Papers
1
Total Citations
15
H-Index
1
About
Jeong-Ho Woo is a leading figure in energy-efficient, bio-inspired computing, with a focus on real-time object recognition and neural perception engines. His most-cited work, a 2009 paper on a 201.4 GOPS, 496 mW multi-object recognition processor, introduced a visual attention mechanism modeled after human perception to dramatically improve computational efficiency. This chip advanced beyond prior designs by enabling simultaneous recognition of multiple objects in a single frame, overcoming a key limitation of earlier systems. With 15 citations, the paper exemplifies Woo's impact in bridging neuroscience and hardware design for low-power, high-performance vision systems. His contributions are pivotal for embedded and mobile applications, where real-time object detection must balance speed and energy consumption. Woo’s work continues to inspire research into neuromorphic architectures and efficient perceptual computing, marking him as a key innovator in the field of intelligent, bio-inspired processors.
Research Focus
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Top Papers
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