Altaf Hussain
Orcid: 0000-0001-8163-407XAffiliations:
- Korea Advanced Institute of Science and Technology, Department of Mechanical Engineering, Daejeon, Korea
- Sejong University, Seoul, Korea
According to our database1,
Altaf Hussain authored at least 15 papers
between 2021 and 2026.
Collaborative distances:
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Bibliography
2026
Quality over quantity: a data-centric survey of annotation errors in object detection datasets.
Artif. Intell. Rev., March, 2026
Pseudo-labeling driven refinement of benchmark object detection datasets via analysis of learning patterns.
Neurocomputing, 2026
Differential attention transformer-enhanced graph neural network for accurate material property prediction.
Eng. Appl. Artif. Intell., 2026
2025
Big Data Analysis for Industrial Activity Recognition Using Attention-Inspired Sequential Temporal Convolution Network.
IEEE Trans. Big Data, August, 2025
Eng. Appl. Artif. Intell., 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
A Hybrid Transformer Framework for Efficient Activity Recognition Using Consumer Electronics.
IEEE Trans. Consumer Electron., November, 2024
AI-driven behavior biometrics framework for robust human activity recognition in surveillance systems.
Eng. Appl. Artif. Intell., January, 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
Human centric attention with deep multiscale feature fusion framework for activity recognition in Internet of Medical Things.
Inf. Fusion, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2022
Complex., 2022
2021
Abnormal Activity Recognition from Surveillance Videos Using Convolutional Neural Network.
Sensors, 2021