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Jinjie Mai

About Jinjie Mai

Jinjie Mai

  • Ph.D. Student, Computer Science

scene understanding 3D understanding generative models deep learning machine learning Computer Vision

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.

Articles

Related News

March 2026

  • Five IVUL Papers Accepted to CVPR 2026

    1 min read · Sun, Mar 1 2026

    News

    CVPR

    IVUL has five papers accepted to CVPR 2026, which will be held in Denver, Colorado, June 3–7, 2026. The accepted papers are: β-CLIP: Text-Conditioned Contrastive Learning for Multi-Granular Vision-Language Alignment Authors: Fatimah Zohra, Chen Zhao, Hani Itani, Bernard Ghanem Affiliations: KAUST CURE: Curriculum-Guided Multi-Task Training for Reliable Anatomy-Grounded Report Generation Authors: Pablo Messina, Andrés Villa, Juan León Alcázar, Karen Sánchez, Carlos Hinojosa, Denis Parra, Álvaro Soto, Bernard Ghanem Affiliations: KAUST; Pontificia Universidad Católica de Chile EasyV2V: A High

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Related Sites

  • Center of Excellence for Generative AI (GenAI)
  • Image and Video Understanding Lab (IVUL)
  • Computer Science (CS)

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  • Upcoming Events

    • KAUST CEMSE CS Jinjie Mai Modeling the Visual World Across Space and Time: From Observation to Interaction

      Modeling the Visual World Across Space and Time: From Observation to Interaction

      Jinjie Mai , Ph.D. Student, Computer Science
      Nov 19, 16:30 - 18:30

      Zoom Meeting 3940614410

      3D understanding scene understanding Computational modeling deep learning

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  • Jinjie Mai's personal website

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