99 citations · 194 across the 36 of their papers we have counts for
6 papers · 1 filter
Graphite: GRAPH-Induced feaTure Extraction for Point Cloud Registration
Mahdi Saleh, Shervin Dehghani, Benjamin Busam +2
3D Point clouds are a rich source of information that enjoy growing popularity in the vision community. However, due to the sparsity of their representation, learning models based…
I Like to Move It: 6D Pose Estimation as an Action Decision Process
Benjamin Busam, Hyun Jun Jung, Nassir Navab
Object pose estimation is an integral part of robot vision and AR. Previous 6D pose retrieval pipelines treat the problem either as a regression task or discretize the pose space t…
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data
Adrian Lopez-Rodriguez, Benjamin Busam, Krystian Mikolajczyk
Depth completion aims to predict a dense depth map from a sparse depth input. The acquisition of dense ground truth annotations for depth completion settings can be difficult and,…
DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching
Patrick Ruhkamp, Ruiqi Gong, Nassir Navab +1
Feature based visual odometry and SLAM methods require accurate and fast correspondence matching between consecutive image frames for precise camera pose estimation in real-time. C…
HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning
Axel Barroso-Laguna, Yannick Verdie, Benjamin Busam +1
Local feature extraction remains an active research area due to the advances in fields such as SLAM, 3D reconstructions, or AR applications. The success in these applications relie…
A Multi-Hypothesis Approach to Color Constancy
Daniel Hernandez-Juarez, Sarah Parisot, Benjamin Busam +3
Contemporary approaches frame the color constancy problem as learning camera specific illuminant mappings. While high accuracy can be achieved on camera specific data, these models…