
Creates dynamic and engaging lessons.
Encourages students to explore new ideas.
Encourages students to ask questions.
Thank you for being such a thoughtful and patient professor. Your encouragement made a huge difference in my confidence and performance.
Jinwei Ye served as Assistant Professor in the Division of Computer Science and Engineering at Louisiana State University and Agricultural and Mechanical College from 2017 to 2021 and continues as Adjunct Assistant Professor since 2022. She earned her Ph.D. in Computer Science from the University of Delaware in 2014, advised by Jingyi Yu, and her B.Eng. in Electronics and Information Engineering from Huazhong University of Science and Technology in 2009. Before joining LSU, she held positions as Senior Scientist at the Innovation Center of Canon U.S.A. in San Jose, California, from 2015 to 2017, and Postdoctoral Researcher at the US Army Research Laboratory in Adelphi, Maryland, from 2014 to 2015.
Her research focuses on computational photography, computer vision, virtual and augmented reality, computer graphics, and machine learning, particularly multi-perspective imaging, 3D surface and fluid reconstruction, polarization-based methods, and underwater imaging. Jinwei Ye has principalled several grants at LSU, including the National Science Foundation "RI: Small: Computational Imaging for Underwater Exploration" ($499,495, 2021-2024, Co-PI: Corina Barbalata), NSF CRII "General Surface Reconstruction via Polarized Computational Imaging" ($191,000, 2020-2022), NSF I-Corps "Universal 3D Scanning Through Polarization Field" ($50,000, 2021-2022), Louisiana Board of Regents "Computational Imaging Approach for 3D Volumetric Fluid Reconstruction" ($161,250, 2018-2020), and LSU LIFT2 "Development of Universal 3D Scanner Using Polarization Field" ($49,500, 2019-2020). She received awards such as Outstanding Reviewer for CVPR 2017, Patent Awards from Canon U.S.A. (2015, 2016), Frank A. Pehrson Graduate Student Achievement Award (University of Delaware, 2014), and Quantum Leap Innovations Graduate Student Excellence Award (2013). Notable publications include "Dynamic Fluid Surface Reconstruction Using Deep Neural Network" (CVPR 2020, oral), "Polarimetric Helmholtz Stereopsis" (ICCV 2021), "Learning to Remove Refractive Distortions from Underwater Images" (ICCV 2021), "Mirror Surface Reconstruction Using Polarization Field" (ICCP 2019, oral), and "Depth-of-Field Analysis and Coded Aperture Imaging on XSlit Cameras" (ECCV 2014, oral). She served as Area Chair for CVPR (2021, 2022) and ICPR (2021), and on LSU committees including Faculty Search and PhD Admission. Invited talks feature "Seeing the Unseen: Invisible Object 3D Reconstruction with Computational Imaging Approaches" at OSA Congress on Imaging and Applied Optics (2021).
