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Journal Articles

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2024
[j4]
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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: 6462-6474 (2024)
2019
[j3]
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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): 223-236 (2019)
2016
[j2]
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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: 106-121 (2016)
2015
[j1]
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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: 238-250 (2015)

Conference and Workshop Papers

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2024
[c29]
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Dae Hoe Kim, Jinyoung Moon:
PedRiskNet: Classifying Pedestrian Situations in Surveillance Videos for Pedestrian Safety Monitoring in Smart Cities. AVSS 2024: 1-7
2023
[c28]
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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: 3666-3675
2017
[c27]
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Jinhyeok Jang, Dae Hoe Kim, Hyungil Kim, Yong Man Ro:
Color channel-wise recurrent learning for facial expression recognition. ICASSP 2017: 1233-1237
[c26]
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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: 189-200
2016
[c25]
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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: 1-6
[c24]
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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: 927-931
[c23]
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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: 2996-3000
[c22]
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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: 3209-3213
[c21]
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Dae Hoe Kim, Wissam J. Baddar, Yong Man Ro:
Micro-Expression Recognition with Expression-State Constrained Spatio-Temporal Feature Representations. ACM Multimedia 2016: 382-386
2015
[c20]
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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: 252-256
[c19]
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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: 586-590
[c18]
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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: 4521-4524
[c17]
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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: 941419
[c16]
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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: 941421
[c15]
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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: 941425
2014
[c14]
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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: 57-60
[c13]
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Eun Joon Kim, Dae Hoe Kim, Eun Suk Cha, Yong Man Ro:
Improvement of subtle microcalcifications detection in DBT slices. BHI 2014: 322-325
[c12]
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Wissam J. Baddar, Dae Hoe Kim, Yong Man Ro:
Breast tissue removal for enhancing microcalcification cluster detection in mammograms. BHI 2014: 363-366
[c11]
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Seong-Tae Kim, Dae Hoe Kim, Yong Man Ro:
Generation of conspicuity-improved synthetic image from digital breast tomosynthesis. DSP 2014: 395-399
[c10]
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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: 90352Q
2013
[c9]
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Dae Hoe Kim, Konstantinos N. Plataniotis, Yong Man Ro:
Denoising 3D ultrasound volumes using sparse representation. EMBC 2013: 4034-4037
[c8]
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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: 86701V
[c7]
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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: 86701Y
2012
[c6]
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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: 495-498
[c5]
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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: 4394-4397
[c4]
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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: 2821-2824
[c3]
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Dae Hoe Kim, Jae Young Choi, Yong Man Ro:
A novel mammographic mass detection approach to combining suprevised and unsuprevised detection algorithms. ICIP 2012: 2857-2860
[c2]
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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: 83151Z
[c1]
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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: 83152B

Informal and Other Publications

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2023
[i1]
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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 abs/2308.07593 (2023)

Coauthor Index

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