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ORCIDInjung Kim 0001
Person information
- affiliation: Handong Global University, Computer Science and Electronical Engineering Department, Pohang, KOrea
- affiliation: Inzisoft Company Limited, Cognitive Research Center, Seoul, Korea
- affiliation: Korea Advanced Institute of Science and Technolog, KAIST, AI Laboratory, Computer Science Department, Korea
Other persons with the same name
- Injung Kim (aka: InJung Kim, In-Jung Kim) — disambiguation page
- Injung Kim 0002
![[0000-0002-1937-6310]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1937-6310")
(aka: In-Jung Kim 0002) — University of Pittsburgh, PY, USA - Injung Kim 0003 (aka: InJung Kim 0003) — Sungkyunkwan University, Information Security Group, ICSL, School of Information and Communication Engineering, (and 1 more)
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2020 – today
- 2024
[j13]Dougho Park, Younghun Kim, Harim Kang, Junmyeoung Lee, Jinyoung Choi, Taeyeon Kim, Sangeok Lee, Seokil Son, Minsol Kim, Injung Kim:
PECI-Net: Bolus segmentation from video fluoroscopic swallowing study images using preprocessing ensemble and cascaded inference. Comput. Biol. Medicine 172: 108241 (2024)- [j12]Kyoungmin Kim, Sangoh Lee, Injung Kim, Wook-Shin Han:
ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation. Proc. ACM Manag. Data 2(1): 45:1-45:27 (2024) - [i8]Dougho Park, Younghun Kim, Harim Kang, Junmyeoung Lee, Jinyoung Choi, Taeyeon Kim, Sangeok Lee, Seokil Son, Minsol Kim, Injung Kim:
PECI-Net: Bolus segmentation from video fluoroscopic swallowing study images using preprocessing ensemble and cascaded inference. CoRR abs/2403.14191 (2024) - 2023
- [j11]Junseok Oh, Donghwee Yoon, Injung Kim:
One-shot Ultra-high-Resolution Generative Adversarial Network That Synthesizes 16K Images On A Single GPU. Image Vis. Comput. 139: 104815 (2023) - [j10]Sungjae Kim, Yewon Kim, Jewoo Jun, Injung Kim:
MuSE-SVS: Multi-Singer Emotional Singing Voice Synthesizer That Controls Emotional Intensity. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2751-2764 (2023) - 2022
- [i7]Sungjae Kim, Kihyun Na, Choonghyeon Lee, Jehyeon An, Injung Kim:
U-Singer: Multi-Singer Singing Voice Synthesizer that Controls Emotional Intensity. CoRR abs/2203.00931 (2022) - [i6]Han Gyel Sun, Hyunjae Ahn, HyunGyu Lee, Injung Kim:
Unidirectional Thin Adapter for Efficient Adaptation of Deep Neural Networks. CoRR abs/2203.10463 (2022) - 2021
- [c8]Minsu Kang, Jihyun Lee, Simin Kim, Injung Kim:
Fast DCTTS: Efficient Deep Convolutional Text-to-Speech. ICASSP 2021: 7043-7047 - [i5]Minsu Kang, Jihyun Lee, Simin Kim, Injung Kim:
Fast DCTTS: Efficient Deep Convolutional Text-to-Speech. CoRR abs/2104.00624 (2021) - [i4]Minsu Kang, Sungjae Kim, Injung Kim:
UniTTS: Residual Learning of Unified Embedding Space for Speech Style Control. CoRR abs/2106.11171 (2021) - 2020
- [c7]Inyoung Paik, Sangjun Oh, Taeyeong Kwak, Injung Kim:
Overcoming Catastrophic Forgetting by Neuron-Level Plasticity Control. AAAI 2020: 5339-5346 - [c6]Jinhyeok Yang, Junmo Lee, Young-Ik Kim, Hoon-Young Cho, Injung Kim:
VocGAN: A High-Fidelity Real-Time Vocoder with a Hierarchically-Nested Adversarial Network. INTERSPEECH 2020: 200-204 - [i3]Jinhyeok Yang, Junmo Lee, Young-Ik Kim, Hoon-Young Cho, Injung Kim:
VocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network. CoRR abs/2007.15256 (2020)
2010 – 2019
- 2019
- [j9]Jinhyeok Yang, Heebeom Kim, Hyobin Kwak, Injung Kim:
HanFont: large-scale adaptive Hangul font recognizer using CNN and font clustering. Int. J. Document Anal. Recognit. 22(4): 407-416 (2019) - [c5]Inyoung Paik, Taeyeong Kwak, Injung Kim:
Capsule Networks Need an Improved Routing Algorithm. ACML 2019: 489-502 - [i2]Inyoung Paik, Sangjun Oh, Tae-Yeong Kwak, Injung Kim:
Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control. CoRR abs/1907.13322 (2019) - [i1]Inyoung Paik, Taeyeong Kwak, Injung Kim:
Capsule Networks Need an Improved Routing Algorithm. CoRR abs/1907.13327 (2019) - 2018
- [j8]Hanwool Park, Yechan Yoo, Yoonjin Park, Changdae Lee, Hakkyung Lee, Injung Kim, Kang Yi:
Toward Optimal FPGA Implementation of Deep Convolutional Neural Networks for Handwritten Hangul Character Recognition. J. Comput. Sci. Eng. 12(1): 24-35 (2018) - 2017
- [c4]Hanwool Park, Changdae Lee, Hakkyung Lee, Yechan Yoo, Yoonjin Park, Injung Kim, Kang Yi:
Optimizing DCNN FPGA accelerator design for handwritten hangul character recognition: work-in-progress. CASES 2017: 11:1-11:2 - 2016
- [j7]In-Jung Kim, Changbeom Choi, Sang-Heon Lee:
Improving discrimination ability of convolutional neural networks by hybrid learning. Int. J. Document Anal. Recognit. 19(1): 1-9 (2016) - [c3]Inho Jung, Jaewoong Choi, In-Jung Kim, Changbeom Choi:
Interactive learning environment for practical programming language based on web service. ITHET 2016: 1-7 - 2015
- [j6]In-Jung Kim, Xiaohui Xie:
Handwritten Hangul recognition using deep convolutional neural networks. Int. J. Document Anal. Recognit. 18(1): 1-13 (2015) - 2014
- [j5]Sangjin Ryu, In-Jung Kim:
Discrimination of similar characters using nonlinear normalization based on regional importance measure. Int. J. Document Anal. Recognit. 17(1): 79-89 (2014) - 2013
- [j4]Gyu-Ro Park, In-Jung Kim, Cheng-Lin Liu:
An evaluation of statistical methods in handwritten hangul recognition. Int. J. Document Anal. Recognit. 16(3): 273-283 (2013)
2000 – 2009
- 2003
- [j3]In-Jung Kim, Jin Hyung Kim:
Statistical Character Structure Modeling and Its Application to Handwritten Chinese Character Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 25(11): 1422-1436 (2003) - 2002
- [j2]In-Jung Kim, Jin Hyung Kim:
Pair-wise discrimination based on a stroke importance measure. Pattern Recognit. 35(10): 2259-2266 (2002) - 2001
- [j1]Cheng-Lin Liu, In-Jung Kim, Jin Hyung Kim:
Model-based stroke extraction and matching for handwritten Chinese character recognition. Pattern Recognit. 34(12): 2339-2352 (2001)
1990 – 1999
- 1999
- [c2]In-Jung Kim, Jin Hyung Kim, Cheng-Lin Liu:
Stroke-guided Pixel Matching for Handwritten Chinese Character Recognition. ICDAR 1999: 665-668 - 1997
- [c1]Cheng-Lin Liu, In-Jung Kim, Jin Hyung Kim:
High Accuracy Handwritten Chinese Character Recognition by Improved Feature Matching Method. ICDAR 1997: 1033-1037
Coauthor Index
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