Most sign language translation (SLT) methods to date require the use of ...
Multi-modal Contrastive Representation (MCR) learning aims to encode
dif...
LiDAR based place recognition is popular for loop closure detection and
...
Shared-account Cross-domain Sequential Recommendation (SCSR) task aims t...
Shared-account Cross-domain Sequential recommendation (SCSR) is the task...
Visual localization occupies an important position in many areas such as...
Because of the limits input/output systems currently impose on
high-perf...
Radar and lidar, provided by two different range sensors, each has pros ...
The current BigData era routinely requires the processing of large scale...
Despite the limitations of funding acknowledgment (FA) data in Web of Sc...
Recent research on automotive driving developed an efficient end-to-end
...
Several recent works have used coding-theoretic ideas for mitigating the...
Autonomous navigation based on precise localization has been widely deve...
LiDAR-camera calibration is a precondition for many heterogeneous system...
Visual localization is one of the primary capabilities for mobile robots...
Coded computation is an emerging research area that leverages concepts f...
Distributed matrix multiplication is widely used in several scientific
d...
In distributed computing systems, it is well recognized that worker node...
This study utilizes global digitalized books and articles to examine the...
Bibliometric analysis is increasingly used to evaluate and compare resea...
Map construction in large scale outdoor environment is of importance for...
We propose an approach for improved reproducibility that includes captur...
Long-term visual localization in outdoor environment is a challenging
pr...
Global localization in 3D point clouds is a challenging problem of estim...
This paper aims at fast and high-accuracy amodal 3D object detections in...