Lily
Xianling Zhang
Machine Learning Research Scientist, Technical Project Lead
Ford Motor Company
Following roles at BMW and Udacity, Lily has now enjoyed almost 4 years at Ford, where she is currently Technical Project Lead. She has carried outstanding research, and had two papers featured at CVPR 2022 - the details of which can be seen below. - SIMBAR: Single Image-Based Scene Relighting for Effective Data Augmentation for Automated Driving Vision Tasks - deepPIC: Deep Perceptual Image Clustering For Identifying Bias In Vision Datasets
17 April 2024 12:15 - 12:45
Deep learning-based data-centric solutions for vision tasks
Lily (Xianling) Zhang is a Machine Learning Research Scientist at Ford Autonomy team, Palo Alto. The talk will focus on her work on delivering AI-based data-centric solutions that empower deep learning for Ford self-driving vision tasks. The workstreams and results have been covered in her recent CVPR publications: synthetic data rendering, real data manipulation and augmentation, image data selection and retrieval, which all fall into this same umbrella -- Data Intelligence.