Jae Young Choi, Yong Man Ro, and Konstantinos N. Plataniotis. Local Color Vector Binary Patterns From Multichannel Face Images for Face Recognition. IEEE Trans. on Image Processing, vol. 21, no. 4, pp. 2347-2353, April, 2012. (SCI, IF: 10.856, Citation: 151)

  5. Jae Young Choi, Yong Man Ro, and Konstantinos N. Plataniotis. Color Local Texture Features for Color Face Recognition. IEEE Trans. on Image Processing, vol. 21, no. 3, pp. 1366-1380, March, 2012. (SCI, IF: 10.856, Citation: 184)

20114건

  1. Hyun-seok Min, Jae Young Choi, Wesley De Neve, and Yong Man Ro. Bimodal Fusion of Low-level Visual Features and High-Level Semantic Features for Near-duplicate Video Clip Detection. Signal Processing: Image Communication, vol. 26, no. 10, pp. 612-627, Nov., 2011. (SCI, IF: 4.17, Citation: 11)

  2. Jae Young Choi, Yong Man Ro, and Konstantinos N. Plataniotis. Boosting Color Feature Selection for Color Face Recognition. IEEE Trans. on Image Processing, vol. 20, no. 5, pp. 1425-1434, May, 2011. (SCI, IF: 10.856, Citation: 83)

  3. Jae Young Choi, Wesley De Neve, Konstantinos N. Plataniotis, Yong Man Ro. Collaborative Face Recognition for Improved Face Annotation in Personal Photo Collections Shared on Online Social Networks. IEEE Trans. on Multimedia, vol. 13, no. 1, pp. 14-28, Feb., 2011. (SCI, IF: 6.513, Citation: 131)

  4. Jae Young Choi, Yong Man Ro, and Konstantinos N. Plataniotis. A Comparative Study of Preprocessing Mismatch Effects in Color Image Based Face Recognition. Pattern Recognition, vol. 44, no. 2, pp. 412-430, Feb., 2011. (SCI, IF: 7.74, Citation: 44)

20102건

  1. Jae Young Choi, Wesley De Neve, Yong Man Ro, Konstantinos N. Plataniotis. Automatic Face Annotation in Personal Photo Collections Using Context-Based Unsupervised Clustering and Face Information Fusion. IEEE Trans. on Circuits and Systems for Video Technology, vol. 20, no. 10, pp. 1292-1309, Oct., 2010. (SCI, IF: 6.01, Citation: 39)

  2. Jae Young Choi, Wesley De Neve, Yong Man Ro. Towards an Automatic Face Indexing System for Actor-based Video Services in an IPTV Environment. IEEE Trans. on Consumer Electronics, vol. 56. no. 1, pp. 147-155, Feb., 2010. (SCIE, IF: 2.74, Citation: 32)

20091건

  1. Jae Young Choi, Yong Man Ro, and Konstantinos N. Plataniotis. Color Face Recognition for Degraded Face Images. IEEE Trans. on Systems. Man and Cybernetics- Part B, vol. 39, no. 5, pp. 1217-1230, Oct., 2009. (SCI, IF: 11.448)