We present a visual-inertial depth estimation pipeline that integrates
m...
Semantic segmentation models struggle to generalize in the presence of d...
We present LSeg, a novel model for language-driven semantic image
segmen...
We study the problem of estimating room layouts from a single panorama i...
Quadrotors are agile. Unlike most other machines, they can traverse extr...
Weight sharing promises to make neural architecture search (NAS) tractab...
Weight sharing has become a de facto standard in neural architecture sea...
We introduce dense vision transformers, an architecture that leverages v...
Performing acrobatic maneuvers with quadrotors is extremely challenging....
Many problems in science and engineering can be formulated in terms of
g...
Weight sharing promises to make neural architecture search (NAS) tractab...
Navigation in natural outdoor environments requires a robust and reliabl...
The success of monocular depth estimation relies on large and diverse
tr...
Event cameras are novel sensors that report brightness changes in the fo...
Dynamically changing environments, unreliable state estimation, and oper...
The computational power of mobile robots is currently insufficient to ac...
Convolutional networks for single-view object reconstruction have shown
...
Event cameras are novel sensors that report brightness changes in the fo...
Autonomous micro aerial vehicles still struggle with fast and agile
mane...
Transferring solutions found by trajectory optimization to robotic hardw...
Autonomous agile flight brings up fundamental challenges in robotics, su...
The Fields of Experts (FoE) image prior model, a filter-based higher-ord...
Inpainting based image compression approaches, especially linear and
non...
It is now well known that Markov random fields (MRFs) are particularly
e...
This paper addresses a new learning algorithm for the recently introduce...