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Explore my academic publications, technical articles, and written content.
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High-performance image generation using Stable Diffusion in KerasCV
2022-09-01
Generate new images using KerasCV's StableDiffusion model.
machine-learning
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Teach StableDiffusion new concepts via Textual Inversion
2022-11-15
Learning new visual concepts with KerasCV's StableDiffusion implementation.
machine-learninggenerative-ai
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Marine Animal Object Detection with KerasCV
2022-12-10
Use deep learning to detect marine animals including sharks,
turtles, penguins, puffins, jellyfish and more!
machine-learningobject-detection
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Efficient Graph-Friendly COCO Metric Computation for Train-Time Model Evaluation
2022-07-25
Pre-print written alongside Francois Chollet on
a novel algorithm to closely approximate Mean Average Precision within the
constraints of the TensorFlow graph.
The algorithm used in the publication is used in the KerasCV COCO metric
implementation, and can be used to perform train time evaluation with any
KerasCV object detection model.
machine-learningopen-source
D
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Deep Learning Object Detection Approaches to Signal Identification
2022-10-16
Pre-print written for ICASSP 2022. We decided not to continue
this line of work, but our results and our spectrogram object detection
dataset are open source and available on GitHub.
If you'd like to finish this work and attempt to get it published, feel free
to reach out.
machine-learningobject-detection
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Parametric Spectral Filters for Fast Converging, Scalable Convolutional Neural Networks
2021-06-01
Primary author of 2021 ICASSP Publication: Parametric Spectral
Filters for Fast Converging, Scalable Convolutional Neural Networks.
Please see GitHub repo for full information.
machine-learning