Decoupled parallel xyz positioning stages with large stroke have been
de...
Indoor scene reconstruction from monocular images has long been sought a...
Haze usually leads to deteriorated images with low contrast, color shift...
As pre-trained models automate many code intelligence tasks, a widely us...
Self-supervised node representation learning aims to learn node
represen...
Quadrotors with the ability to perch on moving inclined surfaces can sav...
Positioning with one inertial measurement unit and one ranging sensor is...
Planning coverage path for multiple robots in a decentralized way enhanc...
In this paper, we present three new error bounds, in terms of the Froben...
The key towards learning informative node representations in graphs lies...
Perching on surfaces of moving objects, like vehicles, could extend the
...
This paper proposes a perception-shared and swarm trajectory global opti...
Dynamic occupancy maps were proposed in recent years to model the obstac...
Obstacle avoidance of quadrotors in dynamic environments is still a very...
Spinning LiDAR data are prevalent for 3D perception tasks, yet its
cylin...
With the great success of pre-trained models, the pretrain-then-finetune...
IoT application development usually involves separate programming at the...
We present universal estimators for the statistical mean,
variance, and ...
We present ASH, a modern and high-performance framework for parallel spa...
Relative localization is a prerequisite for the cooperation of aerial sw...
Flying robots such as the quadrotor could provide an efficient approach ...
Releasing the result size of conjunctive queries and graph pattern queri...
With the rapid increase in the amount of public code repositories, devel...
We present self-supervised geometric perception (SGP), the first general...
Many techniques were proposed for detecting software misconfigurations i...
We present a fast, scalable, and accurate Simultaneous Localization and
...
Objective: To combine medical knowledge and medical data to interpretabl...
This paper presents a novel vision-based obstacle avoidance system for f...
We present Deep Global Registration, a differentiable framework for pair...
While training an end-to-end navigation network in the real world is usu...
While training an end-to-end navigation network in the real world is usu...
Hashing is promising for large-scale information retrieval tasks thanks ...
Lung cancer is the leading cause of cancer deaths. Early detection throu...
We present a novel end-to-end visual odometry architecture with guided
f...
Deep Neural Network (DNN) is a widely used deep learning technique. How ...
We propose a novel 3D spatial representation for data fusion and scene
r...
Message Passing Interface (MPI) is the standard paradigm of programming ...
Mesh plays an indispensable role in dense real-time reconstruction essen...
Bounded model checking is among the most efficient techniques for the
au...