Brendan Chwyl
According to our database1,
Brendan Chwyl
authored at least 17 papers
between 2015 and 2020.
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Bibliography
2020
Biomed. Signal Process. Control., 2020
2019
StressedNets: Efficient feature representations via stress-induced evolutionary synthesis of deep neural networks.
Neurocomputing, 2019
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis.
CoRR, 2018
Tiny SSD: A Tiny Single-Shot Detection Deep Convolutional Neural Network for Real-Time Embedded Object Detection.
Proceedings of the 15th Conference on Computer and Robot Vision, 2018
2017
SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis.
CoRR, 2017
Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
SAPPHIRE: Stochastically acquired photoplethysmogram for heart rate inference in realistic environments.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
TIGGER: A Texture-Illumination Guided Global Energy Response Model for Illumination Robust Object Saliency.
Proceedings of the 13th Conference on Computer and Robot Vision, 2016
Time-Frequency Domain Analysis via Pulselets for Non-contact Heart Rate Estimation from Remotely Acquired Photoplethysmograms.
Proceedings of the 13th Conference on Computer and Robot Vision, 2016
2015
High dynamic range map estimation via fully connected random fields with stochastic cliques.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Tiger: A texture-illumination guided energy response model for illumination robust local saliency.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Illumination Robust Facial Feature Detection via Decoupled Illumination and Texture Features.
Proceedings of the Image Analysis and Recognition - 12th International Conference, 2015
Specular Reflectance Suppression in Endoscopic Imagery via Stochastic Bayesian Estimation.
Proceedings of the Image Analysis and Recognition - 12th International Conference, 2015