While many FSCIL studies have been undertaken, achieving satisfactory
pe...
This paper proposes a system capable of recognizing a speaker's
utteranc...
Sensor fusion approaches for intelligent self-driving agents remain key ...
Phrase break prediction is a crucial task for improving the prosody
natu...
Few-shot class-incremental learning (FSCIL) presents the primary challen...
In this paper, we explore incremental few-shot object detection (iFSD), ...
In the conventional successive cancellation (SC) decoder for polar codes...
Road scene understanding tasks have recently become crucial for self-dri...
Reinforcement learning has shown an outstanding performance in the
appli...
There have been attempts to detect 3D objects by fusion of stereo camera...
Contemporary soft keyboards possess limitations: the lack of physical
fe...
In this paper, we introduce a new benchmark dataset for the challenging
...
Ground segmentation of point clouds remains challenging because of the s...
Self-supervised learning of depth map prediction and motion estimation f...
We present a challenging dataset, ChangeSim, aimed at online scene chang...
It is common that time-series data with missing values are encountered i...
Unsupervised Domain Adaptation (UDA) is essential for autonomous driving...
Minimizing traffic accidents between vehicles and pedestrians is one of ...
Intelligent agents need to understand the surrounding environment to pro...
Surface mount technology (SMT) is a process for producing printed circui...
Intelligent agents gather information and perceive semantics within the
...
Text-entry aims to provide an effective and efficient pathway for humans...
The automated home referred to as Smart Home is expected to offer fully
...