Kyeongbo Kong

Orcid: 0000-0002-1135-7502

According to our database1, Kyeongbo Kong authored at least 27 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Human Motion Aware Text-to-Video Generation with Explicit Camera Control.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Out-of-Focus Image Deblurring for Mobile Display Vision Inspection.
IEEE Trans. Circuits Syst. Video Technol., September, 2023

Subject-Invariant Deep Neural Networks Based on Baseline Correction for EEG Motor Imagery BCI.
IEEE J. Biomed. Health Informatics, April, 2023

Human Body-Aware Feature Extractor Using Attachable Feature Corrector for Human Pose Estimation.
IEEE Trans. Multim., 2023

An Unified Framework for Language Guided Image Completion.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

SEFD: Learning to Distill Complex Pose and Occlusion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Digital handwriting correction using deep learning.
Proceedings of the International Conference on Electronics, Information, and Communication, 2023

FeedFormer: Revisiting Transformer Decoder for Efficient Semantic Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Dynamic Hand Gesture Recognition Using Improved Spatio-Temporal Graph Convolutional Network.
IEEE Trans. Circuits Syst. Video Technol., 2022

Penalty based robust learning with noisy labels.
Neurocomputing, 2022

Image Demoireing via U-Net for Detection of Display Defects.
IEEE Access, 2022

Image-Adaptive Hint Generation via Vision Transformer for Outpainting.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Selective TransHDR: Transformer-Based Selective HDR Imaging Using Ghost Region Mask.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Knowledge Distillation-Aided End-to-End Learning for Linear Precoding in Multiuser MIMO Downlink Systems With Finite-Rate Feedback.
IEEE Trans. Veh. Technol., 2021

AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning.
CoRR, 2021

Selective Focusing Learning in Conditional GANs.
CoRR, 2021

Mitigating Memorization in Sample Selection for Learning with Noisy Labels.
CoRR, 2021

Core-set Sampling for Efficient Neural Architecture Search.
CoRR, 2021

Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation.
CoRR, 2021

Painting Outside as Inside: Edge Guided Image Outpainting via Bidirectional Rearrangement with Progressive Step Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020
BlockNet: A Deep Neural Network for Block-Based Motion Estimation Using Representative Matching.
Symmetry, 2020

Deep-learning-based precoding in multiuser MIMO downlink channels with limited feedback.
CoRR, 2020

Multilevel Feature Fusion With 3D Convolutional Neural Network for EEG-Based Workload Estimation.
IEEE Access, 2020

2019
How to Estimate Global Motion Non-Iteratively From a Coarsely Sampled Motion Vector Field.
IEEE Trans. Circuits Syst. Video Technol., 2019

Recycling: Semi-Supervised Learning With Noisy Labels in Deep Neural Networks.
IEEE Access, 2019

Multistage Fusion With Dissimilarity Regularization for SAR/IR Target Recognition.
IEEE Access, 2019

2018
CNN-based LDR-to-HDR conversion system.
Proceedings of the IEEE International Conference on Consumer Electronics, 2018


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