Követés
Dae Hoe Kim
Dae Hoe Kim
Ph.D course student of Electrical Engineering, Korea Advanced Institutes and Science Technology
E-mail megerősítve itt: kaist.ac.kr
Cím
Hivatkozott rá
Hivatkozott rá
Év
Multi-objective based spatio-temporal feature representation learning robust to expression intensity variations for facial expression recognition
DH Kim, WJ Baddar, J Jang, YM Ro
IEEE Transactions on Affective Computing 10 (2), 223-236, 2017
2912017
Micro-expression recognition with expression-state constrained spatio-temporal feature representations
DH Kim, WJ Baddar, YM Ro
Proceedings of the 24th ACM international conference on Multimedia, 382-386, 2016
2212016
Latent feature representation with 3-D multi-view deep convolutional neural network for bilateral analysis in digital breast tomosynthesis
DH Kim, ST Kim, YM Ro
2016 IEEE international conference on acoustics, speech and signal …, 2016
682016
Classifier ensemble generation and selection with multiple feature representations for classification applications in computer-aided detection and diagnosis on mammography
JY Choi, DH Kim, KN Plataniotis, YM Ro
Expert Systems with Applications 46, 106-121, 2016
632016
Latent feature representation with depth directional long-term recurrent learning for breast masses in digital breast tomosynthesis
DH Kim, ST Kim, JM Chang, YM Ro
Physics in Medicine & Biology 62 (3), 1009, 2017
222017
A deep facial landmarks detection with facial contour and facial components constraint
WJ Baddar, J Son, DH Kim, ST Kim, YM Ro
2016 IEEE International Conference on Image Processing (ICIP), 3209-3213, 2016
222016
Apparatus and method for estimating malignant tumor
CH Choi, YM Ro, OH Dokwan, D Kim, JY Choi, W Han
US Patent 9,282,929, 2016
222016
Computer-aided detection (CAD) of breast masses in mammography: combined detection and ensemble classification
JY Choi, DH Kim, KN Plataniotis, YM Ro
Physics in Medicine & Biology 59 (14), 3697, 2014
222014
Cipf: Crossing intention prediction network based on feature fusion modules for improving pedestrian safety
JS Ham, DH Kim, NK Jung, J Moon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
202023
Akvsr: Audio knowledge empowered visual speech recognition by compressing audio knowledge of a pretrained model
JH Yeo, M Kim, J Choi, DH Kim, YM Ro
IEEE Transactions on Multimedia, 2024
182024
Facial dynamic modelling using long short-term memory network: Analysis and application to face authentication
ST Kim, DH Kim, YM Ro
2016 IEEE 8th International Conference on Biometrics Theory, Applications …, 2016
172016
Spatio-temporal representation for face authentication by using multi-task learning with human attributes
ST Kim, DH Kim, YM Ro
2016 IEEE International Conference on Image Processing (ICIP), 2996-3000, 2016
162016
Breast mass detection using slice conspicuity in 3D reconstructed digital breast volumes
ST Kim, DH Kim, YM Ro
Physics in Medicine & Biology 59 (17), 5003, 2014
162014
Mass type-specific sparse representation for mass classification in computer-aided detection on mammograms
DH Kim, SH Lee, YM Ro
Biomedical engineering online 12, 1-13, 2013
162013
Learning features robust to image variations with siamese networks for facial expression recognition
WJ Baddar, DH Kim, YM Ro
MultiMedia Modeling: 23rd International Conference, MMM 2017, Reykjavik …, 2017
152017
Combining multiresolution local binary pattern texture analysis and variable selection strategy applied to computer-aided detection of breast masses on mammograms
JY Choi, DH Kim, YM Ro
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and …, 2012
152012
Region based stellate features combined with variable selection using AdaBoost learning in mammographic computer-aided detection
DH Kim, JY Choi, YM Ro
Computers in Biology and Medicine 63, 238-250, 2015
132015
Generation of conspicuity-improved synthetic image from digital breast tomosynthesis
ST Kim, DH Kim, YM Ro
2014 19th International Conference on Digital Signal Processing, 395-399, 2014
122014
Mammographic enhancement with combining local statistical measures and sliding band filter for improved mass segmentation in mammograms
DH Kim, JY Choi, SH Choi, YM Ro
Medical Imaging 2012: Computer-Aided Diagnosis 8315, 581-586, 2012
122012
Combining multiple feature representations and AdaBoost ensemble learning for reducing false-positive detections in computer-aided detection of masses on mammograms
JY Choi, DH Kim, KN Plataniotis, YM Ro
2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012
102012
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Cikkek 1–20