Cody Reading

I am a PhD student at Simon Fraser University supervised by Andrea Tagliasacchi, My research interests are in 3D computer vision, generative models, and computer graphics. and. I am currently interested in using machine learning for 3D content creation and editing.

I received my master's degree from the University of Toronto supervised by Steven Waslander, and received my bachelor's degree from the University of Waterloo. I also worked at MARZ developing Vanity AI, an AI solution for facial editing for VFX.

Email / CV / Google Scholar / Twitter / Github

Research Experience

	Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields Lily Goli, Cody Reading, Silvia Sellán, Alec Jacobson, Andrea Tagliasacchi arXiv, 2023 Project Page / arXiv We introduce a post-hoc framework to evaluate uncertainty in any pre-trained NeRF without modifying the training process.
	InterTrack: Interaction Transformer for 3D Multi-Object Tracking John Willes, Cody Reading, Steven Waslander CRV, 2023 (Oral Presentation) arXiv / Video We introduce the Interaction Transformer to 3D MOT to generate discriminative object representations for data association.
	Categorical Depth Distribution Network for Monocular 3D Object Detection Cody Reading, Ali Harakeh, Julia Chae, Steven Waslander CVPR, 2021 (Oral Presentation) Project Page / arXiv / Video / Code We estimate a categorical depth distribution for each pixel to project image feature information to the appropiate depth interval in 3D space.
	Unlimited Road-scene Synthetic Annotation (URSA) Dataset Matt Angus, Mohamed ElBalkini, Samin Khan, Ali Harakeh, Oles Andrienko, Cody Reading, Steven Waslander, Krzysztof Czarnecki ITSC, 2018 Project Page / arXiv / Video / Dataset We generate a synthetic dataset for semantic segmentation based on GTA V.

Thanks to Jon Barron for the template and source code