52 citations · 53 across the 2 of their papers we have counts for
3 papers
Disentangling Monocular 3D Object Detection
Andrea Simonelli, Samuel Rota Rota Bulò, Lorenzo Porzi +2
In this paper we propose an approach for monocular 3D object detection from a single RGB image, which leverages a novel disentangling transformation for 2D and 3D detection losses…
A Push-Pull Layer Improves Robustness of Convolutional Neural Networks
Nicola Strisciuglio, Manuel Lopez-Antequera, Nicolai Petkov
We propose a new layer in Convolutional Neural Networks (CNNs) to increase their robustness to several types of noise perturbations of the input images. We call this a push-pull la…
Training a Convolutional Neural Network for Appearance-Invariant Place Recognition
Ruben Gomez-Ojeda, Manuel Lopez-Antequera, Nicolai Petkov +1
Place recognition is one of the most challenging problems in computer vision, and has become a key part in mobile robotics and autonomous driving applications for performing loop c…