71 citations · 228 across the 26 of their papers we have counts for
5 papers · 1 filter
RECALL: Rehearsal-free Continual Learning for Object Classification
Markus Knauer, Maximilian Denninger, Rudolph Triebel
Convolutional neural networks show remarkable results in classification but struggle with learning new things on the fly. We present a novel rehearsal-free approach, where a deep n…
A Multi-body Tracking Framework - From Rigid Objects to Kinematic Structures
Manuel Stoiber, Martin Sundermeyer, Wout Boerdijk +1
Kinematic structures are very common in the real world. They range from simple articulated objects to complex mechanical systems. However, despite their relevance, most model-based…
Challenges of SLAM in extremely unstructured environments: the DLR Planetary Stereo, Solid-State LiDAR, Inertial Dataset
Riccardo Giubilato, Wolfgang Stürzl, Armin Wedler +1
We present the DLR Planetary Stereo, Solid-State LiDAR, Inertial (S3LI) dataset, recorded on Mt. Etna, Sicily, an environment analogous to the Moon and Mars, using a hand-held sens…
Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects
Manuel Stoiber, Martin Sundermeyer, Rudolph Triebel
Tracking objects in 3D space and predicting their 6DoF pose is an essential task in computer vision. State-of-the-art approaches often rely on object texture to tackle this problem…
A Model for Multi-View Residual Covariances based on Perspective Deformation
Alejandro Fontan, Laura Oliva, Javier Civera +1
In this work, we derive a model for the covariance of the visual residuals in multi-view SfM, odometry and SLAM setups. The core of our approach is the formulation of the residual…