Search Results for author: Cody Reading

Found 5 papers, 2 papers with code

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

no code implementations19 Apr 2024 Ahan Shabanov, Shrisudhan Govindarajan, Cody Reading, Lily Goli, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi

Largely due to their implicit nature, neural fields lack a direct mechanism for filtering, as Fourier analysis from discrete signal processing is not directly applicable to these representations.

Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields

1 code implementation6 Sep 2023 Lily Goli, Cody Reading, Silvia Sellán, Alec Jacobson, Andrea Tagliasacchi

Neural Radiance Fields (NeRFs) have shown promise in applications like view synthesis and depth estimation, but learning from multiview images faces inherent uncertainties.

Depth Estimation Uncertainty Quantification

InterTrack: Interaction Transformer for 3D Multi-Object Tracking

no code implementations17 Aug 2022 John Willes, Cody Reading, Steven L. Waslander

We then perform a learned regression on each track/detection feature pair to estimate affinities, and use a robust two-stage data association and track management approach to produce the final tracks.

3D Multi-Object Tracking Autonomous Vehicles +3

Unlimited Road-scene Synthetic Annotation (URSA) Dataset

no code implementations16 Jul 2018 Matt Angus, Mohamed ElBalkini, Samin Khan, Ali Harakeh, Oles Andrienko, Cody Reading, Steven Waslander, Krzysztof Czarnecki

Utilizing open-source tools and resources found in single-player modding communities, we provide a method for persistent, ground truth, asset annotation of a game world.

Semantic Segmentation

Cannot find the paper you are looking for? You can Submit a new open access paper.