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Dae Hoe Kim
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2020 – today
- 2024
- [j4]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) - 2023
- [c28]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 - [i1]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)
2010 – 2019
- 2019
- [j3]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) - 2017
- [c27]Jinhyeok Jang, Dae Hoe Kim, Hyungil Kim
, Yong Man Ro
:
Color channel-wise recurrent learning for facial expression recognition. ICASSP 2017: 1233-1237 - [c26]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
- [j2]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) - [c25]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]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]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]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]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
- [j1]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) - [c20]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]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]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]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]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]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]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]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]Wissam J. Baddar, Dae Hoe Kim, Yong Man Ro
:
Breast tissue removal for enhancing microcalcification cluster detection in mammograms. BHI 2014: 363-366 - [c11]Seong-Tae Kim, Dae Hoe Kim, Yong Man Ro
:
Generation of conspicuity-improved synthetic image from digital breast tomosynthesis. DSP 2014: 395-399 - [c10]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]Dae Hoe Kim, Konstantinos N. Plataniotis
, Yong Man Ro
:
Denoising 3D ultrasound volumes using sparse representation. EMBC 2013: 4034-4037 - [c8]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]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]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]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]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]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]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]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
Coauthor Index
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last updated on 2024-05-06 21:09 CEST by the dblp team
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