Dae Hoe Kim

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 12

Top Topics

Expression Recognition

Feature Representations

Digitized Mammograms

Region Matching

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Jeong Hun Yeo, Minsu Kim, Jeongsoo Choi, Dae Hoe Kim, Yong Man Ro
AKVSR: Audio Knowledge Empowered Visual Speech Recognition by Compressing Audio Knowledge of a Pretrained Model. IEEE Trans. Multim. 26 (2024)
Jeong Hun Yeo, Minsu Kim, Jeongsoo Choi, Dae Hoe Kim, Yong Man Ro
AKVSR: Audio Knowledge Empowered Visual Speech Recognition by Compressing Audio Knowledge of a Pretrained Model. CoRR (2023)
Je-Seok Ham, Dae Hoe Kim, NamKyo Jung, Jinyoung Moon
CIPF: Crossing Intention Prediction Network based on Feature Fusion Modules for Improving Pedestrian Safety. CVPR Workshops (2023)
Dae Hoe Kim, Wissam J. Baddar, Jinhyeok Jang, Yong Man Ro
Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition. IEEE Trans. Affect. Comput. 10 (2) (2019)
Wissam J. Baddar, Dae Hoe Kim, Yong Man Ro
Learning Features Robust to Image Variations with Siamese Networks for Facial Expression Recognition. MMM (1) (2017)
Jinhyeok Jang, Dae Hoe Kim, Hyungil Kim, Yong Man Ro
Color channel-wise recurrent learning for facial expression recognition. ICASSP (2017)
Jae Young Choi, Dae Hoe Kim, Konstantinos N. Plataniotis, Yong Man Ro
Classifier ensemble generation and selection with multiple feature representations for classification applications in computer-aided detection and diagnosis on mammography. Expert Syst. Appl. 46 (2016)
Wissam J. Baddar, Jisoo Son, Dae Hoe Kim, Seong-Tae Kim, Yong Man Ro
A deep facial landmarks detection with facial contour and facial components constraint. ICIP (2016)
Dae Hoe Kim, Seong-Tae Kim, Yong Man Ro
Latent feature representation with 3-D multi-view deep convolutional neural network for bilateral analysis in digital breast tomosynthesis. ICASSP (2016)
Seong-Tae Kim, Dae Hoe Kim, Yong Man Ro
Facial dynamic modelling using long short-term memory network: Analysis and application to face authentication. BTAS (2016)
Dae Hoe Kim, Wissam J. Baddar, Yong Man Ro
Micro-Expression Recognition with Expression-State Constrained Spatio-Temporal Feature Representations. ACM Multimedia (2016)
Seong-Tae Kim, Dae Hoe Kim, Yong Man Ro
Spatio-temporal representation for face authentication by using multi-task learning with human attributes. ICIP (2016)
Wissam J. Baddar, Eun Joon Kim, Dae Hoe Kim, Yong Man Ro
Utilizing digital breast tomosynthesis projection views correlation for microcalcification enhancement for detection purposes. Medical Imaging: Computer-Aided Diagnosis (2015)
Seong Tae Kim, Dae Hoe Kim, Yong Man Ro
Combination of conspicuity improved synthetic mammograms and digital breast tomosynthesis: a promising approach for mass detection. Medical Imaging: Computer-Aided Diagnosis (2015)
Jeong-Jik Seo, Wissam J. Baddar, Dae Hoe Kim, Yong Man Ro
Human action recognition using time-invariant key-trajectories describing spatio-temporal salient motion. ICIP (2015)
Dae Hoe Kim, Seong Tae Kim, Yong Man Ro
Feature extraction from inter-view similarity of DBT projection views. Medical Imaging: Computer-Aided Diagnosis (2015)
Dae Hoe Kim, Jae Young Choi, Yong Man Ro
Region based stellate features combined with variable selection using AdaBoost learning in mammographic computer-aided detection. Comput. Biol. Medicine 63 (2015)
Dae Hoe Kim, Seong-Tae Kim, Wissam J. Baddar, Yong Man Ro
Feature extraction from bilateral dissimilarity in digital breast tomosynthesis reconstructed volume. ICIP (2015)
Seong-Tae Kim, Dae Hoe Kim, Dong Jin Ji, Yong Man Ro
Region matching based on local structure information in ipsilateral digital breast tomosynthesis views. ICIP (2015)
Dae Hoe Kim, Konstantinos N. Plataniotis, Yong Man Ro
Level-set based free fluid segmentation with improved initialization using region growing in 3D ultrasound sonography. Medical Imaging: Computer-Aided Diagnosis (2014)
Seong-Tae Kim, Dae Hoe Kim, Eun Suk Cha, Yong Man Ro
Mass detection based on pooled mass probability map of 3D reconstructed slices in digital breast tomosynthesis. BHI (2014)
Eun Joon Kim, Dae Hoe Kim, Eun Suk Cha, Yong Man Ro
Improvement of subtle microcalcifications detection in DBT slices. BHI (2014)
Wissam J. Baddar, Dae Hoe Kim, Yong Man Ro
Breast tissue removal for enhancing microcalcification cluster detection in mammograms. BHI (2014)
Seong-Tae Kim, Dae Hoe Kim, Yong Man Ro
Generation of conspicuity-improved synthetic image from digital breast tomosynthesis. DSP (2014)
Dae Hoe Kim, Jae Young Choi, Yong Man Ro
Boosting framework for mammographic mass classification with combination of CC and MLO view information. Medical Imaging: Computer-Aided Diagnosis (2013)
Dae Hoe Kim, Konstantinos N. Plataniotis, Yong Man Ro
Denoising 3D ultrasound volumes using sparse representation. EMBC (2013)
Seung Hyun Lee, Dae Hoe Kim, Jae Young Choi, Yong Man Ro
Improving positive predictive value in computer-aided diagnosis using mammographic mass and microcalcification confidence score fusion based on co-location information. Medical Imaging: Computer-Aided Diagnosis (2013)
Jae Young Choi, Dae Hoe Kim, Yong Man Ro
Combining multiresolution local binary pattern texture analysis and variable selection strategy applied to computer-aided detection of breast masses on mammograms. BHI (2012)
Jae Young Choi, Dae Hoe Kim, Konstantinos N. Plataniotis, Yong Man Ro
Combining multiple feature representations and AdaBoost ensemble learning for reducing false-positive detections in Computer-aided Detection of masses on mammograms. EMBC (2012)
Dae Hoe Kim, Jae Young Choi, Yong Man Ro
Region based stellate features for classification of mammographic spiculated lesions in computer-aided detection. ICIP (2012)
Dae Hoe Kim, Jae Young Choi, Yong Man Ro
A novel mammographic mass detection approach to combining suprevised and unsuprevised detection algorithms. ICIP (2012)
Jae Young Choi, Dae Hoe Kim, Seon Hyeong Choi, Yong Man Ro
Multiresolution Local Binary Pattern texture analysis for false positive reduction in computerized detection of breast masses on mammograms. Medical Imaging: Computer-Aided Diagnosis (2012)
Dae Hoe Kim, Jae Young Choi, Seon Hyeong Choi, Yong Man Ro
Mammographic enhancement with combining local statistical measures and sliding band filter for improved mass segmentation in mammograms. Medical Imaging: Computer-Aided Diagnosis (2012)