Liangchen Song

Title: Innovations by Liangchen Song in Motion Estimation and View Prediction

Introduction

Liangchen Song is an accomplished inventor based in Sunnyvale, CA. He has made significant contributions to the field of motion estimation and view prediction through his innovative patent. His work focuses on utilizing machine learning models to enhance the understanding and prediction of 3D scenes.

Latest Patents

Liangchen Song holds a patent titled "Systems and methods for motion estimation and view prediction." This patent describes systems and methods associated with estimating the motions of multiple 3D points in a scene and predicting a view of the scene based on the estimated motions. The tasks are accomplished using one or more machine-learning models. A first model predicts motion-embedding features for a temporal state of a scene, based on previous states. A second model predicts a motion field representing displacement or deformation of the 3D points from a source time to a target time. Finally, a third model predicts respective image properties of the 3D points based on their updated locations and/or a viewing direction. An image of the scene at the target time is then generated based on the predicted image properties of the 3D points. Liangchen Song has 1 patent to his name.

Career Highlights

Liangchen Song is currently associated with Shanghai United Imaging Intelligence Co., Ltd. His role at the company allows him to further explore and develop his innovative ideas in the realm of imaging and motion analysis.

Conclusion

Liangchen Song's contributions to motion estimation and view prediction highlight the intersection of technology and creativity. His innovative patent showcases the potential of machine learning in enhancing our understanding of 3D environments.