I am a PhD student in Computer Science at University of Toronto, co-advised by Alec Jacobson and Andrea Tagliasacchi. I am currently focused on improving robustness in 3D models like Radiance Fields and enabling them to work seamlessly with 3D processing tools. More broadly, I am interested in 3D Computer Vision and Graphics. I am also a student researcher at Google DeepMind.

Previously, I did my B.Sc. in Sharif University of Technology, during which I had two wonderful internships at IFL lab working with Nassir Navab, and at RCL lab with Purang Abolmaesumi.

I held a 3D Vision reading group at UofT in 2023. Feel free to get in touch if you're interested and would like to help organizing another round of the reading group.

Publications

SpotlessSplats: Ignoring Distractors in 3D Gaussian Splatting

Lily Goli*, Sara Sabour*, George Kopanas, Mark Matthews, Dmitry Lagun, Leonidas Guibas, Alec Jacobson, David J. Fleet, Andrea Tagliasacchi

preprint

Bayes’ Rays: Uncertainty Quantification for Neural Radiance Fields

Lily Goli, Cody Reading, Silvia Sellán, Alec Jacobson, Andrea Tagliasacchi

CVPR 2024 (Highlight)

BANF: Band-limited Neural Fields for Levels of Detail Reconstruction

Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading, Lily Goli, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi

CVPR 2024

nerf2nerf: Pairwise Registration of Neural Radiance Fields

Lily Goli, Daniel Rebain, Sara Sabour, Animesh Garg, Andrea Tagliasacchi

ICRA 2023, CVPR workshop (XRNeRF) 2023, Computer Vision News cover (March 2023)

Longitudinal Quantitative Assessment of COVID-19 Infection Pro- gression from Chest CTs

Lily Goli*, Seong Tae Kim*, Magdalini Paschali, Ashkan Khakzar, Matthias Keicher, Tobias Czempiel, Egon Burian, Rickmer Braren, Nassir Navab, Thomas Wendler

MICCAI 2021

Generating Unrestricted Misclassified Examples via Three Parameters

Hanieh Naderi, Lily Goli, Shohreh Kasaei

Multimedia Tools and Applications 2021

Scale Equivariant CNNs with Scale Steerable Filters

Hanieh Naderi, Lily Goli, Shohreh Kasaei

Machine Vision and Image Processing (MVIP) 2020