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Seul-Ki Yeom
Seul-Ki Yeom
Technische Universität Berlin - Machine Learning Group
Verified email at tu-berlin.de
Title
Cited by
Cited by
Year
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning
SK Yeom, P Seegerer, S Lapuschkin, A Binder, S Wiedemann, KR Müller, ...
Pattern Recognition 115, 107899, 2021
2802021
Network Properties in Transitions of Consciousness during Propofol-Induced Sedation
M Lee, RD Sanders, SK Yeom, DO Won, KS Seo, HJ Kim, G Tononi, ...
Scientific reports 7 (1), 16791, 2018
2032018
Person Authentication from Neural Activity of Face-Specific Visual Self-Representation
SK Yeom, HI Suk, SW Lee
Pattern recognition 46 (4), 1159-1169, 2013
1462013
An Efficient ERP-based Brain-Computer Interface using Random Set Presentation and Face Familiarity
SK Yeom, S Fazli, KR Müller, SW Lee
PloS one 9 (11), e111157, 2014
1112014
Spatio-Temporal Dynamics of Multimodal EEG-fNIRS Signals in the Loss and Recovery of Consciousness under Sedation using Midazolam and Propofol
SK Yeom, DO Won, SI Chi, KS Seo, HJ Kim, KR Müller, SW Lee
PloS one 12 (11), e0187743, 2017
362017
EEG-based Person Authentication using Face Stimuli
SK Yeom, HI Suk, SW Lee
Brain-Computer Interface (BCI), 2013 International Winter Workshop on, 58-61, 2013
262013
Toward Compact Deep Neural Networks via Energy-Aware Pruning
SK Yeom, KH Shim, JH Hwang
tinyML Research Symposium, 2022
212022
Spatio-Temporal Analysis of EEG Signal during Consciousness using Convolutional Neural Network
M Lee, SK Yeom, B Baird, O Gosseries, JO Nieminen, G Tononi, SW Lee
2018 6th International Conference on Brain-Computer Interface (BCI), 1-3, 2018
162018
P300 Visual Speller based on Random Set Presentation
SK Yeom, S Fazli, SW Lee
2014 International Winter Workshop on Brain-Computer Interface (BCI), 1-2, 2014
142014
Change in Functional Networks for Transitions between States of Consciousness during Midazolam-Induced Sedation
M Lee, RD Sanders, SK Yeom, DO Won, HJ Kim, BR Lee, KS Seo, HJ Kim, ...
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
132017
U-MixFormer: UNet-like Transformer with Mix-Attention for Efficient Semantic Segmentation
SK Yeom, J von Klitzing
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 25, 2025
102025
Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy
T Castells, SK Yeom
Association for the Advancement of Artificial Intelligence (AAAI) 2023 Workshop, 2023
72023
Multimodal imaging technique for rapid response brain-computer interface feedback
SK Yeom, S Fazli, J Mehnert, B Blankertz, J Steinbrink, K Muller, SW Lee
Brain-Computer Interface (BCI), 2013 International Winter Workshop on, 92-94, 2013
52013
EEG-based person authentication using face-specific self representation
SK Yeom, HI Suk, SW Lee
Proceedings of the Korean Information Science Society Conference, 379-382, 2011
42011
Pruning and/or Quantizing Machine Learning Predictors
W Samek, S Lapuschkin, S Wiedemann, P Seegerer, Y Seul-Ki, K Mueller, ...
US Patent App. 17/556,657, 2022
32022
EEG-based Classification of Consciousness during Sedation using Global Spectra Principal Components
SK Yeom, HJ Kim, KS Seo, HJ Kim, SW Lee
2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), 799-803, 2017
12017
Classification of midazolam-induced sedation depth based on spatial and spectral analysis
HJ Kim, SK Yeom, KS Seo, HJ Kim, SW Lee
2017 5th International Winter Conference on Brain-Computer Interface (BCI …, 2017
12017
UniForm: A Reuse Attention Mechanism Optimized for Efficient Vision Transformers on Edge Devices
SK Yeom, TH Kim
arXiv preprint arXiv:2412.02344, 2024
2024
Method and System for Obtaining Transfer Learning Model based on Convergence of Model Compression and Transfer Learning
SK Yeom
US Patent 18/454,466, 2024
2024
Method and Computer System for Performing Inference using a Transformer-based Model including Reused Attention Mechanism
SK Yeom
KR Patent App. 10-2024-0,160,160, 2024
2024
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Articles 1–20