S. Mohammad Mostafavi I.

👋 Hello! I’m an artificial intelligence researcher specializing in computer vision and machine learning. With a passion for solving complex problems, I’ve dedicated 3+ years to medical AI, particularly in the field of computational pathology. Additionally, I have 7+ years of experience in event-based vision, focusing on event cameras. Explore my latest interests here, and/or keep reading for a concise overview about me.

Current Affiliations

(1) I am a postdoc researcher (Since Sep. 2025) at Korea Advnaced Institute of Science and Technology (KAIST) Visual Intelligence lab. Conducted in collaboration with my 2nd affiilation, SNUMPR, this research is supported by South Korea’s Ministry of Science and ICT through the InnoCORE (Innovation + Core Researchers) program.

(2) I continue to be a postdoc researcher (Since Apr. 2024) at Seoul National University (SNU) Machine Perception and Reasoning lab. I collaborate on event-based vision research, image-to-image translation research involving diffusion and consistency models, and also versatile incremental learning.

Back to Academia after Industry I was a nomadic postdoc researcher position at Medical Imaging and Signal Processing Research Center MISP at the Medical University of Isfahan, Iran. This project is held by Iran’s National Elites Foundation INEF conducted via the Connect Platform. In addition to developing CV/ML data and deep learning project that are mainly focused on medical AI, I design and teach AI courses to medical students and professors to foster interdisciplinary research teams.

Industry Experience after PhD As a Senior Research Scientist and Team Leader at Lunit’s Oncology AI group, I’ve been at the forefront of driving progress. Our collaborative efforts have led to prestigious awards, impactful research papers, and even a patent. Though our team was titled model-centric, I further thrive on exploring data-centric, and engineering-centric approaches to advance the field.

Academic Journey During my Ph.D. research at GIST (and KAIST), I deeply explored many exciting applications of event cameras (event-based-vision). My work spanned areas such as image reconstruction, super-resolution, and stereo depth estimation. Recognized at top conferences, my findings have been published in esteemed journals.

My Mission My north star is enhancing business efficiency and ensuring sustainable growth in every project I undertake. I am passionate about contributing to AI for humanitarian causes, working to save lives, alleviate suffering, and uphold human dignity.

Feel free to explore my CV, GitHub and Google Scholar profiles for more details about my research and contributions.

news

Sep 01, 2025	Starting a new posptdoctoral fellow program conducted in collaboration between the KAIST Visual Intelligence Lab and the SNU Machine Perception and Reasoning Lab, this research is supported by South Korea’s Ministry of Science and ICT through the InnoCORE (Innovation + Core Researchers) program.
Oct 21, 2024	I’m invited as keynote speaker at the 2024 IAI event’s “gathering of artificial intelligence activists” hosted by the Iran’s National Elites Foundation.
Jul 15, 2024	A pleasure to serve as a reviewer for MICCAI’s workshops: CaPTion, COMPAYL, MLMI, and MOVI!
Jun 21, 2024	Glad to join a new Postdoc position at MUI’s “Medical Image and Signal Processing Research Center”!
Mar 20, 2024	Nice to reconnect as a short-term researcher at SNU’s “Machine Perception and Reasoning” lab!

selected publications

🏆 J. IJCV 2021

Learning to Reconstruct HDR Images from Events, with Applications to Depth and Flow Prediction

Mohammad Mostafavi, Lin Wang, and Kuk-Jin Yoon

International Journal of Computer Vision (IJCV), 2021

Bib PDF

@article{mostafavi2021learning,
  title = {Learning to Reconstruct HDR Images from Events, with Applications to Depth and Flow Prediction},
  author = {Mostafavi, Mohammad and Wang, Lin and Yoon, Kuk-Jin},
  journal = {International Journal of Computer Vision (IJCV)},
  pages = {1--21},
  year = {2021},
  publisher = {Springer US},
}

🏆Oral CVPR 2020

Learning to super resolve intensity images from events

Mohammad Mostafavi, Jonghyun Choi, and Kuk-Jin Yoon

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2020

👨‍💻Code Bib PDF Video

Code avaialable at https://github.com/gistvision/e2sri (50⭐)

@inproceedings{mostafavi2020learning,
  title = {Learning to super resolve intensity images from events},
  author = {Mostafavi, Mohammad and Choi, Jonghyun and Yoon, Kuk-Jin},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {2768--2776},
  year = {2020},
}

🏆 J. TPAMI 2021

E2SRI: Learning to super-resolve intensity images from events

Mohammad Mostafavi, Yeongwoo Nam, Jonghyun Choi, and Kuk-Jin Yoon

IEEE transactions on pattern analysis and machine intelligence, 2021

Bib PDF

@article{mostafavi2021e2sri,
  title = {E2SRI: Learning to super-resolve intensity images from events},
  author = {Mostafavi, Mohammad and Nam, Yeongwoo and Choi, Jonghyun and Yoon, Kuk-Jin},
  journal = {IEEE transactions on pattern analysis and machine intelligence},
  volume = {44},
  number = {10},
  pages = {6890--6909},
  year = {2021},
  publisher = {IEEE},
}

CVPR 2022

Stereo depth from events cameras: Concentrate and focus on the future

Yeongwoo Nam*, Mohammad Mostafavi*, Kuk-Jin Yoon, and Jonghyun Choi

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2022

👨‍💻Code Bib PDF

Code avaialable at https://github.com/yonseivnl/se-cff (37⭐)

@inproceedings{nam2022stereo,
  title = {Stereo depth from events cameras: Concentrate and focus on the future},
  author = {Nam*, Yeongwoo and Mostafavi*, Mohammad and Yoon, Kuk-Jin and Choi, Jonghyun},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {6114--6123},
  year = {2022},
}