Jindong Jiang

Research Scientist · NVIDIA Research

Email: jindongj at nvidia.com · Google Scholar · GitHub

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About

I am a Research Scientist at NVIDIA Research. I do architecture research for VLMs and LLMs.

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News

• May 2025: I joined Learning and Perception Research Group as a Research Scientist.
• April 2025: I successfully completed my Ph.D. defense at Rutgers University.
• Mar 2025: Preprint of our new work, Token-Efficient Long Video Understanding for Multimodal LLMs, for long-video Multimodal LLMs, is out on arXiv.
• Sep 2024: Our Slot State Space Models is accepted to NeurIPS 2024.
• June 2024: Preprint of our new work, Slot State Space Models, for modular sequence modeling, is out on arXiv.
• June 2024: I joined Learning and Perception Research Group as a Research Intern in the Summer of 2024.
• Feb 2024: Our Layout-Agnostic Scene Text Image Synthesis with Diffusion Models is accepted to CVPR 2024.
• Sep 2023: Our Object-Centric Slot Diffusion is accepted to NeurIPS 2023 as a 🌟Spotlight🌟 paper.
• Apr 2023: Our Object-Centric Slot Diffusion for Unsupervised Compositional Generation, is accepted to CVPR 2023 GCV Workshop.
• Feb 2023: I will be joining as a Research Scientist Intern in the Summer of 2023.

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Publications

• Token-Efficient Long Video Understanding for Multimodal LLMs

  • { Jindong Jiang, Xiuyu Li }, Zhijian Liu, Muyang Li, Guo Chen, Zhiqi Li, De-An Huang, Guilin Liu, Zhiding Yu, Kurt Keutzer, Sungjin Ahn, Jan Kautz, Hongxu Yin, Yao Lu, Song Han, Wonmin Byeon
  • Preprint 2025 [paper] [webpage]

• Slot State Space Models

  • Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn
  • NeurIPS 2024 [paper] [webpage]

• SceneTextGen: Layout-Agnostic Scene Text Image Synthesis with Diffusion Models

  • Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan
  • CVPR 2024 [paper]

• Object-Centric Slot Diffusion

  • Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn
  • NeurIPS 2023 🌟Spotlight🌟 (top 3% = 378/12343) [paper] [webpage]

• Generative Neurosymbolic Machines

  • Jindong Jiang and Sungjin Ahn
  • NeurIPS 2020 🌟Spotlight🌟 (top 4% = 395/9454) [paper] [code]

• Improving Generative Imagination in Object-Centric World Models

  • Zhixuan Lin, Yi-Fu Wu, Skand Peri, Bofeng Fu, Jindong Jiang, Sungjin Ahn
  • ICML 2020 [paper] [webpage]

• SCALOR: Generative World Models with Scalable Object Representations

  • { Jindong Jiang, Sepehr Janghorbani }, Gerard de Melo, Sungjin Ahn
  • ICLR 2020 [paper] [webpage]

• SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition

  • { Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri }, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn
  • ICLR 2020 [paper] [webpage]

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