This work addresses 3D human pose reconstruction in single images. We pr...
Hand pose estimation from a single image has many applications. However,...
Graph convolutional networks (GCNs) enable end-to-end learning on graph
...
Motion estimation approaches typically employ sensor fusion techniques, ...
The ability to generalize to previously unseen tasks with little to no
s...
In this work, we introduce a new perspective for learning transferable
c...
Estimating a semantically segmented bird's-eye-view (BEV) map from a sin...
Visual Odometry (VO) estimation is an important source of information fo...
Visual Odometry (VO) is used in many applications including robotics and...
Attention is an important component of modern deep learning. However, le...
Robots need to be able to work in multiple different environments. Even ...
In the context of self-driving vehicles there is strong competition betw...
Accurate extrinsic sensor calibration is essential for both autonomous
v...
How many times does a human have to drive through the same area to becom...
How does a person work out their location using a floorplan? It is proba...