Mr. Diego Marez Profile

Diego Marez

at Naval Information Warfare Ctr Pacific

SPIE Involvement:

Author

Publications (10)

Proceedings Article | 13 June 2023 Poster + Paper

Leveraging motion saliency via frame differencing for enhanced object detection in videos

Lena Nans, Chelsea Mediavilla, Diego Marez, Shibin Parameswaran

Proceedings Volume 12527, 125270V (2023) https://doi.org/10.1117/12.2678373

KEYWORDS: Video, Cameras, Object detection, RGB color model, Education and training, Detection and tracking algorithms, Video surveillance, Image processing, Signal processing, Feature extraction

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Proceedings Article | 12 June 2023 Paper

Evaluating the efficacy of different adversarial training strategies

Roger Sengphanith, Diego Marez, Jane Berk, Shibin Parameswaran

Proceedings Volume 12538, 125381W (2023) https://doi.org/10.1117/12.2678377

KEYWORDS: Adversarial training, Data modeling, Statistical modeling, Defense and security, Neural networks, Machine learning

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Proceedings Article | 28 October 2022 Presentation + Paper

Bandwidth constrained cooperative object detection in images

Diego Marez, Lena Nans, Samuel Borden

Proceedings Volume 12276, 122760J (2022) https://doi.org/10.1117/12.2636279

KEYWORDS: Sensors, Data modeling, Performance modeling, Cameras, Machine vision, Computer vision technology, Image compression, Network architectures, Distortion, Unmanned aerial vehicles

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Proceedings Article | 12 September 2021 Presentation + Paper

Detecting aerial objects: drones, birds, and helicopters

Chelsea Mediavilla, Lena Nans, Diego Marez, Shibin Parameswaran

Proceedings Volume 11870, 118700J (2021) https://doi.org/10.1117/12.2600068

KEYWORDS: Sensors, Video, Transformers, Data modeling, Video surveillance, Detection and tracking algorithms, Machine vision, Computer vision technology

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Proceedings Article | 12 April 2021 Presentation + Paper

Multi-modal dataset generation using domain randomization for object detection

Diego Marez, Lena Nans, Samuel Borden

Proceedings Volume 11733, 117330D (2021) https://doi.org/10.1117/12.2585733

KEYWORDS: Sensors, RGB color model, Video, Visualization, Unmanned vehicles, Machine vision, LIDAR, Image segmentation, Environmental sensing, Computer vision technology

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