Nam Joon Kim
Orcid: 0009-0009-8200-039X
According to our database1,
Nam Joon Kim
authored at least 20 papers
between 2007 and 2025.
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Bibliography
2025
Hardware-Friendly Quantization via Outlier Scaling in Convolution-Attention-Based Hybrid Networks.
Proceedings of the IEEE International Conference on Consumer Electronics, 2025
Proceedings of the International Conference on Electronics, Information, and Communication, 2025
Proceedings of the International Conference on Electronics, Information, and Communication, 2025
2024
Mobile-X: Dedicated FPGA Implementation of the MobileNet Accelerator Optimizing Depthwise Separable Convolution.
IEEE Trans. Circuits Syst. II Express Briefs, November, 2024
Survey of convolutional neural network accelerators on field-programmable gate array platforms: architectures and optimization techniques.
J. Real Time Image Process., May, 2024
Trunk Pruning: Highly Compatible Channel Pruning for Convolutional Neural Networks Without Fine-Tuning.
IEEE Trans. Multim., 2024
Analysis about Theoretical Foundations for Method to Enhancing ASR Performance using OCR Word Frequency Differences.
CoRR, 2024
Hardware-aware Network Compression for Hybrid Vision Transformer via Low-Rank Approximation.
Proceedings of the 21st International SoC Design Conference, 2024
HyQ: Hardware-Friendly Post-Training Quantization for CNN-Transformer Hybrid Networks.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the International Conference on Electronics, Information, and Communication, 2024
Enhancing ASR Performance through Relative Word Frequency in OCR and Normal Word Frequency Analysis.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024
2023
FP-AGL: Filter Pruning With Adaptive Gradient Learning for Accelerating Deep Convolutional Neural Networks.
IEEE Trans. Multim., 2023
Proceedings of the 20th International SoC Design Conference, 2023
RepSGD: Channel Pruning Using Reparamerization for Accelerating Convolutional Neural Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
Deep learning classification of focal liver lesions with contrast-enhanced ultrasound from arterial phase recordings.
Proceedings of the International Conference on Electronics, Information, and Communication, 2023
AGT: Channel Pruning Using Adaptive Gradient Training for Accelerating Convolutional Neural Networks.
Proceedings of the International Conference on Electronics, Information, and Communication, 2023
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
2020
Proceedings of the International SoC Design Conference, 2020
2008
Probabilistic Global Motion Estimation Based on Laplacian Two-Bit Plane Matching for Fast Digital Image Stabilization.
EURASIP J. Adv. Signal Process., 2008
2007
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007