Mark Sheinin

Technion – Israel Institute of Technology, Carnegie Mellon University

Papers

Total Citations

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About

Mark Sheinin is a leading researcher in computational imaging and computer vision, with a focus on challenging environments involving participating media such as water and fog. His work addresses fundamental problems in capturing high-resolution images of large, occlusion-prone scenes, where traditional methods fail due to geometric occlusions and scattering. In his highly cited paper, "The Next Best Underwater View" (2016, 51 citations), Sheinin introduced a novel approach to active imaging that optimizes camera movement to overcome visibility degradation in underwater settings, a significant contribution to marine robotics and environmental monitoring. More recently, Sheinin has pioneered dynamic projection techniques for computer vision. In "Projecting Trackable Thermal Patterns for Dynamic Computer Vision" (2024), he demonstrates how to project invisible thermal patterns onto objects for robust tracking and navigation without altering the object's appearance—a breakthrough for non-invasive sensing. This work opens new possibilities for robotics, augmented reality, and industrial automation. Sheinin’s research consistently bridges the gap between physics-based modeling and practical vision systems, earning him recognition for advancing imaging in extreme conditions.