Gairik Dutta

University of Toronto

Papers

1

Total Citations

20

H-Index

1

About

Gairik Dutta is a leading researcher in computational imaging and CMOS image sensor design, with a focus on pushing the boundaries of single-frame, multi-exposure capture. His most cited work introduces a groundbreaking 5.5 Dual-Tap Pipelined-Code-Memory Coded-Exposure-Pixel CMOS Image Sensor, a key innovation for modern applications like 3D sensing, gesture analysis, and robotic navigation. This design enables programmable, pixel-level exposure coding, overcoming the limitations of conventional cameras that record all incident light indiscriminately. By allowing multiple exposures to be captured in a single frame, Dutta’s sensor facilitates advanced computational photography techniques without sacrificing speed or resolution. With 20 citations on this seminal paper alone, his contributions are already shaping the future of real-time imaging systems. Dutta’s work stands out for its elegant integration of pipelined memory and dual-tap architecture, offering a practical path toward smarter, more responsive cameras. For students and researchers, his research represents a vital bridge between hardware innovation and the computational algorithms that will define next-generation visual intelligence.

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