Khaled Rasheed

University of Georgia

Papers

2

Total Citations

118

H-Index

2

About

Khaled Rasheed is a leading researcher in artificial intelligence, with a primary focus on deep learning applications for computer vision and natural language processing. His most impactful work centers on the automatic generation of descriptive captions for visual media, addressing one of the most intellectually challenging problems in imaging science. Rasheed’s 2020 review, “Automatic Image and Video Caption Generation With Deep Learning,” which has garnered 94 citations, provides a comprehensive synthesis of deep learning methodologies for image and video captioning, highlighting algorithmic overlaps and setting a foundation for future research. He further advanced this field with his 2021 study on generating descriptive titles for video clips, demonstrating practical applications of these techniques. With a total of over 100 citations from his most-cited works, Rasheed’s contributions are shaping how machines interpret and describe visual content, bridging the gap between raw data and human-like understanding. His work is essential reading for students and researchers exploring the intersection of AI, vision, and language.

Research Focus

Key Achievements

2
H-Index
2
Papers
118
Total Citations
59
Avg Citations/Paper
🏆 Most Cited Paper
Automatic Image and Video Caption Generation With Deep Learning: A Concise Review and Algorithmic Overlap
94 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Georgia

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago