Company Filing History:
Years Active: 2025
Title: Innovations of Jun Wang in Object Tracking Technology
Introduction
Jun Wang is a notable inventor based in Nanchang, China. He has made significant contributions to the field of object tracking technology. His innovative approach combines advanced techniques to enhance the performance of tracking systems.
Latest Patents
Jun Wang holds a patent for a "Method and system for tracking object by aggregation network based on hybrid convolution and self-attention." This patent describes a sophisticated method where corresponding template features and search features are obtained through convolution operations. These features are utilized as input in aggregation modules, which share the same convolution operation. The hybrid convolution in the aggregation module employs both depthwise and pointwise convolutions to effectively separate the mixture between spatial and channel features. This process reduces redundancy while increasing the receptive field. The self-attention module learns intermediate features and adaptively focuses on different regions to capture global correlations. The output features from the hybrid convolution are combined with those from the self-attention module, passing through a drop-out layer to yield final output features that aggregate local and global context information. This innovative approach alleviates overfitting during training, thereby improving the generalization ability of the tracker.
Career Highlights
Jun Wang is affiliated with the Nanchang Institute of Technology, where he continues to advance his research and development in object tracking technologies. His work has garnered attention for its practical applications and innovative methodologies.
Collaborations
Jun Wang collaborates with Peng Yin, contributing to the advancement of their shared research interests in technology and innovation.
Conclusion
Jun Wang's contributions to object tracking technology through his innovative patent demonstrate his expertise and commitment to advancing the field. His work continues to influence the development of more efficient tracking systems.