Cordelia Luise Schmid

Title: Innovations of Cordelia Luise Schmid

Introduction

Cordelia Luise Schmid is a prominent inventor based in Saint Ismier, France. She has made significant contributions to the field of machine learning and multimedia data processing. With a total of nine patents to her name, her work focuses on advancing technologies that enhance the understanding and processing of video and image data.

Latest Patents

One of her latest patents is titled "Pre-training a model using unlabeled videos." This patent describes systems and methods for performing captioning for image or video data. The method involves receiving unlabeled multimedia data and outputting captions from a machine learning model. The training process includes inputting a subset of video frames and a first utterance into the model, predicting a second utterance, and updating the model's parameters based on a loss function that compares the predicted utterance with the actual second utterance.

Another notable patent is "Agent trajectory prediction using target locations." This system obtains scene context data that characterizes the environment, including the trajectory of an agent near a vehicle. It identifies initial target locations and generates predicted likelihood scores for each target location, indicating the likelihood of it being the intended final location for the agent's future trajectory. The system then selects likely future trajectories based on these predictions.

Career Highlights

Cordelia has worked with leading technology companies, including Google Inc. and Waymo LLC. Her experience in these organizations has allowed her to develop innovative solutions that address complex challenges in machine learning and artificial intelligence.

Collaborations

Some of her notable coworkers include Chen Sun and Rahul Sukthankar. Their collaborative efforts have contributed to the advancement of technologies in the fields they specialize in.

Conclusion

Cordelia Luise Schmid's work exemplifies the innovative spirit of modern inventors. Her contributions to machine learning and multimedia processing continue to influence the industry and pave the way for future advancements.