Congratulations to Xu Tianyang on his successful graduation!

Xu Tianyang graduated from Changzhou University and began his academic master’s degree in the School of Computer Engineering and Science at Shanghai University in 2023. After joining the research group, he studied small object detection under the guidance of Professor Han Yuexing, Professor Chen Qiaochuan, and Professor Sun Yan. With their careful guidance, he completed the following research:

  1. A high-precision object detection method based on implicit feature fusion and hybrid adaptive label assignment is proposed. To address the problem of detail loss in feature fusion, implicit feature fusion uses implicit neural representations to map multi-scale features to a unified resolution for fusion, effectively preserving the fine-grained features of small objects. To address the difficulty of balancing the quality and quantity of positive samples for small objects, the hybrid adaptive label assignment strategy combines IoU and receptive field distance to construct a hybrid metric score, and uses an adaptive mechanism to accurately mine high-quality positive samples.

  2. A real-time object detection method based on a selective sparse encoder and scale-aware Query selection is proposed. To address the excessive computational cost of processing high-resolution feature maps in Transformer-based detection architectures, the selective sparse encoder uses a feature selection mechanism and linear self-attention to greatly reduce memory usage and computational complexity. To resolve the confidence disadvantage of small object features during the Query filtering stage, the scale-aware Query selection mechanism introduces a decay coefficient based on the feature downsampling stride, dynamically improving the model’s attention to small objects.

During his postgraduate studies at Shanghai University, Xu Tianyang studied diligently, kept improving, and continuously enhanced his professional and research capabilities. He was fortunate to work alongside many excellent mentors and friends and gained a great deal along the way. We hope that in his future journey he will always keep his ideals in mind, stay grounded, fear no hardship, and move forward bravely.

Essay: Research on Real-Time Object Detection Methods for Small Objects

Code: https://github.com/han-yuexing/2026-thesis-xty-code

Last updated: 2026-07-05
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