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2020 – today
- 2024
[j30]Gyeongdo Ham
, Yucheol Cho, Jae-Hyeok Lee, Minchan Kang, Gyuwon Choi, Daeshik Kim:
Difficulty level-based knowledge distillation. Neurocomputing 606: 128375 (2024)- [j29]Seonghak Kim, Gyeongdo Ham, Suin Lee, Donggon Jang, Daeshik Kim:
Maximizing discrimination capability of knowledge distillation with energy function. Knowl. Based Syst. 296: 111911 (2024) - [j28]Minchan Kang, Sanghyeok Son, Daeshik Kim:
Adaptive class token knowledge distillation for efficient vision transformer. Knowl. Based Syst. 304: 112531 (2024) - [j27]Yucheol Cho, Guenseok Choi, Gyeongdo Ham, Mincheol Shin, Daeshik Kim:
SemiH: DFT Hamiltonian neural network training with semi-supervised learning. Mach. Learn. Sci. Technol. 5(3): 35060 (2024) - [j26]Donggon Jang, Sunhyeok Lee, Gyuwon Choi, Yejin Lee, Sanghyeok Son, Dae-Shik Kim:
Energy-Based Domain Adaptation Without Intermediate Domain Dataset for Foggy Scene Segmentation. IEEE Trans. Image Process. 33: 6143-6157 (2024) - [j25]Seonghak Kim, Gyeongdo Ham, Yucheol Cho, Daeshik Kim:
Robustness-Reinforced Knowledge Distillation With Correlation Distance and Network Pruning. IEEE Trans. Knowl. Data Eng. 36(12): 9163-9175 (2024) - [c38]Kassymzhomart Kunanbayev, Vyacheslav Shen, Dae-Shik Kim:
Training ViT with Limited Data for Alzheimer's Disease Classification: An Empirical Study. MICCAI (12) 2024: 334-343 - [c37]Joonhyeok Jang, Sunhyeok Lee, Seonghak Kim, Jung-Un Kim, Seonghyun Kim, Daeshik Kim:
Robust Unsupervised Domain Adaptation through Negative-View Regularization. WACV 2024: 2450-2459 - 2023
- [j24]Minchan Kang, Woojin Jeong, Sanghyeok Son, Gyeongdo Ham, Dae-Shik Kim:
Burst super-resolution with adaptive feature refinement and enhanced group up-sampling. Appl. Intell. 53(24): 30940-30953 (2023) - [j23]Yucheol Cho, Gyeongdo Ham, Jae-Hyeok Lee, Daeshik Kim:
Ambiguity-aware robust teacher (ART): Enhanced self-knowledge distillation framework with pruned teacher network. Pattern Recognit. 140: 109541 (2023) - [c36]Sunhyeok Lee, Donggon Jang, Dae-Shik Kim:
Temporally Averaged Regression for Semi-Supervised Low-Light Image Enhancement. CVPR Workshops 2023: 4208-4217 - [c35]Jae-Hyeok Lee, Dae-Shik Kim:
ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization. ICCV 2023: 3468-3478 - [c34]Jeongwon Lee, Dae-Shik Kim:
RobustSsF: Robust Missing Modality Brain Tumor Segmentation with Self-supervised Learning-Based Scenario-Specific Fusion. ML4MHD 2023: 43-53 - [c33]Gyuseong Kang, Hyunjin Shin, Hyuntaek Jung, Sunkyu Lee, Jaeseung Choi, Sangyeop Baeck, Hyunsung Jung, Daeshik Kim, Sohee Hwang, Shinhee Han, Yongsung Ji, Sei Seung Yoon:
A 14nm 128Mb Embedded MRAM Macro achieved the Best Figure-Of-Merit with 80MHz Read operation and 18.1Mb/mm² implementation at 0.64V. VLSI Technology and Circuits 2023: 1-2 - [i11]Seonghak Kim, Gyeongdo Ham, Yucheol Cho, Daeshik Kim:
Robustness-Reinforced Knowledge Distillation with Correlation Distance and Network Pruning. CoRR abs/2311.13934 (2023) - [i10]Gyeongdo Ham, Seonghak Kim, Suin Lee, Jae-Hyeok Lee, Daeshik Kim:
Cosine Similarity Knowledge Distillation for Individual Class Information Transfer. CoRR abs/2311.14307 (2023) - [i9]Seonghak Kim, Gyeongdo Ham, Suin Lee, Donggon Jang, Daeshik Kim:
Maximizing Discrimination Capability of Knowledge Distillation with Energy-based Score. CoRR abs/2311.14334 (2023) - 2022
- [j22]Gyeongdo Ham, Yucheol Cho, Jae-Hyeok Lee, Daeshik Kim:
P-PseudoLabel: Enhanced Pseudo-Labeling Framework With Network Pruning in Semi-Supervised Learning. IEEE Access 10: 115652-115662 (2022) - [j21]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:
A Multiple-State Ion Synaptic Transistor Applicable to Abnormal Car Detection with Transfer Learning. Adv. Intell. Syst. 4(6) (2022) - [c32]Donggon Jang, Sanghyeok Son, Dae-Shik Kim:
Strengthening the Transferability of Adversarial Examples Using Advanced Looking Ahead and Self-CutMix. CVPR Workshops 2022: 147-154 - [c31]Kassymzhomart Kunanbayev, Donggon Jang, Woojin Jeong, Nahyun Kim, Dae-Shik Kim:
Accurate Hippocampus Segmentation Based on Self-supervised Learning with Fewer Labeled Data. MLCN@MICCAI 2022: 42-51 - [c30]Bomi Kim, Sunhyeok Lee, Nahyun Kim, Donggon Jang, Dae-Shik Kim:
Learning Color Representations for Low-Light Image Enhancement. WACV 2022: 904-912 - 2021
- [c29]Nahyun Kim, Donggon Jang, Sunhyeok Lee, Bomi Kim, Daeshik Kim:
Unsupervised Image Denoising with Frequency Domain Knowledge. BMVC 2021: 329 - [c28]Wooyeong Cho, Sanghyeok Son, Dae-Shik Kim:
Weighted Multi-Kernel Prediction Network for Burst Image Super-Resolution. CVPR Workshops 2021: 404-413 - [c27]JungHyuk Im, Wooyeong Cho, Dae-Shik Kim:
Cross-Active Connection for Image-Text Multimodal Feature Fusion. NLDB 2021: 343-354 - [i8]Goutam Bhat, Martin Danelljan, Radu Timofte, Kazutoshi Akita, Wooyeong Cho, Haoqiang Fan, Lanpeng Jia, Daeshik Kim, Bruno Lecouat, Youwei Li, Shuaicheng Liu, Ziluan Liu, Ziwei Luo, Takahiro Maeda, Julien Mairal, Christian Micheloni, Xuan Mo, Takeru Oba, Pavel Ostyakov, Jean Ponce, Sanghyeok Son, Jian Sun, Norimichi Ukita, Rao Muhammad Umer, Youliang Yan, Lei Yu, Magauiya Zhussip, Xueyi Zou:
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results. CoRR abs/2106.03839 (2021) - [i7]Nahyun Kim, Donggon Jang, Sunhyeok Lee, Bomi Kim, Dae-Shik Kim:
Unsupervised Image Denoising with Frequency Domain Knowledge. CoRR abs/2111.14362 (2021) - 2020
- [c26]Geondo Park, Chihye Han, Daeshik Kim, Wonjun Yoon:
MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding. WACV 2020: 1507-1515 - [i6]Geondo Park, Chihye Han, Wonjun Yoon, Daeshik Kim:
MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding. CoRR abs/2001.03712 (2020) - [i5]Andriy Serdega, Dae-Shik Kim:
VMI-VAE: Variational Mutual Information Maximization Framework for VAE With Discrete and Continuous Priors. CoRR abs/2005.13953 (2020) - [i4]Andriy Serdega, Dae-Shik Kim:
Variational Mutual Information Maximization Framework for VAE Latent Codes with Continuous and Discrete Priors. CoRR abs/2006.02227 (2020)
2010 – 2019
- 2019
- [j20]Tetiana Parshakova, François Rameau, Andriy Serdega, In So Kweon, Dae-Shik Kim:
Latent Question Interpretation Through Variational Adaptation. IEEE ACM Trans. Audio Speech Lang. Process. 27(11): 1713-1724 (2019) - [c25]Deokyun Kim, Minseon Kim, Gihyun Kwon, Daeshik Kim:
Progressive Face Super-Resolution via Attention to Facial Landmark. BMVC 2019: 192 - [c24]Chihye Han, Wonjun Yoon, Gihyun Kwon, Daeshik Kim, Seungkyu Nam:
Representation of white- and black-box adversarial examples in deep neural networks and humans: A functional magnetic resonance imaging study. IJCNN 2019: 1-8 - [c23]Gihyun Kwon, Chihye Han, Daeshik Kim:
Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks. MICCAI (3) 2019: 118-126 - [i3]Chihye Han, Wonjun Yoon, Gihyun Kwon, Seungkyu Nam, Daeshik Kim:
Representation of White- and Black-Box Adversarial Examples in Deep Neural Networks and Humans: A Functional Magnetic Resonance Imaging Study. CoRR abs/1905.02422 (2019) - [i2]Gihyun Kwon, Chihye Han, Daeshik Kim:
Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks. CoRR abs/1908.02498 (2019) - [i1]Deokyun Kim, Minseon Kim, Gihyun Kwon, Daeshik Kim:
Progressive Face Super-Resolution via Attention to Facial Landmark. CoRR abs/1908.08239 (2019) - 2018
- [j19]Jun-Cheol Park, Dae-Shik Kim, Yukie Nagai:
Learning for Goal-Directed Actions Using RNNPB: Developmental Change of "What to Imitate". IEEE Trans. Cogn. Dev. Syst. 10(3): 545-556 (2018) - [c22]Tetiana Parshakova, Dae-Shik Kim:
Latent Question Interpretation Through Parameter Adaptation Using Stochastic Neuron. MRC@IJCAI 2018: 46-55 - [c21]Jaesung Bae, Dae-Shik Kim:
End-to-End Speech Command Recognition with Capsule Network. INTERSPEECH 2018: 776-780 - [c20]Jeongho Kim, Dae-Shik Kim:
Competitive Hyperparameter Balancing on Spiking Neural Network for a Fast, Accurate and Energy-Efficient Inference. ISNN 2018: 44-53 - 2017
- [j18]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:
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 52(4): 1007-1020 (2017) - [c19]KangUn Jo, JungHyuk Im, Jingu Kim, Dae-Shik Kim:
A real-time multi-class multi-object tracker using YOLOv2. ICSIPA 2017: 507-511 - [c18]KangUn Jo, JungHyuk Im, Dae-Shik Kim:
Comparison of single and deep long short-term memory for single object tracking. RACS 2017: 85-88 - 2016
- [c17]Jinwoo Jeon, Jun-Cheol Park, Youngjoo Jo, Changmo Nam, Kyung-Hoon Bae, Youngkyoo Hwang, Dae-Shik Kim:
A Real-time Facial Expression Recognizer using Deep Neural Network. IMCOM 2016: 94:1-94:4 - [c16]Changmo Nam, Jun-Cheol Park, Dae-Shik Kim:
Indoor Human Activity Recognition with Contextual Cues in Videos. IMCOM 2016: 97:1-97:4 - [c15]Youngjoo Jo, Jun-Cheol Park, Jinwoo Jeon, Changmo Nam, Junghee Han, Yongin Park, Dae-Shik Kim:
A Real-time Object Tracker equipped with Deep Object Recognizer. IMCOM 2016: 99:1-99:4 - [c14]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:
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 2016: 1-2 - 2014
- [c13]Jun-Cheol Park, Dae-Shik Kim, Yukie Nagai:
Developmental Dynamics of RNNPB: New Insight about Infant Action Development. SAB 2014: 144-153 - [c12]Kiuk Gwak, Robert Leeb, José del R. Millán, Dae-Shik Kim:
Quantification and reduction of visual load during BCI operation. SMC 2014: 2795-2800 - 2013
- [j17]Eunwoo Kim, Dae-Shik Kim, Fayyaz Ahmad, Hyun Wook Park:
Pattern-Based Granger Causality Mapping in fMRI. Brain Connect. 3(6): 569-577 (2013) - [j16]Jungsoo Lee, Dae-Shik Kim:
Divide et impera: Acceleration of DTI tractography using multi-GPU parallel processing. Int. J. Imaging Syst. Technol. 23(3): 256-264 (2013) - [j15]Emi Takahashi, Kenichi Ohki, Dae-Shik Kim:
Dissociation and convergence of the dorsal and ventral visual working memory streams in the human prefrontal cortex. NeuroImage 65: 488-498 (2013) - [c11]Kiuk Gwak, Robert Leeb, José del R. Millán, Dae-Shik Kim:
A novel tactile stimulation system for BCI feedback. BCI 2013: 29-31 - [c10]Seungkyu Nam, Kyung Hwan Kim, Dae-Shik Kim:
Motor trajectory decoding based on fMRI-based BCI - A simulation study. BCI 2013: 89-91 - [c9]Robert Leeb, Kiuk Gwak, Dae-Shik Kim, José del R. Millán:
Freeing the visual channel by exploiting vibrotactile BCI feedback. EMBC 2013: 3093-3096 - [c8]Hansol Choi, Dae-Shik Kim:
Planning as Inference in a Hierarchical Predictive Memory. ICONIP (1) 2013: 17-24 - [c7]Juhyeon Lee, Jae Hyun Lim, Hyungwon Choi, Dae-Shik Kim:
Multiple Kernel Learning with Hierarchical Feature Representations. ICONIP (3) 2013: 517-524 - [c6]Jun-Cheol Park, Yunhun Jang, Hyungwon Choi, Sihyeon Seong, Sunghun Kang, Dae-Shik Kim:
Applications of projection based interactive user interface. SIGGRAPH ASIA Posters 2013: 40 - 2012
- [c5]Kiuk Gwak, Jun-Cheol Park, Dae-Shik Kim:
A Novel Stimulation Method Based on a Neuromorphic Mechanoreceptor Model for Haptic Illusion. EuroHaptics (2) 2012: 49-54 - [c4]Jun-Cheol Park, Jae Hyeon Yoo, Juhyeon Lee, Dae-Shik Kim:
Apparent Volitional Behavior Selection Based on Memory Predictions. ICONIP (1) 2012: 484-491 - [c3]Hansol Choi, Jun-Cheol Park, Jae Hyun Lim, Jae Young Jun, Dae-Shik Kim:
Reward hierarchical temporal memory. IJCNN 2012: 1-7 - [c2]Jae Hyun Lim, Hansol Choi, Jun-Cheol Park, Jae Young Jun, Dae-Shik Kim:
Learning spatio-temporally invariant representations from video. IJCNN 2012: 1-6 - 2010
- [j14]Dae-Shik Kim, Robert S. Wall Emerson, Amy B. Curtis:
Ergonomic Factors Related to Drop-Off Detection With the Long Cane: Effects of Cane Tips and Techniques. Hum. Factors 52(3): 456-465 (2010) - [j13]Dae-Shik Kim:
Guest editorial: Special issue on neuroimaging. Int. J. Imaging Syst. Technol. 20(1): 1 (2010) - [j12]Bang-Bon Koo, Dae-Shik Kim:
Computer-based morphometry of brain. Int. J. Imaging Syst. Technol. 20(2): 117-125 (2010) - [j11]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:
Quantitative analysis of the hippocampus using images obtained from 7.0 T MRI. NeuroImage 49(3): 2134-2140 (2010)
2000 – 2009
- 2009
- [j10]Bang-Bon Koo, Ning Hua, Chi-Hoon Choi, Itamar Ronen, Jong-Min Lee, Dae-Shik Kim:
A framework to analyze partial volume effect on gray matter mean diffusivity measurements. NeuroImage 44(1): 136-144 (2009) - 2008
- [j9]Jaymin Upadhyay, Kevin Hallock, Mathieu Ducros, Dae-Shik Kim, Itamar Ronen:
Diffusion tensor spectroscopy and imaging of the arcuate fasciculus. NeuroImage 39(1): 1-9 (2008) - [j8]Alard Roebroeck, Ralf Galuske, Elia Formisano, Oriana Chiry, Hansjürgen Bratzke, Itamar Ronen, Dae-Shik Kim, Rainer Goebel:
High-resolution diffusion tensor imaging and tractography of the human optic chiasm at 9.4 T. NeuroImage 39(1): 157-168 (2008) - 2007
- [j7]Emi Takahashi, Kenichi Ohki, Dae-Shik Kim:
Diffusion tensor studies dissociated two fronto-temporal pathways in the human memory system. NeuroImage 34(2): 827-838 (2007) - 2006
- [j6]Mina Kim, Itamar Ronen, Kâmil Ugurbil, Dae-Shik Kim:
Spatial resolution dependence of DTI tractography in human occipito-callosal region. NeuroImage 32(3): 1243-1249 (2006) - 2004
- [j5]Dae-Shik Kim, Itamar Ronen, Cheryl Olman, Seong-Gi Kim, Kâmil Ugurbil, Louis J. Toth:
Spatial relationship between neuronal activity and BOLD functional MRI. NeuroImage 21(3): 876-885 (2004) - 2003
- [j4]Allen W. Song, Todd B. Harshbarger, Tianlu Li, Keun-Ho Kim, Kâmil Ugurbil, Susumu Mori, Dae-Shik Kim:
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 20(2): 955-961 (2003) - 2001
- [j3]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:
Magnetic resonance imaging of brain function and neurochemistry. Proc. IEEE 89(7): 1093-1106 (2001)
1990 – 1999
- 1990
- [j2]Anna Nagurney, Dae-Shik Kim, Alan G. Robinson:
Serial and Parallel Equilibration of Large-Scale Constrained Matrix Problems With Application To the Social and Economic Sciences. Int. J. High Perform. Comput. Appl. 4(1): 49-71 (1990) - [c1]Anna Nagurney, Alexander Eydeland, Dae-Shik Kim:
Computation of large-scale constrained matrix problems: the splitting equilibration algorithm. SC 1990: 214-223
1980 – 1989
- 1989
- [j1]Anna Nagurney, Dae-Shik Kim:
Parallel and Serial Variational Inequality Decomposition Algorithms for Multicommodity Market Equilibrium Problems. Int. J. High Perform. Comput. Appl. 3(1): 34-58 (1989)
Coauthor Index
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