Organizers

Peter Vajda

Peter is a research scientist manager at Meta. Peter joined Meta in 2014 as a Research Scientist. Currently, he is managing the Mobile Vision team on efficient computer vision algorithms for AR/VR devices. Before joining Facebook, he was Visiting Assistant Professor at Stanford University, Stanford, USA, working on personalized multimedia systems and mobile visual search. He is the organizer of the CVPR efficient computer vision (ECV) workshops in 2018 - 2022.

Peizhao Zhang

Peizhao Zhang is a research scientist at Meta working on efficient deep learning. His work includes efficient model design, automatic architecture search, as well as efficient models for different applications. He holds a Ph.D. in Computer Science from Texas A&M University. He is the organizer of the CVPR efficient computer vision (ECV) workshops from 2019 to 2022. 

Bichen Wu

Bichen Wu is a research scientist at Meta working on efficient deep learning algorithms, models, and systems. His research includes efficient computer vision, 3D computer vision, neural architecture search, speech synthesis, and so on. He obtained his Ph.D. from UC Berkeley and his bachelor's degree from Tsinghua University. He is the organizer of the CVPR efficient computer vision (ECV) workshops from 2019 to 2022.

Tao Xu

Tao Xu is a research scientist at Meta since received her PhD degree in the Department of Computer Science and Engineering from Lehigh University in 2018. She received the BE degree in agricultural mechanization and automatization from China Agricultural University in 2010, and the MS degree in computer science from Chinese Academy of Science in 2013. Her current research interests include deep learning, computer vision, and generative adversarial networks.

Xiaoliang Dai

Research scientist at Generative AI in Meta, working on computer vision, generative models and efficient deep learning.

Ji Hou 

Research Scientist at Generative AI in Meta, where he works on generative foundation models. His research interests include scene understanding, 3D Vision and generative AI.

Angela Dai

Angela Dai is an Assistant Professor at the Technical University of Munich where she leads the 3D AI group. Her research focuses on understanding how the 3D world around us can be modeled and semantically understood. Previously, she received her PhD in computer science from Stanford in 2018 and her BSE in computer science from Princeton in 2013. Her research has been recognized through a ZDB Junior Research Group Award, an ACM SIGGRAPH Outstanding Doctoral Dissertation Honorable Mention, as well as a Stanford Graduate Fellowship.

Sharon Xiaolei Huang

Sharon is a professor at the Penn State University. Her research interests include computer vision, machine learning, domain adaptation, robustness, and fairness. Her research interests are in the areas of biomedical image analysis, computer vision, and machine learning, focusing on methods for object recognition, image and video segmentation, image and video synthesis, computer-assisted diagnosis and intervention, registration/matching, and motion tracking.

Judy Hoffman

Judy Hoffman is an Assistant Professor in the School of Interactive Computing at Georgia Tech and a member of the Machine Learning Center. Her research interests include computer vision, machine learning, domain adaptation, robustness, and fairness.