Nam Joon Kim

Orcid: 0009-0009-8200-039X

According to our database1, Nam Joon Kim authored at least 17 papers between 2008 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

Improving ASR Performance with OCR Through Using Word Frequency Difference.
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

Hardware-friendly Activation Functions for HybridViT Models.
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

GPIL: Gradient with PseudoInverse Learning for High Accuracy Fine-Tuning.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2020
Mask-Soft Filter Pruning for Lightweight CNN Inference.
Proceedings of the International SoC Design Conference, 2020

2009
Two-bit transform based block motion estimation using second derivatives.
IEEE Trans. Consumer Electron., 2009

2008
Probabilistic Global Motion Estimation Based on Laplacian Two-Bit Plane Matching for Fast Digital Image Stabilization.
EURASIP J. Adv. Signal Process., 2008


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