13 citations · 31 across the 4 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.DC2019
Hyper: Distributed Cloud Processing for Large-Scale Deep Learning Tasks
Davit Buniatyan
Training and deploying deep learning models in real-world applications require processing large amounts of data. This is a challenging task when the amount of data grows to a hundr…
cs.CV2019★ 13 cited
Siamese Encoding and Alignment by Multiscale Learning with Self-Supervision
Eric Mitchell, Stefan Keselj, Sergiy Popovych +2
We propose a method of aligning a source image to a target image, where the transform is specified by a dense vector field. The two images are encoded as feature hierarchies by sia…
cs.CV2019★ 1 cited
PZnet: Efficient 3D ConvNet Inference on Manycore CPUs
Sergiy Popovych, Davit Buniatyan, Aleksandar Zlateski +2
Convolutional nets have been shown to achieve state-of-the-art accuracy in many biomedical image analysis tasks. Many tasks within biomedical analysis domain involve analyzing volu…