I am a 3D computer vision researcher, interested in perception, reconstruction, and generation. I aim to develop tools that understand our surrounding 3D world.

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 worked at MARZ developing Vanity AI, an AI solution for facial editing for VFX, and at Huawei Noah’s Ark Lab working on indoor mobile robotic applications.

Experience

July 2024 - June 2025

Senior Researcher Huawei Noah's Ark Lab

Built indoor mobile robotic pipelines to enable manipulation and navigation, involving implementation of methods in 3D scene graph estimation, segmentation, SLAM, path planning, and control.

Sept. 2023 - April 2024

3D Content Creation Researcher Simon Fraser University

Implemented novel techniques in 3D content creation and generative models, involving optimizing NeRF and 3D Gaussian representations with diffusion guidance.

Jan. 2022 - Aug. 2023

Machine Learning Research Associate MARZ

Developed a facial de-aging tool Vanity AI designed for VFX applications, achieving 300x speed up compared to traditional VFX workflows.

Sept. 2019 - Dec. 2021

3D Perception Researcher University of Toronto

Developed methodologies in autonomous vehicle 3D perception, achieving 1st and 2nd place on 3D monocular object detection and 3D multi-object tracking benchmarks respectively.

Jan. 2018 - Aug. 2018

Software Engineer (Autonomous Driving) NVIDIA Corporation

Integrated a vehicle trajectory generation library within the NVIDIA DriveWorks SDK using C++ to generate a sequence of vehicle poses from GPS, IMU, and CAN sensor data.

May 2017 - Aug. 2017

Semantic Segmentation Research Co-op University of Waterloo

Developed semantic segmentation training infrastructure to support unified training of the SegNet and FCN methods on the Cityscapes, Playing-for-data, and Synthia datasets.

Publications

Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields

CVPR 2024

Highlight

Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields

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

A post-hoc framework to evaluate uncertainty in any pre-trained NeRF without modifying the training process.

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

CVPR 2024

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

A method for band-limited frequency decomposition in neural fields

InterTrack: Interaction Transformer for 3D Multi-Object Tracking

CRV 2023

Oral Presentation

InterTrack: Interaction Transformer for 3D Multi-Object Tracking

John Willes, Cody Reading, Steven Waslander

Interaction Transformer improves discriminative feature learning and object association

Categorical Depth Distribution Network for Monocular 3D Object Detection

CVPR 2021

Oral Presentation

Categorical Depth Distribution Network for Monocular 3D Object Detection

Cody Reading, Ali Harakeh, Julia Chae, Steven Waslander

Estimating categorical depth distributions results in accurate image feature projection into 3D

Unlimited Road-scene Synthetic Annotation (URSA) Dataset

ITSC 2018

Unlimited Road-scene Synthetic Annotation (URSA) Dataset

Matt Angus, Mohamed ElBalkini, Samin Khan, Ali Harakeh, Oles Andrienko, Cody Reading, Steven Waslander, Krzysztof Czarnecki

Synthetic dataset generation for autonomous vehicle semantic segmentation based on GTA V

Education

2019 - 2021

University of Toronto

M.A.Sc. in Aerospace Engineering

Advisor: Prof. Steven Waslander

2013 - 2019

University of Waterloo

B.A.Sc. in Mechatronics Engineering