7 citations · 9 across the 3 of their papers we have counts for
6 papers
Easy3D: A Simple Yet Effective Method for 3D Interactive Segmentation
Andrea Simonelli, Norman Müller, Peter Kontschieder
The increasing availability of digital 3D environments, whether through image-based 3D reconstruction, generation, or scans obtained by robots, is driving innovation across various…
AutoRF: Learning 3D Object Radiance Fields from Single View Observations
Norman Müller, Andrea Simonelli, Lorenzo Porzi +3
We introduce AutoRF - a new approach for learning neural 3D object representations where each object in the training set is observed by only a single view. This setting is in stark…
3D Object Detection from Images for Autonomous Driving: A Survey
Xinzhu Ma, Wanli Ouyang, Andrea Simonelli +1
3D object detection from images, one of the fundamental and challenging problems in autonomous driving, has received increasing attention from both industry and academia in recent…
Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?
Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi +2
Pseudo-LiDAR-based methods for monocular 3D object detection have received considerable attention in the community due to the performance gains exhibited on the KITTI3D benchmark,…
Towards Generalization Across Depth for Monocular 3D Object Detection
Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi +2
While expensive LiDAR and stereo camera rigs have enabled the development of successful 3D object detection methods, monocular RGB-only approaches lag much behind. This work advanc…
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…