Yicheng Qiu

Title: Yicheng Qiu: Innovator in Deep Learning for Vehicle Detection

Introduction

Yicheng Qiu is a prominent inventor based in Zhejiang, China. He has made significant contributions to the field of deep learning, particularly in the area of vehicle detection. His innovative work addresses critical challenges in image detection for small-size vehicles.

Latest Patents

Yicheng Qiu holds 1 patent for his invention titled "Small-size vehicle detection deep learning model based on feature fusion of multi-scale modules." This model effectively solves the problem of detecting small-size vehicle images. It incorporates a Backbone network, a Neck layer, and a Head network. The model features a C2f_DCNv3 module that combines deformable convolution v3 (DCNv3) with a cross-stage feature fusion (C2f) module. Additionally, it includes an SPPF_LSKA module that merges a spatial pyramid pooling fast (SPPF) layer with a large separable kernel attention (LSKA) module. The Neck layer introduces a C2f_SCConv module, which combines spatial and channel reconstruction convolution (SCConv) with a C2f module. Finally, the Head network features a multi-scale kernel detection (MSK_Detect) module.

Career Highlights

Yicheng Qiu is currently employed at Nanhu Laboratory, where he continues to advance his research and development in deep learning technologies. His work has garnered attention for its innovative approach to vehicle detection, showcasing his expertise in the field.

Collaborations

Yicheng collaborates with notable colleagues, including Feng Sha and Li Niu, who contribute to his research endeavors and enhance the collaborative environment at Nanhu Laboratory.

Conclusion

Yicheng Qiu's contributions to deep learning and vehicle detection exemplify the impact of innovative thinking in technology. His patent and ongoing work at Nanhu Laboratory highlight his role as a key figure in advancing this important field.