8 citations · 22 across the 21 of their papers we have counts for
7 papers · 1 filter
Real-Time AIoT for AAV Antenna Interference Detection via Edge-Cloud Collaboration
Jun Dong, Jintao Cheng, Jin Wu +3
In the fifth-generation (5G) era, eliminating communication interference sources is crucial for maintaining network performance. Interference often originates from unauthorized or…
CV-MOS: A Cross-View Model for Motion Segmentation
Xiaoyu Tang, Zeyu Chen, Jintao Cheng +3
In autonomous driving, accurately distinguishing between static and moving objects is crucial for the autonomous driving system. When performing the motion object segmentation (MOS…
MV-MOS: Multi-View Feature Fusion for 3D Moving Object Segmentation
Jintao Cheng, Xingming Chen, Jinxin Liang +3
Effectively summarizing dense 3D point cloud data and extracting motion information of moving objects (moving object segmentation, MOS) is crucial to autonomous driving and robotic…
OverlapMamba: Novel Shift State Space Model for LiDAR-based Place Recognition
Qiuchi Xiang, Jintao Cheng, Jiehao Luo +4
Place recognition is the foundation for enabling autonomous systems to achieve independent decision-making and safe operations. It is also crucial in tasks such as loop closure det…
Speech Emotion Recognition Via CNN-Transformer and Multidimensional Attention Mechanism
Xiaoyu Tang, Yixin Lin, Ting Dang +2
Speech Emotion Recognition (SER) is crucial in human-machine interactions. Mainstream approaches utilize Convolutional Neural Networks or Recurrent Neural Networks to learn local e…
YOLO-Ant: A Lightweight Detector via Depthwise Separable Convolutional and Large Kernel Design for Antenna Interference Source Detection
Xiaoyu Tang, Xingming Chen, Jintao Cheng +4
In the era of 5G communication, removing interference sources that affect communication is a resource-intensive task. The rapid development of computer vision has enabled unmanned…
MF-MOS: A Motion-Focused Model for Moving Object Segmentation
Jintao Cheng, Kang Zeng, Zhuoxu Huang +5
Moving object segmentation (MOS) provides a reliable solution for detecting traffic participants and thus is of great interest in the autonomous driving field. Dynamic capture is a…