87 citations · 122 across the 16 of their papers we have counts for
5 papers · 1 filter
Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings
Daniele De Gregorio, Riccardo Zanella, Gianluca Palli +1
In this paper we investigate how to effectively deploy deep learning in practical industrial settings, such as robotic grasping applications. When a deep-learning based solution is…
Learning to Orient Surfaces by Self-supervised Spherical CNNs
Riccardo Spezialetti, Federico Stella, Marlon Marcon +3
Defining and reliably finding a canonical orientation for 3D surfaces is key to many Computer Vision and Robotics applications. This task is commonly addressed by handcrafted algor…
Continual Adaptation for Deep Stereo
Matteo Poggi, Alessio Tonioni, Fabio Tosi +2
Depth estimation from stereo images is carried out with unmatched results by convolutional neural networks trained end-to-end to regress dense disparities. Like for most tasks, thi…
Distilled Semantics for Comprehensive Scene Understanding from Videos
Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez +4
Whole understanding of the surroundings is paramount to autonomous systems. Recent works have shown that deep neural networks can learn geometry (depth) and motion (optical flow) f…
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models
Alessandro Berlati, Oliver Scheel, Luigi Di Stefano +1
Ambiguity is inherently present in many machine learning tasks, but especially for sequential models seldom accounted for, as most only output a single prediction. In this work we…