Muhammad Rafiq

Orcid: 0000-0001-6713-8766

Affiliations:
  • Keimyung University, Department of Game and Mobile Engineering, Korea
  • Yeungnam University, Department of Information and Communication Engineering, Gyeongsan-si, Korea (PhD 2022)


According to our database1, Muhammad Rafiq authored at least 10 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Video description: A comprehensive survey of deep learning approaches.
Artif. Intell. Rev., November, 2023

Spectral Representation Learning and Fusion for Autonomous Vehicles Trip Description Exploiting Recurrent Transformer.
IEEE Access, 2023

Quantum Mechanism-Based Convolution Model for the Classification of Pathogenic Bacteria.
IEEE Access, 2023

2022
DeepRide: Dashcam Video Description Dataset for Autonomous Vehicle Location-Aware Trip Description.
IEEE Access, 2022

SSNO: Spatio-Spectral Neural Operator for Functional Space Learning of Partial Differential Equations.
IEEE Access, 2022

DSFA-PINN: Deep Spectral Feature Aggregation Physics Informed Neural Network.
IEEE Access, 2022

2021
Video Description: Datasets & Evaluation Metrics.
IEEE Access, 2021

Optimizing Spatiotemporal Feature Learning in 3D Convolutional Neural Networks With Pooling Blocks.
IEEE Access, 2021

2020
Scene Classification for Sports Video Summarization Using Transfer Learning.
Sensors, 2020

2019
Soccer Video Summarization Using Deep Learning.
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019


  Loading...