Jinjie Mai
Jinjie Mai is a Ph.D. student in Computer Science at King Abdullah University of Science and Technology (KAUST), advised by Prof. Bernard Ghanem, where his research focuses on modeling the visual world across space and time from images and video, spanning computer vision, visual computing, and generative AI.
Biography
Jinjie Mai is a Ph.D. candidate in Computer Science at King Abdullah University of Science and Technology (KAUST), advised by Prof. Bernard Ghanem. Jinjie received his bachelor’s degree in Engineering from School of Data and Computer Science, Sun Yat-sen University, China in 2020. He was a visiting student at KAUST after graduation and then joined KAUST in 2022. His publications have appeared in CVPR, ICCV, ECCV, and SIGGRAPH Asia.
Expertise and Interests
His work investigates how geometric, spatial, and temporal structure can be recovered from imperfect visual observations, with interests including 3D reconstruction, camera pose estimation, visual correspondence learning, spatial reasoning, visual memory from long-form video, and 4D scene understanding. He also develops controllable video generation and editing systems that maintain spatial consistency and temporal coherence while responding to user instructions, reference content, and real-world events. By bridging visual perception and visual generation, his research aims to create intelligent systems that can both understand dynamic environments and interact with them in a coherent, context-aware, and user-driven manner.
Awards and Distinctions
Education
- Master of Science (M.S.)
- Computer Science, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2024
- Bachelor of Science (B.S.)
- Engineering, Sun Yat-sen University (SYSU), China, 2020
