Abhishek V Doddagoudra
Papers
1
Total Citations
2
H-Index
1
About
Abhishek V Doddagoudra is a researcher at the forefront of computer vision and deep learning, with a focused expertise in human action recognition from video data. His most-cited work, "Human Action Recognition using Deep Learning Technique" (2023), introduces an innovative pipeline that combines Mediapipe for extracting human pose and movement information with Long Short-Term Memory (LSTM) networks for temporal sequence modeling. This approach addresses the critical challenge of decoding complex human activities in dynamic environments, offering a computationally efficient yet accurate solution for real-world applications such as surveillance, human-computer interaction, and assistive technologies. With 2 citations in a short span, his contribution is gaining traction as a practical framework in the field. Doddagoudra’s research bridges the gap between lightweight pose estimation and robust deep learning, making strides in making action recognition more accessible. His work stands out for its methodological clarity and potential for deployment in resource-constrained settings, marking him as an emerging voice in applied computer vision.
Research Focus
Key Achievements
Top Papers
- 1Human Action Recognition using Deep Learning Technique2 citations · 2023