Multi-modal unsupervised domain adaptation (MM-UDA) for 3D semantic
segm...
One-shot LiDAR localization refers to the ability to estimate the robot ...
Multivariate Time-Series (MTS) data is crucial in various application fi...
Contrastive learning, as a self-supervised learning paradigm, becomes po...
Autonomous exploration requires the robot to explore an unknown environm...
This paper studies distributed Nash equilibrium (NE) seeking under
Denia...
This letter presents an accurate and robust Lidar Inertial Odometry
fram...
This paper considers distributed online convex optimization with adversa...
Unsupervised domain adaptation (UDA) involves adapting a model trained o...
4D human perception plays an essential role in a myriad of applications,...
Path planning for multiple tethered robots is a challenging problem due ...
In this work, we propose a simultaneous localization and mapping (SLAM)
...
Continual Test-Time Adaptation (CTTA) generalizes conventional Test-Time...
We present the dynamic model and control of DoubleBee, a novel hybrid
ae...
This paper presents Segregator, a global point cloud registration framew...
Despite recent progress on trajectory planning of multiple robots and pa...
Video analysis tasks such as action recognition have received increasing...
While feature association to a global map has significant benefits, to k...
WiFi-based smart human sensing technology enabled by Channel State
Infor...
As an important biomarker for human identification, human gait can be
co...
Avatar refers to a representative of a physical user in the virtual worl...
To enable video models to be applied seamlessly across video tasks in
di...
WiFi sensing has been evolving rapidly in recent years. Empowered by
pro...
Domain Adaptation of Black-box Predictors (DABP) aims to learn a model o...
Simultaneous Localization and Mapping (SLAM) is one of the most essentia...
Decentralized online learning (DOL) has been increasingly researched in ...
Computer vision algorithms have been prevalently utilized for 3-D road
i...
This paper proposes a distributed stochastic projection-free algorithm f...
WiFi sensing technology has shown superiority in smart homes among vario...
WiFi technology has been applied to various places due to the increasing...
Deep neural networks have empowered accurate device-free human activity
...
In recent years, autonomous robots have become ubiquitous in research an...
In this work, the problem of 4 degree-of-freedom (3D position and headin...
The non-smooth finite-sum minimization is a fundamental problem in machi...
This paper introduces a novel self-supervised method that leverages
inco...
This paper introduces a differential dynamic programming (DDP) based
fra...
Autonomous ground vehicles (AGVs) are receiving increasing attention, an...
This paper considers online convex optimization with long term constrain...
Due to the scarcity of annotated scene flow data, self-supervised scene ...
Information compression is essential to reduce communication cost in
dis...
In this paper, we propose a tightly-coupled, multi-modal simultaneous
lo...
This paper considers the distributed online convex optimization problem ...
In this paper we investigate a tightly coupled Lidar-Inertia Odometry an...
Unmanned Aerial Vehicle (UAV) has already demonstrated its potential in ...
Although Simultaneous Localization and Mapping (SLAM) has been an active...
In this paper, we present a novel approach to efficiently generate
colli...
In recent years, thanks to the continuously reduced cost and weight of 3...
In recent years, Onboard Self Localization (OSL) methods based on camera...
Domain adaptation tackles the problem of transferring knowledge from a
l...
Point clouds provide intrinsic geometric information and surface context...