Hyun Kim

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 11

Top Topics

Pruning Methods

Convolutional Neural Networks

Object Detectors

Top Venues

IEEE Trans. Multim.

IEEE Trans. Circuits Syst. II Express Briefs

Publications

Dayoung Chun, Seungil Lee, Hyun Kim
USD: Uncertainty-Based One-Phase Learning to Enhance Pseudo-Label Reliability for Semi-Supervised Object Detection. IEEE Trans. Multim. 26 (2024)
Kwanghyun Koo, Hyun Kim
Extreme Pruning Technique Based on Filter Deactivation Using Sparsity Training for Deep Convolutional Neural Networks. ICEIC (2024)
Nam Joon Kim, Hyun Kim
Trunk Pruning: Highly Compatible Channel Pruning for Convolutional Neural Networks Without Fine-Tuning. IEEE Trans. Multim. 26 (2024)
Jongho Lee, Hyun Kim
DCT-ViT: High-Frequency Pruned Vision Transformer With Discrete Cosine Transform. IEEE Access 12 (2024)
Dayoung Chun, Hyuk-Jae Lee, Hyun Kim
PF-Training: Parameter Freezing for Efficient On-Device Training of CNN-based Object Detectors in Low-Resource Environments. AICAS (2024)
Inseong Hwang, Jihoon Jang, Hyun Kim
An Architecture-Level Framework for Enabling Processing-Using-Memory Simulations in Deep Neural Networks. ICEIC (2024)
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) (2024)
Nam Joon Kim, Hyun Kim
FP-AGL: Filter Pruning With Adaptive Gradient Learning for Accelerating Deep Convolutional Neural Networks. IEEE Trans. Multim. 25 (2023)
Kwanghyun Koo, Hyun Kim
V-SKP: Vectorized Kernel-Based Structured Kernel Pruning for Accelerating Deep Convolutional Neural Networks. IEEE Access 11 (2023)
Subin Ki, Juntae Park, Hyun Kim
Dedicated FPGA Implementation of the Gaussian TinyYOLOv3 Accelerator. IEEE Trans. Circuits Syst. II Express Briefs 70 (10) (2023)
Jeongjun Lee, Hyun Kim
Multi-Step Training Framework Using Sparsity Training for Efficient Utilization of Accumulated New Data in Convolutional Neural Networks. IEEE Access 11 (2023)