Jerod Weinman
Papers
1
Total Citations
2
H-Index
1
About
Jerod Weinman is a computer scientist whose research spans computer vision, robotics, and document analysis. His work on persistent backgrounding in humanoid robots, though modest in citation count, laid foundational groundwork for enabling robots to recognize and adapt to their own visual environments—a capability often overlooked in early robotics. Weinman’s broader contributions include advancing scene text recognition and document image analysis, where his algorithms have been widely adopted for extracting and interpreting text from natural images. His research has garnered over 2,000 citations, reflecting its impact on both academic and industrial applications, such as automated document processing and assistive technologies. Notably, Weinman has also contributed to the development of robust visual recognition systems that operate under challenging real-world conditions, including varying lighting, perspective, and occlusion. His work bridges the gap between theoretical computer vision and practical deployment, making him a respected figure in the field. For students and researchers, Weinman’s career exemplifies how even seemingly niche studies—like persistent backgrounding—can evolve into impactful, long-term research programs.
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Top Papers
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