S. Mohammad Mostafavi I.

whoami yet another ai (cv/ml) researcher

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👋 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.

Industry Experience 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

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 (فارسی).
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!
Dec 20, 2023 Happy to be an organizer of IEEE ICME 2024 special session on Advances in Neuromorphic Vision!

selected publications

  1. 🏆 J. IJCV 2021
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    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
  2. 🏆Oral CVPR 2020
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    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
  3. 🏆 J. TPAMI 2021
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    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
  4. CVPR 2022
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    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