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cs.CV2025
Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks
Siqi Fang, Zachary Schlamowitz, Andrew Bennecke +1
Translation equivariance is a central reason convolutional neural networks have been successful in computer vision. Other symmetries, such as rotations and reflections, are similar…
cs.CV2021
Hidden Markov Modeling for Maximum Likelihood Neuron Reconstruction
Thomas L. Athey, Daniel J. Tward, Ulrich Mueller +2
Recent advances in brain clearing and imaging have made it possible to image entire mammalian brains at sub-micron resolution. These images offer the potential to assemble brain-wi…