Dae Ha Kim

Orcid: 0000-0003-3838-126X

According to our database1, Dae Ha Kim authored at least 25 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Beyond superficial emotion recognition: Modality-adaptive emotion recognition system.
Expert Syst. Appl., January, 2024

Toward Identity-Invariant Facial Expression Recognition: Disentangled Representation via Mutual Information Perspective.
IEEE Access, 2024

2023
Fine Gaze Redirection Learning with Gaze Hardness-aware Transformation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Modality-Aware Ood Suppression Using Feature Discrepancy for Multi-Modal Emotion Recognition.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Deep Metric Learning With Manifold Class Variability Analysis.
IEEE Trans. Multim., 2022

Synthesized rain images for deraining algorithms.
Neurocomputing, 2022

Probabilistic Principal Geodesic Deep Metric Learning.
IEEE Access, 2022

Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

RPFNET: Complementary Feature Fusion for Hand Gesture Recognition.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Emotion-aware Multi-view Contrastive Learning for Facial Emotion Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

Style-Guided and Disentangled Representation for Robust Image-to-Image Translation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Virtual sample-based deep metric learning using discriminant analysis.
Pattern Recognit., 2021

Metric-Based Attention Feature Learning for Video Action Recognition.
IEEE Access, 2021

Hidden Emotion Detection using Multi-modal Signals.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Contrastive Adversarial Learning for Person Independent Facial Emotion Recognition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Visual Scene-Aware Hybrid and Multi-Modal Feature Aggregation for Facial Expression Recognition.
Sensors, 2020

Real-time purchase behavior recognition system based on deep learning-based object detection and tracking for an unmanned product cabinet.
Expert Syst. Appl., 2020

2019
Macro unit-based convolutional neural network for very light-weight deep learning.
Image Vis. Comput., 2019

Metric-Based Regularization and Temporal Ensemble for Multi-Task Learning using Heterogeneous Unsupervised Tasks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Visual Scene-aware Hybrid Neural Network Architecture for Video-based Facial Expression Recognition.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

2018
Infrared image super-resolution using auxiliary convolutional neural network and visible image under low-light conditions.
J. Vis. Commun. Image Represent., 2018

Recognizing Fine Facial Micro-Expressions Using Two-Dimensional Landmark Feature.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Self-supervised Knowledge Distillation Using Singular Value Decomposition.
Proceedings of the Computer Vision - ECCV 2018, 2018

MUNet: Macro Unit-Based Convolutional Neural Network for Mobile Devices.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Multi-modal emotion recognition using semi-supervised learning and multiple neural networks in the wild.
Proceedings of the 19th ACM International Conference on Multimodal Interaction, 2017


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