1 citations · 1 across the 3 of their papers we have counts for
6 papers
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…
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…
SteReFo: Efficient Image Refocusing with Stereo Vision
Benjamin Busam, Matthieu Hog, Steven McDonagh +1
Whether to attract viewer attention to a particular object, give the impression of depth or simply reproduce human-like scene perception, shallow depth of field images are used ext…
Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits
Tolga Birdal, Benjamin Busam, Nassir Navab +2
We present a novel and effective method for detecting 3D primitives in cluttered, unorganized point clouds, without axillary segmentation or type specification. We consider the qua…
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data
Fabian Manhardt, Diego Martin Arroyo, Christian Rupprecht +4
3D object detection and pose estimation from a single image are two inherently ambiguous problems. Oftentimes, objects appear similar from different viewpoints due to shape symmetr…