Soheil Kolouri

HRL Laboratories (United States), Vanderbilt University

Papers

Total Citations

H-Index

About

Soheil Kolouri is a researcher advancing the frontiers of machine learning and computer vision, with a focus on surgical AI and geometric data analysis. His work bridges perception, attention mechanisms, and robust 3D registration. A key contribution is his 2020 paper on "Neuromodulated attention and goal-driven perception in uncertain domains" (13 citations), which explores how attention models can be guided by neuromodulatory signals to improve perception under uncertainty. More recently, Kolouri has tackled the challenge of surgical gesture recognition with his 2024 work on "Zero-shot prompt-based video encoder for surgical gesture recognition" (5 citations), demonstrating how zero-shot learning can enable AI systems to recognize novel surgical gestures without extensive annotated datasets—a critical step toward scalable, generalizable surgical assistance. In 2025, he further contributed to 3D vision with "Partial transport for point-cloud registration" (3 citations), addressing real-world issues like occlusions and non-rigid deformations in point cloud alignment, with applications in robotics and medical imaging. Kolouri’s work is notable for its practical impact, pushing the boundaries of how machines perceive, learn, and adapt in complex, uncertain environments.