Papers

3

Total Citations

317

H-Index

3

About

Santosh Kumar Yadav is a leading researcher in multimodal human activity recognition and intelligent image retrieval systems. His most impactful work, the comprehensive 2021 review on multimodal human activity recognition, has garnered over 300 citations, establishing him as a key voice in synthesizing classification techniques, applications, and future directions for this rapidly evolving field. Beyond this seminal review, Yadav has made significant contributions to enhancing image search efficiency. He proposed a novel hybrid approach for image retrieval and re-ranking, addressing the critical challenge of aligning user intention with search results. His innovative "one-click" image search framework introduced a data fusion technique that seamlessly integrates text-based and content-based features, allowing users to refine results with minimal input. By developing methods that capture visual and textual cues through a single user click, Yadav’s work directly improves the relevance and usability of web-scale image search engines, particularly for social media platforms. His research bridges the gap between user intent and algorithmic retrieval, making him a notable figure in computer vision and human-computer interaction.

Research Focus

Key Achievements

3
H-Index
3
Papers
317
Total Citations
106
Avg Citations/Paper
🏆 Most Cited Paper
A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions
304 citations · 2021
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Central Electronics Engineering Research Institute, Shri Jagdishprasad Jhabarmal Tibrewala University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago