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Han-Gyu Kim

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2020 – today

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2024
[c20]
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  - conf/naacl/LeeKKHC24
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Young-Jun Lee, Byungsoo Ko, Han-Gyu Kim, Jonghwan Hyeon, Ho-Jin Choi:
DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Dataset. NAACL-HLT 2024: 1938-1963
[i7]
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  - journals/corr/abs-2410-04751
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Young-Jun Lee, Byungsoo Ko, Han-Gyu Kim, Yechan Hwang, Ho-Jin Choi:
Intriguing Properties of Large Language and Vision Models. CoRR abs/2410.04751 (2024)
2023
[c19]
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  - conf/icra/LeeKC23a
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Dongkun Lee, Han-Gyu Kim, Ho-Jin Choi:
Road Anomaly Segmentation Based on Pixel-wise Logit Variance with Iterative Background Highlighting. ICRA 2023: 9274-9280
2022
[i6]
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  - journals/corr/abs-2212-04114
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Byungsoo Ko, Han-Gyu Kim, Byeongho Heo, Sangdoo Yun, Sanghyuk Chun, Geonmo Gu, Wonjae Kim:
Group Generalized Mean Pooling for Vision Transformer. CoRR abs/2212.04114 (2022)
[i5]
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  - journals/corr/abs-2212-04119
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Young-Jun Lee, Byungsoo Ko, Han-Gyu Kim, Ho-Jin Choi:
DialogCC: Large-Scale Multi-Modal Dialogue Dataset. CoRR abs/2212.04119 (2022)
2021
[c18]
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Geonmo Gu, ByungSoo Ko, Han-Gyu Kim:
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning. AAAI 2021: 1460-1468
[c17]
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ByungSoo Ko, Geonmo Gu, Han-Gyu Kim:
Learning with Memory-based Virtual Classes for Deep Metric Learning. ICCV 2021: 11772-11781
[i4]
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  - journals/corr/abs-2103-15454
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Geonmo Gu, ByungSoo Ko, Han-Gyu Kim:
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning. CoRR abs/2103.15454 (2021)
[i3]
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  - journals/corr/abs-2103-16940
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ByungSoo Ko, Geonmo Gu, Han-Gyu Kim:
Learning with Memory-based Virtual Classes for Deep Metric Learning. CoRR abs/2103.16940 (2021)
[i2]
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  - journals/corr/abs-2110-03326
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Namkyu Jung, Geonmin Kim, Han-Gyu Kim:
Back from the future: bidirectional CTC decoding using future information in speech recognition. CoRR abs/2110.03326 (2021)
2020
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  - journals/tjs/KimJOC20
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Han-Gyu Kim, Gil-Jin Jang, Yung-Hwan Oh, Ho-Jin Choi:
Speech and music pitch trajectory classification using recurrent neural networks for monaural speech segregation. J. Supercomput. 76(10): 8193-8213 (2020)

2010 – 2019

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2019
[c16]
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  - conf/iccel/ParkKC19
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Chan Yong Park, Han-Gyu Kim, Ho-Jin Choi:
Robust Online Signature Verification Using Long-term Recurrent Convolutional Network. ICCE 2019: 1-6
2018
[c15]
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  - conf/bigcomp/ParkKLLHC18
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Chan Yong Park, Han-Gyu Kim, Dongkeon Lee, Zhun Li, Seung-Ho Han, Ho-Jin Choi:
Image Analogy with Gaussian Process. BigComp 2018: 522-525
[c14]
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  - conf/cikm/KwonKC18
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Minsu Kwon, Han-Gyu Kim, Ho-Jin Choi:
Improving Low-Rank Matrix Completion with Self-Expressiveness. CIKM 2018: 1651-1654
2017
[j3]
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Han-Gyu Kim, Gil-Jin Jang, Ho-Jin Choi, Myungeun Lim, Jaehun Choi:
Medical examination data prediction with missing information imputation based on recurrent neural networks. Int. J. Data Min. Bioinform. 19(3): 202-220 (2017)
[j2]
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  - journals/midm/KimOKLOC17
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Zae Myung Kim, Hyungrai Oh, Han-Gyu Kim, Chae-Gyun Lim, Kyo-Joong Oh, Ho-Jin Choi:
Modeling long-term human activeness using recurrent neural networks for biometric data. BMC Medical Informatics Decis. Mak. 17(S-1): 57:1-57:15 (2017)
[c13]
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Han-Gyu Kim, Gil-Jin Jang, Ho-Jin Choi, Minho Kim, Young-Won Kim, Jaehun Choi:
Recurrent neural networks with missing information imputation for medical examination data prediction. BigComp 2017: 317-323
[c12]
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ByungSoo Ko, Han-Gyu Kim, Kyo-Joong Oh, Ho-Jin Choi:
Controlled dropout: A different approach to using dropout on deep neural network. BigComp 2017: 358-362
[c11]
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You Jin Kim, Han-Gyu Kim, Jonghwan Hyeon, Ho-Jin Choi:
Clinical opinions generation from general blood test results using deep neural network with principle component analysis and regularization. BigComp 2017: 386-389
[c10]
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Seung-Ho Han, Han-Gyu Kim, Ho-Jin Choi:
Rehabilitation posture correction using deep neural network. BigComp 2017: 400-402
[c9]
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Han-Gyu Kim, Seung-Ho Han, Ho-Jin Choi:
Discriminative restricted Boltzmann machine for emergency detection on healthcare robot. BigComp 2017: 407-409
[c8]
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Seung-Ho Han, Han-Gyu Kim, Ho-Jin Choi:
A Novel Concept of the Rehabilitation Training Coach Robot for Patients with Disability. MDM 2017: 376-381
[c7]
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You Jin Kim, Han-Gyu Kim, Ho-Jin Choi:
Model Regularization of Deep Neural Networks for Robust Clinical Opinions Generation from General Blood Test Results. MDM 2017: 386-391
[c6]
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  - conf/medinfo/HanKPC17
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Seung-Ho Han, Han-Gyu Kim, Chan Yong Park, Ho-Jin Choi:
Design of Rehabilitation Treatment Coach Robot. MedInfo 2017: 1226
[c5]
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You Jin Kim, Han-Gyu Kim, Zhun Li, Ho-Jin Choi:
Avoiding Overfitting in Deep Neural Networks for Clinical Opinions Generation from General Blood Test Results. MedInfo 2017: 1274
[c4]
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ByungSoo Ko, Han-Gyu Kim, Ho-Jin Choi:
Controlled dropout: A different dropout for improving training speed on deep neural network. SMC 2017: 972-977
2016
[c3]
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Han-Gyu Kim, Gil-Jin Jang, Ho-Jin Choi, Minho Kim, Young-Won Kim, Jaehun Choi:
Medical examination data prediction using simple recurrent network and long short-term memory. EDB 2016: 26-34
2014
[i1]
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  - journals/corr/JangKO14
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Gil-Jin Jang, Han-Gyu Kim, Yung-Hwan Oh:
Audio Source Separation Using a Deep Autoencoder. CoRR abs/1412.7193 (2014)
2013
[j1]
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  - journals/imst/KimJPKO13
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Han-Gyu Kim, Gil-Jin Jang, Jeong-Sik Park, Ji-Hwan Kim, Yung-Hwan Oh:
Particle filtering based pitch sequence correction for monaural speech segregation. Int. J. Imaging Syst. Technol. 23(1): 64-70 (2013)
[c2]
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  - conf/interspeech/KimJPO13
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Han-Gyu Kim, Gil-Jin Jang, Jeong-Sik Park, Yung-Hwan Oh:
Monaural speech segregation based on pitch track correction using an ensemble kalman filter. INTERSPEECH 2013: 813-816
2012
[c1]
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  - conf/smc/KimPJO12
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Han-Gyu Kim, Jeong-Sik Park, Gil-Jin Jang, Yung-Hwan Oh:
Particle filtering by sigmoidal weight update for speech pitch correction. SMC 2012: 2574-2579

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