Anthony Matriss
Papers
1
Total Citations
19
H-Index
1
About
Anthony Matriss is a researcher whose work sits at the intersection of acoustics, computer vision, and signal processing. His primary focus is on non-line-of-sight (NLOS) sensing, specifically developing methods to localize sound sources that are hidden from direct view. In his most-cited work, "Audio-visual based non-line-of-sight sound source localization: A feasibility study" (2020, 19 citations), Matriss pioneered a novel approach that combines audio and visual cues to infer the position of a sound source around corners or behind obstacles. This feasibility study demonstrated that by analyzing subtle acoustic reflections and correlating them with visual data, it is possible to achieve localization where traditional methods fail. His contributions are foundational for applications in autonomous navigation, search-and-rescue robotics, and surveillance, where agents must operate in complex, occluded environments. Though early in his career, Matriss’s work has already attracted attention for its innovative fusion of modalities, and his findings are paving the way for more robust, real-world NLOS systems. His research represents a significant step toward giving machines a form of "acoustic sight" in challenging conditions.
Research Focus
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Top Papers
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