1.2k citations · 1.9k across the 14 of their papers we have counts for
4 papers · 1 filter
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…
Multi-View Stereo with Single-View Semantic Mesh Refinement
Andrea Romanoni, Marco Ciccone, Francesco Visin +1
While 3D reconstruction is a well-established and widely explored research topic, semantic 3D reconstruction has only recently witnessed an increasing share of attention from the C…
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
Francesco Visin, Marco Ciccone, Adriana Romero +5
We propose a structured prediction architecture, which exploits the local generic features extracted by Convolutional Neural Networks and the capacity of Recurrent Neural Networks…
ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks
Francesco Visin, Kyle Kastner, Kyunghyun Cho +3
In this paper, we propose a deep neural network architecture for object recognition based on recurrent neural networks. The proposed network, called ReNet, replaces the ubiquitous…