Search Results for author: David Hall

Found 30 papers, 9 papers with code

Object Registration in Neural Fields

no code implementations29 Apr 2024 David Hall, Stephen Hausler, Sutharsan Mahendren, Peyman Moghadam

Neural fields provide a continuous scene representation of 3D geometry and appearance in a way which has great promise for robotics applications.


Reg-NF: Efficient Registration of Implicit Surfaces within Neural Fields

no code implementations15 Feb 2024 Stephen Hausler, David Hall, Sutharsan Mahendren, Peyman Moghadam

Neural fields, coordinate-based neural networks, have recently gained popularity for implicitly representing a scene.

Anticipatory Music Transformer

no code implementations14 Jun 2023 John Thickstun, David Hall, Chris Donahue, Percy Liang

We achieve this by interleaving sequences of events and controls, such that controls appear following stopping times in the event sequence.

Music Generation

Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training

3 code implementations23 May 2023 Hong Liu, Zhiyuan Li, David Hall, Percy Liang, Tengyu Ma

Given the massive cost of language model pre-training, a non-trivial improvement of the optimization algorithm would lead to a material reduction on the time and cost of training.

Language Modelling Stochastic Optimization

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

2 code implementations28 Dec 2022 Omar Khattab, Keshav Santhanam, Xiang Lisa Li, David Hall, Percy Liang, Christopher Potts, Matei Zaharia

Retrieval-augmented in-context learning has emerged as a powerful approach for addressing knowledge-intensive tasks using frozen language models (LM) and retrieval models (RM).

In-Context Learning Language Modelling +2

Reducing the Athena WFI charged particle background: Results from Geant4 simulations

no code implementations2 Dec 2020 Catherine E. Grant, Eric D. Miller, Marshall W. Bautz, Tanja Eraerds, Silvano Molendi, Jonathan Keelan, David Hall, Andrew D. Holland, Ralph P. Kraft, Esra Bulbul, Paul Nulsen, Steven Allen

One of the science goals of the Wide Field Imager (WFI) on ESA's Athena X-ray observatory is to map hot gas structures in the universe, such as clusters and groups of galaxies and the intergalactic medium.

Instrumentation and Methods for Astrophysics

A simulation environment for drone cinematography

no code implementations3 Oct 2020 Fan Zhang, David Hall, Tao Xu, Stephen Boyle, David Bull

Methods for environmental image capture, 3D reconstruction (photogrammetry) and the creation of foreground assets are presented along with a flexible and user-friendly simulation interface.

3D Reconstruction

BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots

no code implementations3 Aug 2020 Ben Talbot, David Hall, Haoyang Zhang, Suman Raj Bista, Rohan Smith, Feras Dayoub, Niko Sünderhauf

We introduce BenchBot, a novel software suite for benchmarking the performance of robotics research across both photorealistic 3D simulations and real robot platforms.


Tropical and Extratropical Cyclone Detection Using Deep Learning

no code implementations18 May 2020 Christina Kumler-Bonfanti, Jebb Stewart, David Hall, Mark Govett

All four U-Nets are fast information extraction tools and perform with a ROI detection accuracy ranging from 80% to 99%.

BIG-bench Machine Learning Image Segmentation +1

From Google Maps to a Fine-Grained Catalog of Street trees

no code implementations7 Oct 2019 Steve Branson, Jan Dirk Wegner, David Hall, Nico Lang, Konrad Schindler, Pietro Perona

We believe this is the first work to exploit publicly available image data for fine-grained tree mapping at city-scale, respectively over many thousands of trees.

The Probabilistic Object Detection Challenge

no code implementations19 Mar 2019 John Skinner, David Hall, Haoyang Zhang, Feras Dayoub, Niko Sünderhauf

We introduce a new challenge for computer and robotic vision, the first ACRV Robotic Vision Challenge, Probabilistic Object Detection.

Object object-detection +1

Probabilistic Object Detection: Definition and Evaluation

1 code implementation27 Nov 2018 David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Sünderhauf

We introduce Probabilistic Object Detection, the task of detecting objects in images and accurately quantifying the spatial and semantic uncertainties of the detections.

Object object-detection +1

A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management

no code implementations25 Jan 2018 David Hall, Feras Dayoub, Tristan Perez, Chris McCool

In this work, we obviate this assumption and introduce a rapidly deployable approach able to operate on any field without any weed species assumptions prior to deployment.

Classification Clustering +2

Towards Unsupervised Weed Scouting for Agricultural Robotics

no code implementations4 Feb 2017 David Hall, Feras Dayoub, Jason Kulk, Chris McCool

This greatly limits deployability as classification systems must be retrained for any field with a different set of weed species present within them.

Clustering General Classification +1

Cataloging Public Objects Using Aerial and Street-Level Images - Urban Trees

no code implementations CVPR 2016 Jan D. Wegner, Steven Branson, David Hall, Konrad Schindler, Pietro Perona

The main technical challenge is combining test time information from multiple views of each geographic location (e. g., aerial and street views).

Fine-Grained Classification of Pedestrians in Video: Benchmark and State of the Art

no code implementations CVPR 2015 David Hall, Pietro Perona

This dataset is designed to train and test algorithms for fine-grained categorisation of people, it is also useful for benchmarking tracking, detection and pose estimation of pedestrians.

Benchmarking General Classification +1

An improved model of Charge Transfer Inefficiency and correction algorithm for the Hubble Space Telescope

1 code implementation6 Jan 2014 Richard Massey, Tim Schrabback, Oliver Cordes, Ole Marggraf, Holger Israel, Lance Miller, David Hall, Mark Cropper, Thibaut Prod'homme, Sami-Matias Niemi

Read noise is added after charge transfer so does not get trailed - but it is incorrectly untrailed during post-processing.

Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics

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