Injung Kim

Orcid: 0000-0003-4439-6097

Affiliations:
  • Handong Global University, Computer Science and Electronical Engineering Department, Pohang, KOrea
  • Inzisoft Company Limited, Cognitive Research Center, Seoul, Korea
  • Korea Advanced Institute of Science and Technolog, KAIST, AI Laboratory, Computer Science Department, Korea


According to our database1, Injung Kim authored at least 25 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Item-region-based style classification network (IRSN): a fashion style classifier based on domain knowledge of fashion experts.
Appl. Intell., October, 2024

ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation.
Proc. ACM Manag. Data, February, 2024

PECI-Net: Bolus segmentation from video fluoroscopic swallowing study images using preprocessing ensemble and cascaded inference.
Comput. Biol. Medicine, 2024

2023
One-shot Ultra-high-Resolution Generative Adversarial Network That Synthesizes 16K Images On A Single GPU.
Image Vis. Comput., November, 2023

MuSE-SVS: Multi-Singer Emotional Singing Voice Synthesizer That Controls Emotional Intensity.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

2022
Unidirectional Thin Adapter for Efficient Adaptation of Deep Neural Networks.
CoRR, 2022

U-Singer: Multi-Singer Singing Voice Synthesizer that Controls Emotional Intensity.
CoRR, 2022

2021
UniTTS: Residual Learning of Unified Embedding Space for Speech Style Control.
CoRR, 2021

Fast DCTTS: Efficient Deep Convolutional Text-to-Speech.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
VocGAN: A High-Fidelity Real-Time Vocoder with a Hierarchically-Nested Adversarial Network.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Overcoming Catastrophic Forgetting by Neuron-Level Plasticity Control.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
HanFont: large-scale adaptive Hangul font recognizer using CNN and font clustering.
Int. J. Document Anal. Recognit., 2019

Capsule Networks Need an Improved Routing Algorithm.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
Toward Optimal FPGA Implementation of Deep Convolutional Neural Networks for Handwritten Hangul Character Recognition.
J. Comput. Sci. Eng., 2018

2017
Optimizing DCNN FPGA accelerator design for handwritten hangul character recognition: work-in-progress.
Proceedings of the 2017 International Conference on Compilers, 2017

2016
Improving discrimination ability of convolutional neural networks by hybrid learning.
Int. J. Document Anal. Recognit., 2016

Interactive learning environment for practical programming language based on web service.
Proceedings of the 15th International Conference on Information Technology Based Higher Education and Training, 2016

2015
Handwritten Hangul recognition using deep convolutional neural networks.
Int. J. Document Anal. Recognit., 2015

2014
Discrimination of similar characters using nonlinear normalization based on regional importance measure.
Int. J. Document Anal. Recognit., 2014

2013
An evaluation of statistical methods in handwritten hangul recognition.
Int. J. Document Anal. Recognit., 2013

2003
Statistical Character Structure Modeling and Its Application to Handwritten Chinese Character Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

2002
Pair-wise discrimination based on a stroke importance measure.
Pattern Recognit., 2002

2001
Model-based stroke extraction and matching for handwritten Chinese character recognition.
Pattern Recognit., 2001

1999
Stroke-guided Pixel Matching for Handwritten Chinese Character Recognition.
Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999

1997
High Accuracy Handwritten Chinese Character Recognition by Improved Feature Matching Method.
Proceedings of the 4th International Conference Document Analysis and Recognition (ICDAR '97), 1997


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