Nam Joon Kim

20 papers A* 2A 1C 2Journal 6Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
FAB: FPGA-Accelerated Fully-Pipelined Bottleneck Architecture With Batching for High-Performance MobileNetv2 Inference.
IEEE Trans. Circuits Syst. I Regul. Pap.
Young Chan Kim, Nam Joon Kim, Hyun Kim
2025 C conf
Hardware-Friendly Quantization via Outlier Scaling in Convolution-Attention-Based Hybrid Networks.
ICCE
Nam Joon Kim, Hyun Kim
2025 — conf
Intuitive Robot Arm Control System Based on HMD Hand Tracking.
ICEIC
Seung Jun Lee, Tae Hyeong Kim, Hyeong Jin Do, Kyudan Jung, Hyun Gon Ryu, Nam Joon Kim
2025 A* conf
LRA-QViT: Integrating Low-Rank Approximation and Quantization for Robust and Efficient Vision Transformers.
ICML
Beom Jin Kang, Nam Joon Kim, Hyun Kim
2024 J jnl
Analysis about Theoretical Foundations for Method to Enhancing ASR Performance using OCR Word Frequency Differences.
CoRR
Kyudan Jung, Nam Joon Kim, Hyun Gon Ryu, Hyuk-Jae Lee
2024 — conf
Enhancing ASR Performance through Relative Word Frequency in OCR and Normal Word Frequency Analysis.
AICAS
Kyudan Jung, Seungmin Bae, Nam Joon Kim, Jaepil Lim, Hyun Gon Ryu, Hyuk-Jae Lee
2024 — conf
Hardware-aware Network Compression for Hybrid Vision Transformer via Low-Rank Approximation.
ISOCC
Beom Jin Kang, Nam Joon Kim, Hyun Kim
2024 A* conf
HyQ: Hardware-Friendly Post-Training Quantization for CNN-Transformer Hybrid Networks.
IJCAI
Nam Joon Kim, Jongho Lee, Hyun Kim
2024 — conf
Improving ASR Performance with OCR Through Using Word Frequency Difference.
ICEIC
Kyudan Jung, Seungmin Bae, Nam Joon Kim, Hyun Gon Ryu, Hyuk-Jae Lee
2024 J jnl
Trunk Pruning: Highly Compatible Channel Pruning for Convolutional Neural Networks Without Fine-Tuning.
IEEE Trans. Multim.
Nam Joon Kim, Hyun Kim
2023 — conf
AGT: Channel Pruning Using Adaptive Gradient Training for Accelerating Convolutional Neural Networks.
ICEIC
Nam Joon Kim, Hyun Kim
2023 — conf
Deep learning classification of focal liver lesions with contrast-enhanced ultrasound from arterial phase recordings.
ICEIC
Nam Joon Kim, Won Jae Lee, Hyuk-Jae Lee
2023 J jnl
FP-AGL: Filter Pruning With Adaptive Gradient Learning for Accelerating Deep Convolutional Neural Networks.
IEEE Trans. Multim.
Nam Joon Kim, Hyun Kim
2023 — conf
GPIL: Gradient with PseudoInverse Learning for High Accuracy Fine-Tuning.
AICAS
Gilha Lee, Nam Joon Kim, Hyun Kim
2023 — conf
Hardware-friendly Activation Functions for HybridViT Models.
ISOCC
Beom Jin Kang, Nam Joon Kim, Jong Ho Lee, Hyun Kim
2023 C conf
RepSGD: Channel Pruning Using Reparamerization for Accelerating Convolutional Neural Networks.
ISCAS
Nam Joon Kim, Hyun Kim
2020 — conf
Mask-Soft Filter Pruning for Lightweight CNN Inference.
ISOCC
Nam Joon Kim, Hyun Kim
2009 J jnl
Two-bit transform based block motion estimation using second derivatives.
IEEE Trans. Consumer Electron.
Nam Joon Kim, Sarp Ertürk, Hyuk-Jae Lee
2008 J jnl
Probabilistic Global Motion Estimation Based on Laplacian Two-Bit Plane Matching for Fast Digital Image Stabilization.
EURASIP J. Adv. Signal Process.
Nam Joon Kim, Hyuk-Jae Lee, Jae-Beom Lee
2007 A conf
Two-Bit Transform Based Block Motion Estimation using Second Derivatives.
ICME
Nam Joon Kim, Sarp Ertürk, Hyuk-Jae Lee