Dr. Ruixu Liu Profile

Dr. Ruixu Liu

at Univ of Dayton

SPIE Involvement:

Author

Publications (13)

Proceedings Article | 7 June 2024 Presentation + Paper

YOLO-based GNN for multi-person pose estimation

Ming Gong, Ruixu Liu, Vijayan Asari

Proceedings Volume 13040, 130400F (2024) https://doi.org/10.1117/12.3016568

KEYWORDS: Pose estimation, Object detection, Education and training, Matrices, Spatial resolution, Data modeling, Image processing, Visual process modeling, Semantics, Human computer interaction

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Proceedings Article | 7 June 2024 Presentation + Paper

NABLA-N for meltpond detection

Aqsa Sultana, Vijayan Asari, Theus Aspiras, Ruixu Liu, Ivan Sudakow, Lee Cooper

Proceedings Volume 13040, 1304006 (2024) https://doi.org/10.1117/12.3016570

KEYWORDS: Ice, Image segmentation, Education and training, Databases, Convolution, Performance modeling, Data modeling, Tunable filters, Solar radiation models, Solar radiation

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Proceedings Article | 7 June 2024 Presentation + Paper

Diffusion model-based generation of sea ice data

Aqsa Sultana, Shaik Nordin Abouzahra, Vijayan Asari, Theus Aspiras, Ruixu Liu, Ivan Sudakow, Lee Cooper

Proceedings Volume 13033, 130330B (2024) https://doi.org/10.1117/12.3016574

KEYWORDS: Data modeling, Diffusion, Image processing, Ice, Education and training, Colorimetry, RGB color model, Model based design, Statistical modeling, Image segmentation

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Proceedings Article | 13 June 2023 Presentation + Paper

R2UNet for melt pond detection

Aqsa Sultana, Vijayan Asari, Ivan Sudakow, Theus Aspiras, Ruixu Liu, Denis Demchev

Proceedings Volume 12527, 125270R (2023) https://doi.org/10.1117/12.2663982

KEYWORDS: Ice, Image segmentation, Machine learning, Semantics, Deep learning, Image processing, Image analysis

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Proceedings Article | 13 June 2023 Presentation

Scale and rotational invariant deep neural machine for ship detections in infrared images

Wen Zhu, Ruixu Liu, Theus Aspiras, Vijayan Asari

Proceedings Volume 12527, 125270N (2023) https://doi.org/10.1117/12.2664879

KEYWORDS: Infrared radiation, Infrared imaging, Thermography, Infrared detectors, Neural networks, Neck, Head, Visible radiation, Sensors, Thermal modeling

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Proceedings Article | 13 June 2022 Presentation

Learning classical image registration features using a deep learning architecture

Theus Aspiras, Ruixu Liu, Jonathan Schierl, Vijayan Asari

Proceedings Volume PC12101, PC121010B (2022) https://doi.org/10.1117/12.2622314

KEYWORDS: Image registration, Detection and tracking algorithms, Computer architecture, Neural networks, Image processing, Evolutionary algorithms, Convolution, Computer simulations

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Proceedings Article | 13 June 2022 Presentation

Deep neural machine for multimodal information fusion

Ruixu Liu, Theus Aspiras, Vijayan Asari

Proceedings Volume PC12101, PC121010C (2022) https://doi.org/10.1117/12.2622315

KEYWORDS: RGB color model, Information fusion, Thermography, Data fusion, Image fusion, Thermal modeling, Sensors, Neural networks, Machine vision, Light sources and illumination

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Proceedings Article | 13 June 2022 Presentation

Learning spatio-temporal attention for multi-object tracking and re-identification in wide area motion imagery

Ruixu Liu, Theus Aspiras, Vijiyan Asari

Proceedings Volume PC12101, PC1210101 (2022) https://doi.org/10.1117/12.2618503

KEYWORDS: Optical tracking, Visualization, Unmanned aerial vehicles, Image processing, Vegetation, System integration, Head, Filtering (signal processing), Feature extraction, Convolutional neural networks

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Proceedings Article | 27 May 2022 Presentation + Paper

Geosynchronous satellite detection and tracking with WFOV camera arrays using spatiotemporal neural networks (GEO-SPANN)

Garrett Fitzgerald, Ruixu Liu, Vijayan Asari

Proceedings Volume 12101, 1210104 (2022) https://doi.org/10.1117/12.2618047

KEYWORDS: Sensors, Satellites, Cameras, Image processing, Neural networks, Detection and tracking algorithms, Sensor performance, Imaging systems, Surveillance

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Proceedings Article | 12 April 2021 Presentation + Paper

Deep neural network based approach for robust aerial surveillance

Ruixu Liu, Theus Aspiras, Vijayan Asari

Proceedings Volume 11735, 117350B (2021) https://doi.org/10.1117/12.2591194

KEYWORDS: Surveillance, Neural networks, Sensors, Parallel computing, Network architectures, Machine vision, Image classification, Image analysis, Environmental sensing, Computer vision technology

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Proceedings Article | 13 May 2019 Presentation

Convolutional auto-encoder for vehicle detection in aerial imagery (Conference Presentation)

Theus Aspiras, Ruixu Liu, Vijayan Asari

Proceedings Volume 10995, 109950D (2019) https://doi.org/10.1117/12.2520253

KEYWORDS: Airborne remote sensing, Convolutional neural networks, Network architectures, Neural networks

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Proceedings Article | 10 May 2017 Paper

3D indoor scene reconstruction and change detection for robotic sensing and navigation

Ruixu Liu, Vijayan Asari

Proceedings Volume 10221, 102210D (2017) https://doi.org/10.1117/12.2262831

KEYWORDS: 3D modeling, Cameras, RGB color model, 3D surface sensing, Robotics, Environmental sensing, Motion models, 3D visualizations, Reconstruction algorithms, Sensors, 3D metrology

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Proceedings Article | 19 May 2016 Paper

3D change detection in staggered voxels model for robotic sensing and navigation

Ruixu Liu, Brandon Hampshire, Vijayan Asari

Proceedings Volume 9869, 98690J (2016) https://doi.org/10.1117/12.2227215

KEYWORDS: RGB color model, 3D modeling, Robotics, 3D surface sensing, Detection and tracking algorithms, Environmental sensing, Clouds, Video, Free space, Image processing, 3D modeling, Clouds, Sensors, 3D image processing, Robot vision, Data modeling

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Showing 5 of 13 publications

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