Ethan Tseng
Papers
5
Total Citations
116
H-Index
4
About
Ethan Tseng is a researcher working at the cutting-edge intersection of computational imaging, optics, and computer vision, with a particular focus on developing novel imaging systems for real-world and adverse environmental conditions. His work spans the design of intelligent optical hardware and the machine learning algorithms that complement it, pushing the boundaries of what modern imaging systems can achieve. Tseng's most recognized contribution, "Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging" (2020, 90 citations), introduced a groundbreaking approach to HDR imaging by co-designing diffractive optical elements with deep learning, enabling robust single-shot capture in dynamic scenes — a critical advancement for autonomous driving and robotics. His work on "ZeroScatter" tackled the formidable challenge of imaging through fog, rain, and snow using domain transfer techniques, while "Neural Nano-Optics" demonstrated that metasurface-based ultra-thin lenses, guided by neural networks, could rival traditional bulky optics in image quality. More recently, his exploration of acoustic beamforming for multimodal scene understanding reflects an ambitious broadening toward multi-sensor robotic perception. Across his research, Tseng consistently bridges the physical and computational worlds to solve practical, high-stakes imaging problems.
Research Focus
Key Achievements
Top Papers
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- 4Neural nano-optics for high-quality thin lens imaging5 citations · 2021
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