Lijun Wang

Title: Innovations of Lijun Wang in Computer Vision

Introduction

Lijun Wang is a prominent inventor based in Dalian, China. He has made significant contributions to the field of computer vision, particularly in the areas of convolutional neural networks (CNN) and depth map generation. With a total of 4 patents, his work has advanced the capabilities of machine learning and image processing technologies.

Latest Patents

Lijun Wang's latest patents include innovative methods and systems for CNN network adaptation and object online tracking. These patents disclose techniques for transforming a first feature map into multiple sub-feature maps, which enhances the adaptability of CNNs. The method involves convolving each sub-feature map with adaptive convolution kernels, thereby improving the output feature maps. Another notable patent is the joint training technique for depth map generation. This technique allows a depth prediction system to generate candidate feature maps and depth maps from training digital images, accurately identifying object depths and boundaries.

Career Highlights

Throughout his career, Lijun Wang has worked with notable companies such as Beijing Sensetime Technology Development Co., Ltd. and Adobe Inc. His experience in these organizations has allowed him to refine his skills and contribute to cutting-edge projects in the field of artificial intelligence and image processing.

Collaborations

Lijun Wang has collaborated with esteemed colleagues, including Xiaogang Wang and Wanli Ouyang. These partnerships have fostered a creative environment that has led to significant advancements in their respective fields.

Conclusion

Lijun Wang's contributions to computer vision through his patents and collaborations highlight his role as an influential inventor. His work continues to shape the future of technology in innovative ways.