Rupesh Konduru
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Researcher
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Rupesh Konduru's research focuses on the application of machine learning techniques, particularly vision transformers, to computer vision tasks. He has co-authored publications in 2024 and 2025 exploring the optimization of multi-class object detection and bounding box regression using customized loss functions. His work also extends to medical image analysis, with a publication in 2025 on skin lesion segmentation utilizing improved topological image processing. Konduru's academic contributions include 3 publications with 2 citations and an h-index of 1. He has collaborated with Hong Cheng at Southern Arkansas University on one shared publication.
Metrics
- h-index: 1
- Publications: 3
- Citations: 2
Selected Publications
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Skin Lesion Segmentation Using Improved Topological Image Processing (2025)
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Multi-Class Label Detection and Bounding Box Regression Using Transformer with a Customized Loss Function (2024)
Collaboration Network
Top Collaborators
- Multi-Class Label Detection and Bounding Box Regression Using Transformer with a Customized Loss Function
- Skin Lesion Segmentation Using Improved Topological Image Processing
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