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20112022
most citedHigh-Performance Neural Networks for Visual Object Classification

223 citations · 324 across the 12 of their papers we have counts for

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11 papers · 1 filter

cs.CV2022

Supervised Tractogram Filtering using Geometric Deep Learning

Pietro Astolfi, Ruben Verhagen, Laurent Petit +5

A tractogram is a virtual representation of the brain white matter. It is composed of millions of virtual fibers, encoded as 3D polylines, which approximate the white matter axonal…

cs.CV2020

Learning to Detect Objects with a 1 Megapixel Event Camera

Etienne Perot, Pierre de Tournemire, Davide Nitti +2

Event cameras encode visual information with high temporal precision, low data-rate, and high-dynamic range. Thanks to these characteristics, event cameras are particularly suited…

cs.CV20208 cited

Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs

Giorgio Giannone, Asha Anoosheh, Alessio Quaglino +3

Event-based cameras are novel, efficient sensors inspired by the human vision system, generating an asynchronous, pixel-wise stream of data. Learning from such data is generally pe…

cs.CV2019

Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer

Jan Svoboda, Asha Anoosheh, Christian Osendorfer +1

This paper introduces a neural style transfer model to generate a stylized image conditioning on a set of examples describing the desired style. The proposed solution produces high…

cs.CV2019

Deep Iterative Surface Normal Estimation

Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci

This paper presents an end-to-end differentiable algorithm for robust and detail-preserving surface normal estimation on unstructured point-clouds. We utilize graph neural networks…

cs.CV2018

ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation

Francesco Lattari, Marco Ciccone, Matteo Matteucci +2

We introduce ReConvNet, a recurrent convolutional architecture for semi-supervised video object segmentation that is able to fast adapt its features to focus on any specific object…