Zhengfan Xia

University of Toronto

Papers

1

Total Citations

20

H-Index

1

About

Zhengfan Xia is a leading researcher in computational imaging and CMOS image sensor design, with a focus on advancing the programmability of pixel-level exposure for next-generation vision systems. His most cited work, the 2019 paper on a 5.5 Dual-Tap Pipelined-Code-Memory Coded-Exposure-Pixel CMOS Image Sensor, introduces a novel architecture that enables multi-exposure single-frame computational imaging. This breakthrough allows individual pixels to be coded in real time, addressing critical needs in modern applications such as 3D sensing, gesture analysis, and robotic navigation—where conventional cameras fall short by recording all incident light indiscriminately. With over 20 citations, this work underscores Xia’s impact in pushing the boundaries of sensor technology for dynamic, high-speed environments. His contributions are pivotal for researchers and engineers developing smarter, more responsive imaging systems, bridging hardware innovation with computational methods to unlock new possibilities in machine vision and autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
20
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
5.5 Dual-Tap Pipelined-Code-Memory Coded-Exposure-Pixel CMOS Image Sensor for Multi-Exposure Single-Frame Computational Imaging
20 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Toronto

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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