Eunsung Lee

Chung-Ang University, Sungkyunkwan University

Papers

Total Citations

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About

Eunsung Lee is a pioneering researcher at the intersection of computational imaging and human-computer interaction, with key contributions in computational photography, depth estimation, and AI-mediated social behavior. Lee’s seminal work, "Multifocusing and Depth Estimation Using a Color Shift Model-Based Computational Camera" (2012, 38 citations), introduced a novel multiple color-filter aperture (MCA) camera that exploits chromatic misalignment for precise depth mapping and multifocusing—a breakthrough in single-sensor 3D imaging. Building on this, Lee’s "Fast Image Restoration for Spatially Varying Defocus Blur of Imaging Sensor" (2015, 29 citations) developed an adaptive restoration method that efficiently corrects space-variant defocus blur, advancing real-time image quality for general sensors. More recently, Lee has ventured into behavioral technology with "Legitimization of paltry favors effect and chatbot-moderated fundraising" (2023, 7 citations), exploring how conversational AI can ethically nudge prosocial behavior—a novel application of psychological principles to human-AI interaction. With over 74 combined citations across these works, Lee’s research demonstrates a rare versatility, bridging optical engineering and social computing. Their work on the MCA camera remains a foundational reference in computational photography, while their foray into chatbot ethics signals a timely shift toward responsible AI design.