Dae Hoe Kim

Orcid: 0000-0002-6628-3010

According to our database1, Dae Hoe Kim authored at least 33 papers between 2012 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
AKVSR: Audio Knowledge Empowered Visual Speech Recognition by Compressing Audio Knowledge of a Pretrained Model.
IEEE Trans. Multim., 2024

PedRiskNet: Classifying Pedestrian Situations in Surveillance Videos for Pedestrian Safety Monitoring in Smart Cities.
Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024

2023
CIPF: Crossing Intention Prediction Network based on Feature Fusion Modules for Improving Pedestrian Safety.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2019
Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition.
IEEE Trans. Affect. Comput., 2019

2017
Learning Features Robust to Image Variations with Siamese Networks for Facial Expression Recognition.
Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

Color channel-wise recurrent learning for facial expression recognition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Classifier ensemble generation and selection with multiple feature representations for classification applications in computer-aided detection and diagnosis on mammography.
Expert Syst. Appl., 2016

Micro-Expression Recognition with Expression-State Constrained Spatio-Temporal Feature Representations.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Spatio-temporal representation for face authentication by using multi-task learning with human attributes.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

A deep facial landmarks detection with facial contour and facial components constraint.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Latent feature representation with 3-D multi-view deep convolutional neural network for bilateral analysis in digital breast tomosynthesis.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Facial dynamic modelling using long short-term memory network: Analysis and application to face authentication.
Proceedings of the 8th IEEE International Conference on Biometrics Theory, 2016

2015
Region based stellate features combined with variable selection using AdaBoost learning in mammographic computer-aided detection.
Comput. Biol. Medicine, 2015

Feature extraction from inter-view similarity of DBT projection views.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Combination of conspicuity improved synthetic mammograms and digital breast tomosynthesis: a promising approach for mass detection.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Utilizing digital breast tomosynthesis projection views correlation for microcalcification enhancement for detection purposes.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Human action recognition using time-invariant key-trajectories describing spatio-temporal salient motion.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Region matching based on local structure information in ipsilateral digital breast tomosynthesis views.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Feature extraction from bilateral dissimilarity in digital breast tomosynthesis reconstructed volume.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Level-set based free fluid segmentation with improved initialization using region growing in 3D ultrasound sonography.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Generation of conspicuity-improved synthetic image from digital breast tomosynthesis.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Improvement of subtle microcalcifications detection in DBT slices.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

Mass detection based on pooled mass probability map of 3D reconstructed slices in digital breast tomosynthesis.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

Breast tissue removal for enhancing microcalcification cluster detection in mammograms.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013
Improving positive predictive value in computer-aided diagnosis using mammographic mass and microcalcification confidence score fusion based on co-location information.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Boosting framework for mammographic mass classification with combination of CC and MLO view information.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Denoising 3D ultrasound volumes using sparse representation.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Mammographic enhancement with combining local statistical measures and sliding band filter for improved mass segmentation in mammograms.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Multiresolution Local Binary Pattern texture analysis for false positive reduction in computerized detection of breast masses on mammograms.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

A novel mammographic mass detection approach to combining suprevised and unsuprevised detection algorithms.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Region based stellate features for classification of mammographic spiculated lesions in computer-aided detection.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Combining multiple feature representations and AdaBoost ensemble learning for reducing false-positive detections in Computer-aided Detection of masses on mammograms.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Combining multiresolution local binary pattern texture analysis and variable selection strategy applied to computer-aided detection of breast masses on mammograms.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012


  Loading...