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2020 – today
- 2024
[c9]Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, Heesu Kim:
ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection. AAAI 2024: 2462-2470- [c8]Jisu Nam, Heesu Kim, DongJae Lee, Siyoon Jin, Seungryong Kim, Seunggyu Chang:
DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization. CVPR 2024: 8100-8110 - [i5]Jisu Nam, Heesu Kim, DongJae Lee, Siyoon Jin, Seungryong Kim, Seunggyu Chang:
DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization. CoRR abs/2402.09812 (2024) - 2023
- [i4]Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, Heesu Kim:
ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection. CoRR abs/2312.07266 (2023) - 2021
- [c7]Jihwan Bang, Heesu Kim, Youngjoon Yoo, Jung-Woo Ha
, Jonghyun Choi:
Rainbow Memory: Continual Learning With a Memory of Diverse Samples. CVPR 2021: 8218-8227 - [c6]Heesu Kim, Hanmin Park, Taehyun Kim, Kwanheum Cho, Eojin Lee, Soojung Ryu, Hyuk-Jae Lee, Kiyoung Choi, Jinho Lee:
GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent. HPCA 2021: 249-262 - [i3]Heesu Kim, Hanmin Park, Taehyun Kim, Kwanheum Cho, Eojin Lee, Soojung Ryu, Hyuk-Jae Lee, Kiyoung Choi, Jinho Lee:
GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent. CoRR abs/2102.07511 (2021) - [i2]Jihwan Bang, Heesu Kim, Young Joon Yoo, Jung-Woo Ha, Jonghyun Choi:
Rainbow Memory: Continual Learning with a Memory of Diverse Samples. CoRR abs/2103.17230 (2021) - 2020
- [j5]Heesu Kim, Jongho Kim, Hussam Amrouch, Jörg Henkel, Andreas Gerstlauer, Kiyoung Choi, Hanmin Park:
Aging Compensation With Dynamic Computation Approximation. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. 67-I(4): 1319-1332 (2020) - [i1]Jihwan Bang, Heesu Kim, Youngjoon Yoo, Jung-Woo Ha:
Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization. CoRR abs/2006.11021 (2020)
2010 – 2019
- 2019
- [c5]Jongho Kim, Heesu Kim, Hussam Amrouch, Jörg Henkel, Andreas Gerstlauer, Kiyoung Choi:
Aging Gracefully with Approximation. ISCAS 2019: 1-5 - 2018
- [j4]Jaehyun Kim, Heesu Kim, Subin Huh, Jinho Lee, Kiyoung Choi:
Deep neural networks with weighted spikes. Neurocomputing 311: 373-386 (2018) - [c4]Heesu Kim, Euntae Choi, Kiyoung Choi:
Speaker Verification based on Deep Neural Network for Text-Constrained Short Commands. APSIPA 2018: 1766-1770 - [c3]Taehoon Eom, Heesu Kim, SeongMo An, Jong Sou Park, Dong Seong Kim:
Android Malware Detection Using Feature Selections and Random Forest. ICSSA 2018: 55-61 - 2017
- [j3]Wonseok Choi, Jungsub Oh, Heesu Kim, Jaehyun Kim:
Classifying Arm Movement with Embedded System and Machine Learning. Int. J. Fuzzy Log. Intell. Syst. 17(2): 91-97 (2017) - [j2]Jinho Lee, Heesu Kim, Sungjoo Yoo, Kiyoung Choi, H. Peter Hofstee, Gi-Joon Nam, Mark Nutter, Damir A. Jamsek:
ExtraV: Boosting Graph Processing Near Storage with a Coherent Accelerator. Proc. VLDB Endow. 10(12): 1706-1717 (2017) - [c2]Heesu Kim, Hyungsik Han, Hyuncheol Park:
Waveform design for QAM-FBMC systems. SPAWC 2017: 1-5 - [c1]Heesu Kim, Joonsang Yu, Kiyoung Choi:
Hybrid spiking-stochastic Deep Neural Network. VLSI-DAT 2017: 1-4 - 2016
- [j1]Hyungsik Han, Heesu Kim, Namshik Kim, Hyuncheol Park:
An Enhanced QAM-FBMC Scheme With Interference Mitigation. IEEE Commun. Lett. 20(11): 2237-2240 (2016)
Coauthor Index
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last updated on 2024-10-07 22:11 CEST by the dblp team
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