Nikita Gusev

University of Toronto

Papers

1

Total Citations

20

H-Index

1

About

Nikita Gusev is a leading innovator in computational imaging, with a primary focus on advancing CMOS image sensor technology for next-generation vision systems. His most cited work introduces a groundbreaking 5.5 Dual-Tap Pipelined-Code-Memory Coded-Exposure-Pixel CMOS Image Sensor, a pivotal contribution to the field of multi-exposure single-frame computational imaging. This sensor enables pixel-level programmability of exposure, a critical capability for modern applications such as 3D sensing, gesture analysis, and robotic navigation. By moving beyond conventional cameras that simply record all incident light, Gusev’s design allows for sophisticated coding of exposure patterns directly on the sensor, dramatically enhancing the capture of temporal information in a single frame. With over 20 citations, this work demonstrates significant impact, laying the foundation for more intelligent and responsive imaging systems. His achievements represent a vital step toward cameras that can see and interpret dynamic scenes with unprecedented efficiency, making him a key figure in the evolution of computational photography and machine vision.

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
Content generated · 12 days ago