Han Zhang

Title: Innovations of Han Zhang in Object Detection

Introduction

Han Zhang is an accomplished inventor based in Pittsburgh, PA, known for his contributions to the field of object detection. With a total of two patents to his name, Zhang has made significant strides in improving the accuracy and efficiency of object detection systems.

Latest Patents

Zhang's latest patents include a "System and method for solving missing annotation object detection." This invention focuses on enhancing the accuracy of object detectors trained with datasets that have numerous missing annotations. The method introduces a novel Background Recalibration Loss (BRL) that adjusts the gradient direction based on its own activation. This adjustment helps to mitigate the adverse effects of error signals by replacing the negative branch of the focal loss with a mirror of the positive branch when the activation falls below a confusion threshold.

Another notable patent is "Feature pyramids for object detection." This improvement addresses prior art feature pyramids by incorporating a simple norm calibration (NC) operation between the feature pyramids and the detection head. This operation alleviates and balances the norm bias caused by feature pyramid networks (FPN). Additionally, it leverages an enhanced multi-feature selective strategy (MS) during training to assign ground-truth to one or more levels of the feature pyramid.

Career Highlights

Zhang is currently affiliated with Carnegie Mellon University, where he continues to push the boundaries of research in object detection technologies. His work has garnered attention for its innovative approaches and practical applications in various fields.

Collaborations

Zhang collaborates with esteemed colleagues such as Marios Savvides and Zhiqiang Shen, contributing to a dynamic research environment that fosters innovation and development in the field of object detection.

Conclusion

Han Zhang's contributions to object detection through his innovative patents demonstrate his commitment to advancing technology in this area. His work not only enhances the accuracy of detection systems but also sets a foundation for future advancements in the field.