Search Results for author: Jeremy Maitin-Shepard

Found 6 papers, 3 papers with code

Flood-Filling Networks

3 code implementations1 Nov 2016 Michał Januszewski, Jeremy Maitin-Shepard, Peter Li, Jörgen Kornfeld, Winfried Denk, Viren Jain

State-of-the-art image segmentation algorithms generally consist of at least two successive and distinct computations: a boundary detection process that uses local image information to classify image locations as boundaries between objects, followed by a pixel grouping step such as watershed or connected components that clusters pixels into segments.

Boundary Detection Clustering +3

Elliptic Curve Multiset Hash

1 code implementation25 Jan 2016 Jeremy Maitin-Shepard, Mehdi Tibouchi, Diego Aranha

A homomorphic, or incremental, multiset hash function, associates a hash value to arbitrary collections of objects (with possible repetitions) in such a way that the hash of the union of two collections is easy to compute from the hashes of the two collections themselves: it is simply their sum under a suitable group operation.

Cryptography and Security

Combinatorial Energy Learning for Image Segmentation

no code implementations NeurIPS 2016 Jeremy Maitin-Shepard, Viren Jain, Michal Januszewski, Peter Li, Pieter Abbeel

We introduce a new machine learning approach for image segmentation that uses a neural network to model the conditional energy of a segmentation given an image.

Image Segmentation Segmentation +1

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