1k citations · 2.2k across the 74 of their papers we have counts for
7 papers · 1 filter
Fast Mitochondria Detection for Connectomics
Vincent Casser, Kai Kang, Hanspeter Pfister +1
High-resolution connectomics data allows for the identification of dysfunctional mitochondria which are linked to a variety of diseases such as autism or bipolar. However, manual a…
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding
Felix Gonda, Donglai Wei, Toufiq Parag +1
For video and volumetric data understanding, 3D convolution layers are widely used in deep learning, however, at the cost of increasing computation and training time. Recent works…
Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics
Spandan Madan, Zoya Bylinskii, Matthew Tancik +6
Widely used in news, business, and educational media, infographics are handcrafted to effectively communicate messages about complex and often abstract topics including `ways to co…
Visual Pattern-Driven Exploration of Big Data
Michael Behrisch, Robert Krueger, Fritz Lekschas +3
Pattern extraction algorithms are enabling insights into the ever-growing amount of today's datasets by translating reoccurring data properties into compact representations. Yet, a…
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets
Toufiq Parag, Daniel Berger, Lee Kamentsky +5
Synaptic connectivity detection is a critical task for neural reconstruction from Electron Microscopy (EM) data. Most of the existing algorithms for synapse detection do not identi…
Metamorphs: Bistable Planar Structures
Gaurav Bharaj, Danny Kaufman, Etienne Vouga +1
Extreme deformation can drastically morph a structure from one structural form into another. Programming such deformation properties into the structure is often challenging and in…