Dong Lao

Dong Lao

Assistant Professor · Division of Computer Science & Engineering · Louisiana State University
Portrait of Dong Lao

About

Dong Lao is an Assistant Professor in the Division of Computer Science and Engineering within the LSU College of Engineering. Prior to LSU, he was a Postdoctoral Research Scholar at UCLA Vision Lab. He holds a Ph.D. in Applied Mathematics and Computational Sciences from KAUST and a B.S. in Mathematics from SJTU.

His research focuses on computer vision models with minimal human supervision, robustness of AI, computational imaging, and optimization. His work appears in CVPR, ICCV, ECCV, NeurIPS, ICML, and JMLR.

Education

  • Ph.D., Applied Mathematics & Computational Sciences — King Abdullah University of Science and Technology, 2017–2021
  • M.S., Applied Mathematics & Computational Sciences — King Abdullah University of Science and Technology, 2015–2017
  • B.S., Mathematics (Honors) — Shanghai Jiao Tong University, 2011–2015

Selected Publications

Full list in my CV or Google Scholar.

Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation
Dong Lao, Congli Wang, Alex Wong, Stefano Soatto — CVPR 2024
On the Viability of Monocular Depth Pre-training for Semantic Segmentation
Dong Lao, Alex Wong, Samuel Lu, Stefano Soatto — ECCV 2024
Sub-token ViT Embedding via Stochastic Resonance Transformers
Dong Lao, Yangchao Wu, Tian Yu Liu, Alex Wong, Stefano Soatto — ICML 2024
Flow-guided Video Inpainting with Scene Templates
Dong Lao, Peihao Zhu, Peter Wonka, Ganesh Sundaramoorthi — ICCV 2021
Phase Consistent Ecological Domain Adaptation
Yanchao Yang*, Dong Lao*, Ganesh Sundaramoorthi, Stefano Soatto — CVPR 2020
Minimum Delay Object Detection from Video
Dong Lao, Ganesh Sundaramoorthi — ICCV 2019
Extending Layered Models to 3D Motion
Dong Lao, Ganesh Sundaramoorthi — ECCV 2018
Minimum Delay Moving Object Detection
Dong Lao, Ganesh Sundaramoorthi — CVPR 2017

Teaching

  • CSE 4444: Artificial Intelligence — Fall 2025

Students

I welcome inquiries from prospective students interested in computer vision and machine learning.

If you are an active LSU student, please schedule a meeting with me to discuss potential opportunities.

If you are not an active LSU student, please send an email to lsuvisionhire [at] gmail.com

Service

  • Reviewer: TPAMI, IJCV, CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, BMVC, WACV, ACCV, ACMMM, etc.

Contact

3272W Patrick F. Taylor Hall, Baton Rouge, LA

  • Email: dlao1 [at] lsu.edu

Office Hour: TBD