17 citations · 48 across the 21 of their papers we have counts for
5 papers · 1 filter
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks
Drew Linsley, Junkyung Kim, David Berson +1
Recent successes in deep learning have started to impact neuroscience. Of particular significance are claims that current segmentation algorithms achieve "super-human" accuracy in…
Robust pose tracking with a joint model of appearance and shape
Yuliang Guo, Lakshmi Narasimhan Govindarajan, Benjamin Kimia +1
We present a novel approach for estimating the 2D pose of an articulated object with an application to automated video analysis of small laboratory animals. We have found that defo…
Learning what and where to attend
Drew Linsley, Dan Shiebler, Sven Eberhardt +1
Most recent gains in visual recognition have originated from the inclusion of attention mechanisms in deep convolutional networks (DCNs). Because these networks are optimized for o…
Learning long-range spatial dependencies with horizontal gated-recurrent units
Drew Linsley, Junkyung Kim, Vijay Veerabadran +1
Progress in deep learning has spawned great successes in many engineering applications. As a prime example, convolutional neural networks, a type of feedforward neural networks, ar…
Same-different problems strain convolutional neural networks
Matthew Ricci, Junkyung Kim, Thomas Serre
The robust and efficient recognition of visual relations in images is a hallmark of biological vision. We argue that, despite recent progress in visual recognition, modern machine…