Seong Tae Kim
Orcid: 0000-0002-2132-6021Affiliations:
- Kyung Hee University, South Korea
- Technical University of Munich, Department of Informatics, Germany (former)
- KAIST, Image and Video Systems Laboratory, Daejeon, South Korea (former)
According to our database1,
Seong Tae Kim
authored at least 61 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
WWW: A Unified Framework for Explaining What, Where and Why of Neural Networks by Interpretation of Neuron Concepts.
CoRR, 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning.
CoRR, 2024
2023
A Hybrid Multimodal Emotion Recognition Framework for UX Evaluation Using Generalized Mixture Functions.
Sensors, 2023
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era.
CoRR, 2023
IEEE Access, 2023
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural Networks.
IEEE Access, 2023
Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT Scans.
IEEE Access, 2023
Toward Label-Efficient Neural Network Training: Diversity-Based Sampling in Semi-Supervised Active Learning.
IEEE Access, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Robust Perturbation for Visual Explanation: Cross-Checking Mask Optimization to Avoid Class Distortion.
IEEE Trans. Image Process., 2022
Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models.
CoRR, 2022
Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
2021
IEEE Trans. Circuits Syst. Video Technol., 2021
GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images.
CoRR, 2021
Longitudinal Brain MR Image Modeling Using Personalized Memory for Alzheimer's Disease.
IEEE Access, 2021
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Lightweight and Effective Facial Landmark Detection using Adversarial Learning with Face Geometric Map Generative Network.
IEEE Trans. Circuits Syst. Video Technol., 2020
IEEE Robotics Autom. Lett., 2020
Multimodal facial biometrics recognition: Dual-stream convolutional neural networks with multi-feature fusion layers.
Image Vis. Comput., 2020
Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation.
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Towards High-Performance Object Detection: Task-Specific Design Considering Classification and Localization Separation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Spatio-Temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
Proceedings of the 31st British Machine Vision Conference 2020, 2020
2019
Attended Relation Feature Representation of Facial Dynamics for Facial Authentication.
IEEE Trans. Inf. Forensics Secur., 2019
Implementation of multimodal biometric recognition via multi-feature deep learning networks and feature fusion.
Multim. Tools Appl., 2019
Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis.
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Visual evidence for interpreting diagnostic decision of deep neural network in computer-aided diagnosis.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
2018
Proceedings of the MultiMedia Modeling - 24th International Conference, 2018
Proceedings of the MultiMedia Modeling - 24th International Conference, 2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Facial Dynamics Interpreter Network: What Are the Important Relations Between Local Dynamics for Facial Trait Estimation?
Proceedings of the Computer Vision - ECCV 2018, 2018
2017
Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data.
CoRR, 2017
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017
Multi-Scale Facial Scanning via Spatial Lstm for Latent Facial Feature Representation.
Proceedings of the International Conference of the Biometrics Special Interest Group, 2017
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
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
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
Generation of conspicuity-improved synthetic image from digital breast tomosynthesis.
Proceedings of the 19th International Conference on Digital Signal Processing, 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