Min Je Kim

Orcid: 0009-0007-8839-5260

According to our database1, Min Je Kim authored at least 14 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Deep hybrid network with additive attention for accurate population forecasting.
Soft Comput., April, 2026

Pseudo-labeling driven refinement of benchmark object detection datasets via analysis of learning patterns.
Neurocomputing, 2026

2025
Big Data Analysis for Industrial Activity Recognition Using Attention-Inspired Sequential Temporal Convolution Network.
IEEE Trans. Big Data, August, 2025

Dual stream deep attention networks for annual population projection.
Pattern Anal. Appl., June, 2025

Optimized cross-module attention network and medium-scale dataset for effective fire detection.
Pattern Recognit., 2025

EFNet-CSM: EfficientNet with a modified attention mechanism for effective fire detection.
Knowl. Based Syst., 2025

Hierarchical attention-based framework for enhanced prediction and optimization of organic and inorganic material synthesis.
Adv. Eng. Informatics, 2025

2024
Darkness-Adaptive Action Recognition: Leveraging Efficient Tubelet Slow-Fast Network for Industrial Applications.
IEEE Trans. Ind. Informatics, December, 2024

Contextual visual and motion salient fusion framework for action recognition in dark environments.
Knowl. Based Syst., 2024

Industrial defective chips detection using deep convolutional neural network with inverse feature matching mechanism.
J. Comput. Des. Eng., 2024

An efficient deep learning architecture for effective fire detection in smart surveillance.
Image Vis. Comput., 2024

TDS-Net: Transformer enhanced dual-stream network for video Anomaly Detection.
Expert Syst. Appl., 2024

Medium Scale Benchmark for Cricket Excited Actions Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
eCubeLand: An Intelligent Multiview Video Data Modeling.
IEEE Multim., 2023


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