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2020 – today
- 2024
[c20]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]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]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]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]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]Geonmo Gu, ByungSoo Ko, Han-Gyu Kim:
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning. AAAI 2021: 1460-1468 - [c17]ByungSoo Ko, Geonmo Gu, Han-Gyu Kim:
Learning with Memory-based Virtual Classes for Deep Metric Learning. ICCV 2021: 11772-11781 - [i4]Geonmo Gu, ByungSoo Ko, Han-Gyu Kim:
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning. CoRR abs/2103.15454 (2021) - [i3]ByungSoo Ko, Geonmo Gu, Han-Gyu Kim:
Learning with Memory-based Virtual Classes for Deep Metric Learning. CoRR abs/2103.16940 (2021) - [i2]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
- [j4]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
- 2019
- [c16]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]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]Minsu Kwon, Han-Gyu Kim, Ho-Jin Choi:
Improving Low-Rank Matrix Completion with Self-Expressiveness. CIKM 2018: 1651-1654 - 2017
- [j3]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]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]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]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]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]Seung-Ho Han, Han-Gyu Kim, Ho-Jin Choi:
Rehabilitation posture correction using deep neural network. BigComp 2017: 400-402 - [c9]Han-Gyu Kim, Seung-Ho Han, Ho-Jin Choi:
Discriminative restricted Boltzmann machine for emergency detection on healthcare robot. BigComp 2017: 407-409 - [c8]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]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]Seung-Ho Han, Han-Gyu Kim, Chan Yong Park, Ho-Jin Choi:
Design of Rehabilitation Treatment Coach Robot. MedInfo 2017: 1226 - [c5]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]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]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]Gil-Jin Jang, Han-Gyu Kim, Yung-Hwan Oh:
Audio Source Separation Using a Deep Autoencoder. CoRR abs/1412.7193 (2014) - 2013
- [j1]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]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]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
Coauthor Index
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