Camera motion introduces spatially varying blur due to the depth changes...
Robot control for tactile feedback-based manipulation can be difficult d...
This work introduces a simulator benchmark for vision-based autonomous
n...
Depth (D) indicates occlusion and is less sensitive to illumination chan...
RGBD (RGB plus depth) object tracking is gaining momentum as RGBD sensor...
Simulation to real (Sim-to-Real) is an attractive approach to construct
...
We have recently proposed two pile loading controllers that learn from h...
Accurate estimation of anthropometric body measurements from RGB images ...
We address the problem of decomposing an image into albedo and shading. ...
Temporal Color Constancy (CC) is a recently proposed approach that chall...
The best RGBD trackers provide high accuracy but are slow to run. On the...
We propose a full processing pipeline to acquire anthropometric measurem...
Industrial standards define safety requirements for Human-Robot Collabor...
A long-term visual object tracking performance evaluation methodology an...
Benchmarking 6D object pose estimation for robotics is not straightforwa...
In the real world, a scene is usually cast by multiple illuminants and h...
We propose a novel grayness index for finding gray pixels and demonstrat...
Standard RGB-D trackers treat the target as an inherently 2D structure, ...
We consider a single-query 6-DoF camera pose estimation with reference i...
We introduced a high-resolution equirectangular panorama (360-degree, vi...
We propose a novel statistical color constancy method, especially suitab...
Depth information provides a strong cue for occlusion detection and hand...
We address the problem of estimating the alignment pose between two mode...
Successful fine-grained image classification methods learn subtle detail...
Computational color constancy that requires esti- mation of illuminant c...