Wanli Ouyang

Title: A Glimpse into the Innovations of Wanli Ouyang

Introduction

Wanli Ouyang, an accomplished inventor based in Beijing, China, has made significant contributions to the field of computer vision and machine learning. With a total of ten patents to his name, Ouyang is recognized for his innovative methods and systems that enhance the performance of convolutional neural networks (CNNs) and improve the accuracy of human body model reconstruction.

Latest Patents

Ouyang’s latest patents include groundbreaking developments such as "Methods and Systems for CNN Network Adaption and Object Online Tracking." This patent discloses methods, apparatuses, and systems that transform a feature map generated by a pre-trained CNN into multiple sub-feature maps. Each sub-feature map is convolved with adaptive convolution kernels to produce second feature maps that exhibit enhanced adaptability. Furthermore, it includes a frame-by-frame training process for these convolution kernels.

Another notable invention is the "Reconstruction Method of Three-Dimensional (3D) Human Body Model, Storage Device and Control Device." This patent outlines a sophisticated method for accurately reconstructing a 3D human body model. The process involves utilizing a fully convolutional network (FCN) module to derive global and local UVI maps from a human body image, estimating camera and shape parameters with neural networks, and refining joint rotation features for effective pose parameter estimation. This method not only achieves accurate reconstruction but also improves the robustness of pose estimation.

Career Highlights

Wanli Ouyang has had a notable career, having worked with reputable companies such as Beijing Sensetime Technology Development Co., Ltd. and Huawei Technologies Co., Limited. His experience in these esteemed organizations has provided him with the opportunity to refine his skills in innovative technologies and contribute significantly to advancements in his field.

Collaborations

Throughout his career, Ouyang has collaborated with other prominent figures in the tech industry, including Xiaogang Wang and Xiao Chu. These collaborations have fostered a creative environment that has led to the development of influential technologies and methodologies.

Conclusion

With his extensive portfolio of patents and collaborative work, Wanli Ouyang continues to be a leading figure in the realm of machine learning and computer vision innovation. His developments in CNN adaptation and 3D human body modeling not only showcase his inventiveness but also pave the way for future advancements in technology.