Dae-Shik Kim

62 papers A* 1A 3B 3C 2Journal 31Unranked 22
YearRankTypeTitle / Venue / Authors
2025 J jnl
Decoding fMRI Data into Captions using Prefix Language Modeling.
CoRR
Vyacheslav Shen, Kassymzhomart Kunanbayev, Dae-Shik Kim
2025 J jnl
Generality-aware self-supervised transformer for multivariate time series anomaly detection.
Appl. Intell.
Yucheol Cho, Jae-Hyeok Lee, Gyeongdo Ham, Donggon Jang, Dae-Shik Kim
2025 J jnl
MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation.
CoRR
Donggon Jang, Yucheol Cho, Suin Lee, Taehyeon Kim, Dae-Shik Kim
2025 J jnl
Multi-View Prototypical Transport for Unsupervised Domain Adaptation.
IEEE Access
Sunhyeok Lee, Dae-Shik Kim
2025 J jnl
TexTailor: Customized Text-aligned Texturing via Effective Resampling.
CoRR
Suin Lee, Dae-Shik Kim
2024 J jnl
Energy-Based Domain Adaptation Without Intermediate Domain Dataset for Foggy Scene Segmentation.
IEEE Trans. Image Process.
Donggon Jang, Sunhyeok Lee, Gyuwon Choi, Yejin Lee, Sanghyeok Son, Dae-Shik Kim
2024 — conf
Training ViT with Limited Data for Alzheimer's Disease Classification: An Empirical Study.
MICCAI (12)
Kassymzhomart Kunanbayev, Vyacheslav Shen, Dae-Shik Kim
2023 J jnl
Burst super-resolution with adaptive feature refinement and enhanced group up-sampling.
Appl. Intell.
Minchan Kang, Woojin Jeong, Sanghyeok Son, Gyeongdo Ham, Dae-Shik Kim
2023 A* conf
ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization.
ICCV
Jae-Hyeok Lee, Dae-Shik Kim
2023 — conf
RobustSsF: Robust Missing Modality Brain Tumor Segmentation with Self-supervised Learning-Based Scenario-Specific Fusion.
ML4MHD
Jeongwon Lee, Dae-Shik Kim
2023 — conf
Temporally Averaged Regression for Semi-Supervised Low-Light Image Enhancement.
CVPR Workshops
Sunhyeok Lee, Donggon Jang, Dae-Shik Kim
2022 J jnl
A Multiple-State Ion Synaptic Transistor Applicable to Abnormal Car Detection with Transfer Learning.
Adv. Intell. Syst.
Ji-Man Yu, Gyeongdo Ham, Chungryeol Lee, Jae-Hyeok Lee, Joon-Kyu Han, Jin-Ki Kim, Donggon Jang, Nahyun Kim, Moon-Seok Kim, Sung Gap Im, Dae-Shik Kim, Yang-Kyu Choi
2022 — conf
Accurate Hippocampus Segmentation Based on Self-supervised Learning with Fewer Labeled Data.
MLCN@MICCAI
Kassymzhomart Kunanbayev, Donggon Jang, Woojin Jeong, Nahyun Kim, Dae-Shik Kim
2022 A conf
Learning Color Representations for Low-Light Image Enhancement.
WACV
Bomi Kim, Sunhyeok Lee, Nahyun Kim, Donggon Jang, Dae-Shik Kim
2022 — conf
Strengthening the Transferability of Adversarial Examples Using Advanced Looking Ahead and Self-CutMix.
CVPR Workshops
Donggon Jang, Sanghyeok Son, Dae-Shik Kim
2021 C conf
Cross-Active Connection for Image-Text Multimodal Feature Fusion.
NLDB
JungHyuk Im, Wooyeong Cho, Dae-Shik Kim
2021 J jnl
Unsupervised Image Denoising with Frequency Domain Knowledge.
CoRR
Nahyun Kim, Donggon Jang, Sunhyeok Lee, Bomi Kim, Dae-Shik Kim
2021 — conf
Weighted Multi-Kernel Prediction Network for Burst Image Super-Resolution.
CVPR Workshops
Wooyeong Cho, Sanghyeok Son, Dae-Shik Kim
2020 J jnl
VMI-VAE: Variational Mutual Information Maximization Framework for VAE With Discrete and Continuous Priors.
CoRR
Andriy Serdega, Dae-Shik Kim
2020 J jnl
Variational Mutual Information Maximization Framework for VAE Latent Codes with Continuous and Discrete Priors.
CoRR
Andriy Serdega, Dae-Shik Kim
2019 J jnl
Latent Question Interpretation Through Variational Adaptation.
IEEE ACM Trans. Audio Speech Lang. Process.
Tetiana Parshakova, François Rameau, Andriy Serdega, In So Kweon, Dae-Shik Kim
2018 C conf
Competitive Hyperparameter Balancing on Spiking Neural Network for a Fast, Accurate and Energy-Efficient Inference.
ISNN
Jeongho Kim, Dae-Shik Kim
2018 A conf
End-to-End Speech Command Recognition with Capsule Network.
INTERSPEECH
Jaesung Bae, Dae-Shik Kim
2018 — conf
Latent Question Interpretation Through Parameter Adaptation Using Stochastic Neuron.
MRC@IJCAI
Tetiana Parshakova, Dae-Shik Kim
2018 J jnl
Learning for Goal-Directed Actions Using RNNPB: Developmental Change of "What to Imitate".
IEEE Trans. Cogn. Dev. Syst.
Jun-Cheol Park, Dae-Shik Kim, Yukie Nagai
2017 J jnl
A 2.048 Mb/s Full-Duplex Free-Space Optical Transceiver IC for a Real-Time In Vivo Brain-Computer Interface Mouse Experiment Under Social Interaction.
IEEE J. Solid State Circuits
Gunpil Hwang, Jongkwan Choi, Jaehyeok Yang, Sungmin Lim, Jae-Myoung Kim, MinGyu Choi, Kiuk Gwak, Jinwoo Jeon, Il-Hwan Choi, Sol Park, Dae-Shik Kim, Hee Sup Shin, Hyeon-Min Bae
2017 — conf
A real-time multi-class multi-object tracker using YOLOv2.
ICSIPA
KangUn Jo, JungHyuk Im, Jingu Kim, Dae-Shik Kim
2017 — conf
Comparison of single and deep long short-term memory for single object tracking.
RACS
KangUn Jo, JungHyuk Im, Dae-Shik Kim
2016 — conf
A 2.048 Mb/s full-duplex free-space optical transceiver IC for a real-time in vivo neurofeedback mouse experiment under social interaction.
VLSI Circuits
Gunpil Hwang, Jongkwan Choi, Jaehyeok Yang, Sungmin Lim, Jae-Myoung Kim, MinGyu Choi, Dae-Shik Kim, Kiuk Gwak, Jinwoo Jeon, Hee Sup Shin, Il-Hwan Choi, Sol Park, Hyeon-Min Bae
2016 — conf
A Real-time Facial Expression Recognizer using Deep Neural Network.
IMCOM
Jinwoo Jeon, Jun-Cheol Park, Youngjoo Jo, Changmo Nam, Kyung-Hoon Bae, Youngkyoo Hwang, Dae-Shik Kim
2016 — conf
A Real-time Object Tracker equipped with Deep Object Recognizer.
IMCOM
Youngjoo Jo, Jun-Cheol Park, Jinwoo Jeon, Changmo Nam, Junghee Han, Yongin Park, Dae-Shik Kim
2016 — conf
Indoor Human Activity Recognition with Contextual Cues in Videos.
IMCOM
Changmo Nam, Jun-Cheol Park, Dae-Shik Kim
2014 — conf
Developmental Dynamics of RNNPB: New Insight about Infant Action Development.
SAB
Jun-Cheol Park, Dae-Shik Kim, Yukie Nagai
2014 B conf
Quantification and reduction of visual load during BCI operation.
SMC
Kiuk Gwak, Robert Leeb, José del R. Millán, Dae-Shik Kim
2013 — conf
A novel tactile stimulation system for BCI feedback.
BCI
Kiuk Gwak, Robert Leeb, José del R. Millán, Dae-Shik Kim
2013 — conf
Applications of projection based interactive user interface.
SIGGRAPH ASIA Posters
Jun-Cheol Park, Yunhun Jang, Hyungwon Choi, Sihyeon Seong, Sunghun Kang, Dae-Shik Kim
2013 J jnl
Dissociation and convergence of the dorsal and ventral visual working memory streams in the human prefrontal cortex.
NeuroImage
Emi Takahashi, Kenichi Ohki, Dae-Shik Kim
2013 J jnl
Divide et impera: Acceleration of DTI tractography using multi-GPU parallel processing.
Int. J. Imaging Syst. Technol.
Jungsoo Lee, Dae-Shik Kim
2013 — conf
Freeing the visual channel by exploiting vibrotactile BCI feedback.
EMBC
Robert Leeb, Kiuk Gwak, Dae-Shik Kim, José del R. Millán
2013 — conf
Motor trajectory decoding based on fMRI-based BCI - A simulation study.
BCI
Seungkyu Nam, Kyung Hwan Kim, Dae-Shik Kim
2013 — conf
Multiple Kernel Learning with Hierarchical Feature Representations.
ICONIP (3)
Juhyeon Lee, Jae Hyun Lim, Hyungwon Choi, Dae-Shik Kim
2013 J jnl
Pattern-Based Granger Causality Mapping in fMRI.
Brain Connect.
Eunwoo Kim, Dae-Shik Kim, Fayyaz Ahmad, Hyun Wook Park
2013 — conf
Planning as Inference in a Hierarchical Predictive Memory.
ICONIP (1)
Hansol Choi, Dae-Shik Kim
2012 — conf
A Novel Stimulation Method Based on a Neuromorphic Mechanoreceptor Model for Haptic Illusion.
EuroHaptics (2)
Kiuk Gwak, Jun-Cheol Park, Dae-Shik Kim
2012 — conf
Apparent Volitional Behavior Selection Based on Memory Predictions.
ICONIP (1)
Jun-Cheol Park, Jae Hyeon Yoo, Juhyeon Lee, Dae-Shik Kim
2012 B conf
Learning spatio-temporally invariant representations from video.
IJCNN
Jae Hyun Lim, Hansol Choi, Jun-Cheol Park, Jae Young Jun, Dae-Shik Kim
2012 B conf
Reward hierarchical temporal memory.
IJCNN
Hansol Choi, Jun-Cheol Park, Jae Hyun Lim, Jae Young Jun, Dae-Shik Kim
2010 J jnl
Computer-based morphometry of brain.
Int. J. Imaging Syst. Technol.
Bang-Bon Koo, Dae-Shik Kim
2010 J jnl
Ergonomic Factors Related to Drop-Off Detection With the Long Cane: Effects of Cane Tips and Techniques.
Hum. Factors
Dae-Shik Kim, Robert S. Wall Emerson, Amy B. Curtis
2010 J jnl
Guest editorial: Special issue on neuroimaging.
Int. J. Imaging Syst. Technol.
Dae-Shik Kim
2010 J jnl
Quantitative analysis of the hippocampus using images obtained from 7.0 T MRI.
NeuroImage
Zang-Hee Cho, Jae-Yong Han, Seok-Il Hwang, Dae-Shik Kim, Kyoung-nam Kim, Nam-Beom Kim, Seog Ju Kim, Je-Geun Chi, Chan-Woong Park, Young-Bo Kim
2009 J jnl
A framework to analyze partial volume effect on gray matter mean diffusivity measurements.
NeuroImage
Bang-Bon Koo, Ning Hua, Chi-Hoon Choi, Itamar Ronen, Jong-Min Lee, Dae-Shik Kim
2008 J jnl
Diffusion tensor spectroscopy and imaging of the arcuate fasciculus.
NeuroImage
Jaymin Upadhyay, Kevin Hallock, Mathieu Ducros, Dae-Shik Kim, Itamar Ronen
2008 J jnl
High-resolution diffusion tensor imaging and tractography of the human optic chiasm at 9.4 T.
NeuroImage
Alard Roebroeck, Ralf Galuske, Elia Formisano, Oriana Chiry, Hansjürgen Bratzke, Itamar Ronen, Dae-Shik Kim, Rainer Goebel
2007 J jnl
Diffusion tensor studies dissociated two fronto-temporal pathways in the human memory system.
NeuroImage
Emi Takahashi, Kenichi Ohki, Dae-Shik Kim
2006 J jnl
Spatial resolution dependence of DTI tractography in human occipito-callosal region.
NeuroImage
Mina Kim, Itamar Ronen, Kâmil Ugurbil, Dae-Shik Kim
2004 J jnl
Spatial relationship between neuronal activity and BOLD functional MRI.
NeuroImage
Dae-Shik Kim, Itamar Ronen, Cheryl Olman, Seong-Gi Kim, Kâmil Ugurbil, Louis J. Toth
2003 J jnl
Functional activation using apparent diffusion coefficient-dependent contrast allows better spatial localization to the neuronal activity: evidence using diffusion tensor imaging and fiber tracking.
NeuroImage
Allen W. Song, Todd B. Harshbarger, Tianlu Li, Keun-Ho Kim, Kâmil Ugurbil, Susumu Mori, Dae-Shik Kim
2001 J jnl
Magnetic resonance imaging of brain function and neurochemistry.
Proc. IEEE
Kâmil Ugurbil, Dae-Shik Kim, Tim Q. Duong, Xiaoping Hu, Seiji Ogawa, Rolf Gruetter, Wei Chen, Seong-Gi Kim, Xiao-Hung Zhu, Essa Yacoub, Pierre-François van de Moortele, Amir Shmuel, Josef Pfeuffer, Hellmut Merkle, Peter Andersen, Gregor Adriany
1990 A conf
Computation of large-scale constrained matrix problems: the splitting equilibration algorithm.
SC
Anna Nagurney, Alexander Eydeland, Dae-Shik Kim
1990 J jnl
Serial and Parallel Equilibration of Large-Scale Constrained Matrix Problems With Application To the Social and Economic Sciences.
Int. J. High Perform. Comput. Appl.
Anna Nagurney, Dae-Shik Kim, Alan G. Robinson
1989 J jnl
Parallel and Serial Variational Inequality Decomposition Algorithms for Multicommodity Market Equilibrium Problems.
Int. J. High Perform. Comput. Appl.
Anna Nagurney, Dae-Shik Kim