Probabilistic Global Motion Estimation Based on Laplacian Two-Bit Plane Matching for Fast Digital Image Stabilization. - Nam Joon Kim; Hyuk-Jae Lee; Jae-Beom Lee (EURASIP J. Adv. Signal Process., 2008)

Two-bit transform based block motion estimation using second derivatives. - Nam Joon Kim; Sarp Ertürk; Hyuk-Jae Lee (IEEE Trans. Consumer Electron., 2009)

Mask-Soft Filter Pruning for Lightweight CNN Inference. - Nam Joon Kim; Hyun Kim 001 (ISOCC, 2020)

GPIL: Gradient with PseudoInverse Learning for High Accuracy Fine-Tuning. - Gilha Lee; Nam Joon Kim; Hyun Kim 001 (AICAS, 2023)

AGT: Channel Pruning Using Adaptive Gradient Training for Accelerating Convolutional Neural Networks. - Nam Joon Kim; Hyun Kim 001 (ICEIC, 2023)

Deep learning classification of focal liver lesions with contrast-enhanced ultrasound from arterial phase recordings. - Nam Joon Kim; Won Jae Lee; Hyuk-Jae Lee (ICEIC, 2023)

RepSGD: Channel Pruning Using Reparamerization for Accelerating Convolutional Neural Networks. - Nam Joon Kim; Hyun Kim 001 (ISCAS, 2023)

Hardware-friendly Activation Functions for HybridViT Models. - Beom Jin Kang; Nam Joon Kim; Jong Ho Lee; Hyun Kim 001 (ISOCC, 2023)

FP-AGL: Filter Pruning With Adaptive Gradient Learning for Accelerating Deep Convolutional Neural Networks. - Nam Joon Kim; Hyun Kim 001 (IEEE Trans. Multim., 2023)

Enhancing ASR Performance through Relative Word Frequency in OCR and Normal Word Frequency Analysis. - Kyudan Jung; Seungmin Bae; Nam Joon Kim; Jaepil Lim; Hyun Gon Ryu; Hyuk-Jae Lee (AICAS, 2024)

Improving ASR Performance with OCR Through Using Word Frequency Difference. - Kyudan Jung; Seungmin Bae; Nam Joon Kim; Hyun Gon Ryu; Hyuk-Jae Lee (ICEIC, 2024)

HyQ: Hardware-Friendly Post-Training Quantization for CNN-Transformer Hybrid Networks. - Nam Joon Kim; Jongho Lee; Hyun Kim 001 (IJCAI, 2024)

Hardware-aware Network Compression for Hybrid Vision Transformer via Low-Rank Approximation. - Beom Jin Kang; Nam Joon Kim; Hyun Kim 001 (ISOCC, 2024)

Analysis about Theoretical Foundations for Method to Enhancing ASR Performance using OCR Word Frequency Differences. - Kyudan Jung; Nam Joon Kim; Hyun Gon Ryu; Hyuk-Jae Lee (CoRR, 2024)

Trunk Pruning: Highly Compatible Channel Pruning for Convolutional Neural Networks Without Fine-Tuning. - Nam Joon Kim; Hyun Kim 001 (IEEE Trans. Multim., 2024)

Survey of convolutional neural network accelerators on field-programmable gate array platforms: architectures and optimization techniques. - Hyeonseok Hong; Dahun Choi; Namjoon Kim; Haein Lee; Beom Jin Kang; Huibeom Kang; Hyun Kim 001 (J. Real Time Image Process., 2024)

Mobile-X: Dedicated FPGA Implementation of the MobileNet Accelerator Optimizing Depthwise Separable Convolution. - Hyeonseok Hong; Dahun Choi; Namjoon Kim; Hyun Kim 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Intuitive Robot Arm Control System Based on HMD Hand Tracking. - Seung Jun Lee; Tae Hyeong Kim; Hyeong Jin Do; Kyudan Jung; Hyun Gon Ryu; Nam Joon Kim (ICEIC, 2025)

LAMP-Q: Layer Sensitivity-Aware Mixed-Precision Quantization for MobileNetV3. - Seokkyu Yoon; Namjoon Kim; Hyun Kim 001 (ICEIC, 2025)

Hardware-Friendly Quantization via Outlier Scaling in Convolution-Attention-Based Hybrid Networks. - Nam Joon Kim; Hyun Kim 001 (ICCE, 2025)