Peizhao Li

Research Scientist at Google

peizhaoli05 [AT] gmail.com

Bio

My name is Peizhao Li, pronounced as 'Pay-Jow Lee' and written as '李沛钊' in Chinese. I am a Research Scientist with the Apparel Virtual Try-On team at Google. I am based in Seattle, WA. Prior to this, I was a Research Scientist at GE HealthCare, and received my Ph.D. from Brandeis University in 2024.

I work on productionizing Generative AI at Google. In the past, I worked on Responsible AI, Multimodal Learning, and Computer Vision. My research was recognized by a NIJ Graduate Research Fellowship, a Meta Ph.D. Research Fellowship Finalist, and a CVPR Best Paper Award.

I was very fortunate to have Prof. Hongfu Liu as my Ph.D. advisor.

Recent Publications

My three most recent papers. For full publications, please refer to my Google Scholar profile.

UniAR: A Unified model for predicting human Attention and Responses on visual content

Peizhao Li, Junfeng He, Gang Li, Rachit Bhargava, Shaolei Shen, Nachiappan Valliappan, Youwei Liang, Hongxiang Gu, Venky Ramachandran, Golnaz Farhadi, Yang Li, Kai J Kohlhoff, Vidhya Navalpakkam.

NeurIPS'24: Neural Information Processing Systems, 2024

MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception

Mohammad Mahbubur Rahman, Ryoma Yataka, Sorachi Kato, Pu Wang, Peizhao Li, Adriano Cardace, Petros Boufounos

ECCV'24: European Conference on Computer Vision, 2024

Rich Human Feedback for Text-to-Image Generation

Youwei Liang, Junfeng He, Gang Li, Peizhao Li, Arseniy Klimovskiy, Nicholas Carolan, Jiao Sun, Jordi Pont-Tuset, Sarah Young, Feng Yang, Junjie Ke, Krishnamurthy Dj Dvijotham, Katie Collins, Yiwen Luo, Yang Li, Kai J Kohlhoff, Deepak Ramachandran, Vidhya Navalpakkam

CVPR'24: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024 (Oral, Best Paper Award)