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3D object detection in industrial site point clouds
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Object detection and recognition from 3D point clouds
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Cloud-enabled mobile sensing systems
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Edge-cloud collaboration for enhanced artificial intelligence
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In-situ quality assessment of scan data for as-built models using building-specific geometric features
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Hybrid methods for robust image matching and its application in augmented reality
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Remote analysis of avalanche terrain features: identifying routes, avoiding hazards
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Efficient SLAM for scanning LiDAR sensors using combined plane and point features
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Semantic modeling of outdoor scenes for the creation of virtual environments and simulations
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3D deep learning for perception and modeling
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Crowd-sourced collaborative sensing in highly mobile environments
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Improving efficiency to advance resilient computing
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Point cloud data fusion of RGB and thermal information for advanced building envelope modeling in support of energy audits for large districts
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Learning invariant features in modulatory neural networks through conflict and ambiguity
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Smart buildings: employing modern technology to create an integrated, data-driven, intelligent, self-optimizing, human-centered, building automation system
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Body pose estimation and gesture recognition for human-computer interaction system
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Smart monitoring and autonomous situation classification of humans and machines
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3D urban modeling from city-scale aerial LiDAR data
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Object detection and digitization from aerial imagery using neural networks
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How reading works: intimacy in the author, reader, text relationship
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Machine learning techniques for outdoor and indoor layout estimation
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Creating a water quality geodatabase for the West Hawai‘i Island region
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RGBD camera based wearable indoor navigation system for the visually impaired
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Data-driven image analysis, modeling, synthesis and anomaly localization techniques
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Digitizing human performance with robust range image registration
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