Seunghyun Lee

Orcid: 0000-0001-7139-1764

Affiliations:

Inha University, Department of Electrical and Computer Engineering, Incheon, Korea (PhD 2023)

According to our database¹, Seunghyun Lee authored at least 26 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Compressing Neural Networks on Limited Computing Resources.

[BibT_eX]

[DOI]

IEEE Access, 2025

2024

Fast Filter Pruning via Coarse-to-Fine Neural Architecture Search and Contrastive Knowledge Transfer.

[BibT_eX]

[DOI]

Seunghyun Lee

Byung Cheol Song

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Real-Time Monte Carlo Denoising With Adaptive Fusion Network.

[BibT_eX]

[DOI]

IEEE Access, 2024

Data and Model Uncertainty Aware Salient Object Detection.

[BibT_eX]

[DOI]

Heejin Lee

Seunghyun Lee

Byung Cheol Song

IEEE Access, 2024

2023

Task-Adaptive Pseudo Labeling for Transductive Meta-Learning.

[BibT_eX]

[DOI]

Sanghyuk Lee

Seunghyun Lee

Byung Cheol Song

CoRR, 2023

TAKDSR: Teacher Assistant Knowledge Distillation Framework for Graphics Image Super-Resolution.

[BibT_eX]

[DOI]

Min Yoon

Seunghyun Lee

Byung Cheol Song

IEEE Access, 2023

Display Visibility Improvement Through Content and Ambient Light-Adaptive Image Enhancement.

[BibT_eX]

[DOI]

IEEE Access, 2023

Analysis of performance difference when using knowledge distillation of efficient CNN-based super-resolution algorithm.

[BibT_eX]

[DOI]

Min Yoon

Seunghyun Lee

Byung Cheol Song

Proceedings of the International Conference on Electronics, Information, and Communication, 2023

Stable Quantization-Aware Training with Adaptive Gradient Clipping.

[BibT_eX]

[DOI]

Jihoon Park

Seunghyun Lee

Byung Cheol Song

Proceedings of the International Conference on Electronics, Information, and Communication, 2023

2022

Knowledge Transfer via Decomposing Essential Information in Convolutional Neural Networks.

[BibT_eX]

[DOI]

Seunghyun Lee

Byung Cheol Song

IEEE Trans. Neural Networks Learn. Syst., 2022

Balanced knowledge distillation for one-stage object detector.

[BibT_eX]

[DOI]

Sungwook Lee

Seunghyun Lee

Byung Cheol Song

Neurocomputing, 2022

Improving Vision Transformers to Learn Small-Size Dataset From Scratch.

[BibT_eX]

[DOI]

Seunghoon Lee

Seunghyun Lee

Byung Cheol Song

IEEE Access, 2022

CFA: Coupled-Hypersphere-Based Feature Adaptation for Target-Oriented Anomaly Localization.

[BibT_eX]

[DOI]

Sungwook Lee

Seunghyun Lee

Byung Cheol Song

IEEE Access, 2022

Contextual Gradient Scaling for Few-Shot Learning.

[BibT_eX]

[DOI]

Sang Hyuk Lee

Seunghyun Lee

Byung Cheol Song

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Image Enhancement for Improved Visibility of Digital Displays Under The Sunlight.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Ensemble Knowledge Guided Sub-network Search and Fine-Tuning for Filter Pruning.

[BibT_eX]

[DOI]

Seunghyun Lee

Byung Cheol Song

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Vision Transformer for Small-Size Datasets.

[BibT_eX]

[DOI]

Seung Hoon Lee

Seunghyun Lee

Byung Cheol Song

CoRR, 2021

Zero-Shot Knowledge Distillation Using Label-Free Adversarial Perturbation With Taylor Approximation.

[BibT_eX]

[DOI]

Kang Il Lee

Seunghyun Lee

Byung Cheol Song

IEEE Access, 2021

Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network.

[BibT_eX]

[DOI]

Seunghyun Lee

Byung Cheol Song

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

[BibT_eX]

[DOI]

Expert Syst. Appl., 2020

Transformation of Non-Euclidean Space to Euclidean Space for Efficient Learning of Singular Vectors.

[BibT_eX]

[DOI]

Seung Hyun Lee

Byung Cheol Song

IEEE Access, 2020

Filter Pruning and Re-Initialization via Latent Space Clustering.

[BibT_eX]

[DOI]

IEEE Access, 2020

Channel Pruning Via Gradient Of Mutual Information For Light-Weight Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

EPrOD: Evolved Probabilistic Object Detector with Diverse Samples.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Graph-based Knowledge Distillation by Multi-head Attention Network.

[BibT_eX]

[DOI]

Seunghyun Lee

Byung Cheol Song

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Self-supervised Knowledge Distillation Using Singular Value Decomposition.

[BibT_eX]

[DOI]

Seung Hyun Lee

Dae Ha Kim

Byung Cheol Song

Proceedings of the Computer Vision - ECCV 2018, 2018

Seunghyun Lee

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