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Nam Joon Kim
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2020 – today
- 2024
- [j6]Hyeonseok Hong, Dahun Choi, Namjoon Kim, Haein Lee, Beom Jin Kang, Huibeom Kang, Hyun Kim:
Survey of convolutional neural network accelerators on field-programmable gate array platforms: architectures and optimization techniques. J. Real Time Image Process. 21(3): 64 (2024) - [j5]Hyeonseok Hong, Dahun Choi, Namjoon Kim
, Hyun Kim
Mobile-X: Dedicated FPGA Implementation of the MobileNet Accelerator Optimizing Depthwise Separable Convolution. IEEE Trans. Circuits Syst. II Express Briefs 71(11): 4668-4672 (2024) - [j4]Nam Joon Kim
Trunk Pruning: Highly Compatible Channel Pruning for Convolutional Neural Networks Without Fine-Tuning. IEEE Trans. Multim. 26: 5588-5599 (2024) - [c11]Kyudan Jung, Seungmin Bae, Nam Joon Kim, Jaepil Lim, Hyun Gon Ryu, Hyuk-Jae Lee:
Enhancing ASR Performance through Relative Word Frequency in OCR and Normal Word Frequency Analysis. AICAS 2024: 71-74 - [c10]Kyudan Jung, Seungmin Bae, Nam Joon Kim, Hyun Gon Ryu, Hyuk-Jae Lee:
Improving ASR Performance with OCR Through Using Word Frequency Difference. ICEIC 2024: 1-4 - [c9]Nam Joon Kim, Jongho Lee, Hyun Kim:
HyQ: Hardware-Friendly Post-Training Quantization for CNN-Transformer Hybrid Networks. IJCAI 2024: 4291-4299 - [c8]Beom Jin Kang, Nam Joon Kim, Hyun Kim:
Hardware-aware Network Compression for Hybrid Vision Transformer via Low-Rank Approximation. ISOCC 2024: 171-172 - [i1]Kyudan Jung, Nam Joon Kim, Hyun Gon Ryu, Hyuk-Jae Lee:
Analysis about Theoretical Foundations for Method to Enhancing ASR Performance using OCR Word Frequency Differences. CoRR abs/2405.02995 (2024) - 2023
- [j3]Nam Joon Kim, Hyun Kim
FP-AGL: Filter Pruning With Adaptive Gradient Learning for Accelerating Deep Convolutional Neural Networks. IEEE Trans. Multim. 25: 5279-5290 (2023) - [c7]Gilha Lee, Nam Joon Kim, Hyun Kim:
GPIL: Gradient with PseudoInverse Learning for High Accuracy Fine-Tuning. AICAS 2023: 1-5 - [c6]Nam Joon Kim, Hyun Kim:
AGT: Channel Pruning Using Adaptive Gradient Training for Accelerating Convolutional Neural Networks. ICEIC 2023: 1-3 - [c5]Nam Joon Kim, Won Jae Lee, Hyuk-Jae Lee:
Deep learning classification of focal liver lesions with contrast-enhanced ultrasound from arterial phase recordings. ICEIC 2023: 1-3 - [c4]Nam Joon Kim, Hyun Kim:
RepSGD: Channel Pruning Using Reparamerization for Accelerating Convolutional Neural Networks. ISCAS 2023: 1-5 - [c3]Beom Jin Kang, Nam Joon Kim, Jong Ho Lee, Hyun Kim:
Hardware-friendly Activation Functions for HybridViT Models. ISOCC 2023: 147-148 - 2020
- [c2]Nam Joon Kim, Hyun Kim:
Mask-Soft Filter Pruning for Lightweight CNN Inference. ISOCC 2020: 316-317
2000 – 2009
- 2009
- [j2]Nam Joon Kim, Sarp Ertürk, Hyuk-Jae Lee:
Two-bit transform based block motion estimation using second derivatives. IEEE Trans. Consumer Electron. 55(2): 902-910 (2009) - 2008
- [j1]Nam Joon Kim, Hyuk-Jae Lee, Jae-Beom Lee:
Probabilistic Global Motion Estimation Based on Laplacian Two-Bit Plane Matching for Fast Digital Image Stabilization. EURASIP J. Adv. Signal Process. 2008 (2008) - 2007
- [c1]Nam Joon Kim, Sarp Ertürk, Hyuk-Jae Lee:
Two-Bit Transform Based Block Motion Estimation using Second Derivatives. ICME 2007: 1615-1618
Coauthor Index
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