Andrea Tagliasacchi, Simon Fraser University

Research

3D deep learning coordinate neural networks geometric deep learning geometry processing neural fields neural fields processing toolbox priors for spatial perception semantic understanding

Latest funding

Space-time 4D Reconstruction with Video Generative Models
NSERC · 2024 · Co-investigator
$55,456
Extreme Distillation of Monocular Geometry Estimators
NSERC · 2024 · Co-investigator
$67,786
Neural fields for 3D visual perception
NSERC · 2023 · Principal investigator
$92,000

All 4 grants and awards

Space-time 4D Reconstruction with Video Generative Models

Co-investigatorNSERC2024Alliance Grants

Principal investigators: Yi, Kwang Moo KM

Keywords: 3d computer vision; 3d reconstruction; diffusion models; dynamic 3d reconstruction; generative models; neural rendering; text-to-3d; text-to-4d; text-to-video; video diffusion models

$55,456

Extreme Distillation of Monocular Geometry Estimators

Co-investigatorNSERC2024Alliance Grants

Principal investigators: Yi, Kwang Moo KM

Keywords: 2d to 3d; 3d computer vision; 3d reconstruction; ensemble; foundational models; gaussian splatting; knowledge distillation; monocular depth estimation; semantic segmentation; sub-sampling

$67,786

Neural fields for 3D visual perception

Principal investigatorNSERC2023Discovery Grants Program - Individual

Principal investigators: Tagliasacchi, Andrea

Keywords: spatial perception; 3d deep learning; geometric deep learning; semantic understanding; geometry processing; neural fields; coordinate neural networks; priors for spatial perception; uncertainty modeling in neural fields; neural fields processing toolbox

$92,000

Real-Time Modeling and Registration of Dynamic Geometry

Principal investigatorNSERC2016Discovery Grants Program - Individual

Principal investigators: Tagliasacchi, Andrea

$217,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Mention their NSERC grant from 2023

Subject: Prospective PhD student: 3D deep learning Dear Professor Tagliasacchi, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on 3d deep learning connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Neural fields for 3D visual perception" (2023), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]