Eliot Laidlaw Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

John Brown University

unknown

2 h-index 4 pubs 21 cited

Research Areas

Advanced Vision and Imaging Visual Attention and Saliency Detection Optical measurement and interference techniques Robotics and Sensor-Based Localization Video Surveillance and Tracking Methods

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OverviewAI-generated summary

Eliot Laidlaw's research encompasses advanced vision and imaging techniques, with a focus on visual attention, saliency detection, and optical measurement. He applies these techniques to robotics, sensor-based localization, and video surveillance. Laidlaw's work addresses challenges in dynamic scene understanding, as demonstrated by publications on time-of-flight radiance fields and semantic attention flow fields for monocular dynamic scene decomposition. He also explores multi-sensor fusion to improve remote environment visualization for VR telerobotics.

Laidlaw's primary research interests involve developing and implementing innovative methods for visual data acquisition and analysis, particularly for robotic and virtual reality applications.

Metrics

  • h-index: 2
  • Publications: 4
  • Citations: 21

Selected Publications

  • Semantic Attention Flow Fields for Monocular Dynamic Scene Decomposition (2023) DOI

Collaborators

Researchers in the database who share publications

Alexander Meyerowitz John Brown University 2 shared publications Srinath Sridhar John Brown University 1 shared publication Stefanie Tellex John Brown University 1 shared publication

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