Search Results for author: Greg J. Stephens

Found 7 papers, 4 papers with code

WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans

1 code implementation Plos Computational Biology 2021 Laetitia Hebert, Tosif Ahamed, Antonio C Costa, Liam O'Shaughnessy, Greg J. Stephens

An important model system for understanding genes, neurons and behavior, the nematode worm C. elegans naturally moves through a variety of complex postures, for which estimation from video data is challenging.

2D Pose Estimation Animal Pose Estimation +1

Functional modules from variable genes: Leveraging percolation to analyze noisy, high-dimensional data

no code implementations11 Jun 2020 Steffen Werner, W Mathijs Rozemuller, Annabel Ebbing, Anna Alemany, Joleen Traets, Jeroen S. van Zon, Alexander van Oudenaarden, Hendrik C. Korswagen, Greg J. Stephens, Thomas S. Shimizu

While measurement advances now allow extensive surveys of gene activity (large numbers of genes across many samples), interpretation of these data is often confounded by noise -- expression counts can differ strongly across samples due to variation of both biological and experimental origin.

Clustering

Markerless tracking of an entire insect colony

1 code implementation bioRxiv 2020 Katarzyna Bozek, Laetitia Hebert, Yoann Portugal, Greg J. Stephens

We present a comprehensive, computational method for tracking an entire colony of the honey bee Apis mellifera using high-resolution video on a natural honeycomb background.

Position

Pixel personality for dense object tracking in a 2D honeybee hive

no code implementations31 Dec 2018 Katarzyna Bozek, Laetitia Hebert, Alexander S Mikheyev, Greg J. Stephens

We provide validated trajectories spanning 3000 video frames of 876 unmarked moving bees in two distinct colonies in different locations and filmed with different pixel resolutions, which we expect to be useful in the further development of general-purpose tracking solutions.

Attribute Multi-Object Tracking +4

Energy consumption and cooperation for optimal sensing

1 code implementation11 Sep 2018 Vudtiwat Ngampruetikorn, David J. Schwab, Greg J. Stephens

The reliable detection of environmental molecules in the presence of noise is an important cellular function, yet the underlying computational mechanisms are not well understood.

Biological Physics

Towards dense object tracking in a 2D honeybee hive

2 code implementations CVPR 2018 Katarzyna Bozek, Laetitia Hebert, Alexander S Mikheyev, Greg J. Stephens

Our results provide an important step towards efficient image-based dense object tracking by allowing for the accurate determination of object location and orientation across time-series image data efficiently within one network architecture.

Object Object Detection +3

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