Search Results for author: Davit Buniatyan

Found 5 papers, 1 papers with code

Deep Lake: a Lakehouse for Deep Learning

2 code implementations22 Sep 2022 Sasun Hambardzumyan, Abhinav Tuli, Levon Ghukasyan, Fariz Rahman, Hrant Topchyan, David Isayan, Mark McQuade, Mikayel Harutyunyan, Tatevik Hakobyan, Ivo Stranic, Davit Buniatyan

Traditional data lakes provide critical data infrastructure for analytical workloads by enabling time travel, running SQL queries, ingesting data with ACID transactions, and visualizing petabyte-scale datasets on cloud storage.

Decision Making

Hyper: Distributed Cloud Processing for Large-Scale Deep Learning Tasks

no code implementations16 Oct 2019 Davit Buniatyan

Training and deploying deep learning models in real-world applications require processing large amounts of data.

Siamese Encoding and Alignment by Multiscale Learning with Self-Supervision

no code implementations4 Apr 2019 Eric Mitchell, Stefan Keselj, Sergiy Popovych, Davit Buniatyan, H. Sebastian Seung

We show that siamese encoding enables more accurate alignment than the image pyramids of SPyNet, a previous deep learning approach to coarse-to-fine alignment.

Self-Supervised Learning

PZnet: Efficient 3D ConvNet Inference on Manycore CPUs

no code implementations18 Mar 2019 Sergiy Popovych, Davit Buniatyan, Aleksandar Zlateski, Kai Li, H. Sebastian Seung

Convolutional nets have been shown to achieve state-of-the-art accuracy in many biomedical image analysis tasks.

Deep Learning Improves Template Matching by Normalized Cross Correlation

no code implementations24 May 2017 Davit Buniatyan, Thomas Macrina, Dodam Ih, Jonathan Zung, H. Sebastian Seung

Template matching by normalized cross correlation (NCC) is widely used for finding image correspondences.

Template Matching

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