Shayan Shekarforoush

I am a final year Computer Science PhD student at University of Toronto, supervised by David Fleet and Marcus Brubaker. I am also affiliated with Vector Institute and closely collaborate with David Lindell. Currently, I am a research intern at Ubisoft La Forge, Toronto working on relightable and controllable head avatar, supervised by Abdallah Dib.

I was a research intern at Samsung AI Center Toronto supervised by Alex Levinshtein, working on dual-camera image enhancement. I was also research intern at Technical University of Munich led by Nassir Navab, working on Geometric Deep Learning. I received my B.Sc. in Computer Engineering from Sharif University of Technology, Iran.

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Research Interest

In my thesis, I studied 3D Reconstruction of biomolecules using cryo-EM, a transformational scientific imaging technique. Specifially, I've worked on Neural Fields and Gaussian Splatting to model biological structures and their dynamics. Also, I've worked on 3D Pose Estimation for cryo-EM.

News

  • (Sep-2025) CryoSPIRE got accpeted in NeurIPS 2025 (with two strong accepts!!) 🎉
  • (Aug-2025) Passed my Departmental Oral Exam! Thanks to my committee (2xDavid, Marcus)!
  • (June-2025) Started my research internship at Ubisoft La Forge!
  • (Oct-2024) CryoSPIN got oral presentation in MLSB workshop (NeurIPS) 🎉
  • (Sep-2024) CryoSPIN got accepted in NeurIPS 2024 🎉
  • Selected Publications
    cryospire Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery
    Shayan Shekarforoush, David Lindell, Marcus Brubaker, David Fleet
    NeurIPS 2025
    arXiv / project page
    semi-amortized CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference
    Shayan Shekarforoush, David Lindell, Marcus Brubaker, David Fleet
    NeurIPS 2024
    arXiv / project page / code / Oral (MLSB Workshop)
    dual-camera Dual-Camera Joint Deblurring-Denoising
    Shayan Shekarforoush, Aman Walia, Marcus Brubaker, Kosta Derpanis, Alex Levinshtein
    arXiv / project page
    resMFN Residual Multiplicative Filter Networks for Multiscale Reconstruction
    Shayan Shekarforoush, David Lindell, David Fleet, Marcus Brubaker
    NeurIPS 2022
    arXiv / project page / code
    physics_cryoem Physics aware inference for the cryo-EM inverse problem
    Geoffrey Woollard, Shayan Shekarforoush, Frank Wood, Marcus Brubaker, Khanh Dao Duc
    NeurIPS MLSB Workshop 2022
    paper
    miccai2019 Graph Convolution Based Attention Model for Personalized Disease Prediction
    Anees Kazi, Shayan Shekarforoush, S.Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Benedict Wiestler, Karsten Kortum, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
    MICCAI 2019
    paper
    incpetion InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction
    Anees Kazi, Shayan Shekarforoush, S.Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortuem, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
    IPMI 2019 (Oral Presentation)
    arXiv / code
    Teaching Assistant

  • Intro to Machine Learning (Head TA) - Winter 2024
  • Introduction to Image Understanding - Fall and Winter 2023
  • Computational Imaging - Fall 2022, 2024, 2025
  • Academic Service

  • Reviewer: NeurIPS, ICLR, ICML, ICCV, WACV

  • Template adapted from Jon Barron.