Kiriakos N. Kutulakos
University of Toronto, University of Wisconsin–Madison, University of Rochester
Papers
6
Total Citations
184
H-Index
4
About
Kiriakos N. Kutulakos is a prominent computer vision and computational imaging researcher whose work spans 3D sensing, robotic exploration, and cutting-edge camera systems. His research is distinguished by its breadth — bridging theoretical foundations with practical hardware innovation. Kutulakos made significant early contributions to vision-guided robotic exploration, developing provably correct strategies for mobile robots navigating unknown three-dimensional environments, work that addressed fundamental questions about the sensing capabilities necessary for safe path planning (cited 37 and 35 times respectively). His interest in viewpoint control extended to tangential strategies for exploring curved object surfaces, reflecting a deep engagement with the geometry of visual perception. His most impactful contribution — epipolar time-of-flight imaging (84 citations) — demonstrated how energy-efficient epipolar constraints could dramatically extend the range and versatility of consumer depth cameras like the Kinect, enabling live 3D capture in previously challenging conditions. This work exemplifies his talent for extracting new capability from existing hardware through principled mathematical insight. More recently, Kutulakos has pushed into programmable CMOS image sensors for computational photography and transient neural radiance fields for lidar-based 3D reconstruction, positioning him at the exciting frontier where optics, sensor design, and neural scene representations converge.
Research Focus
Key Achievements
Top Papers
- 1Epipolar time-of-flight imaging84 citations · 2017
- 2Provable strategies for vision-guided exploration in three dimensions37 citations · 2002
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- 5Exploring objects by invariant-based tangential viewpoint control4 citations · 2002
- 6