All Publications

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

Authors: Stephen Hausler, David Hall, Sutharsan Mahendren, Peyman Moghadam

Year: 2024

Published in: ICRA 2024 (TBP)

Paper Link: reg-nf_arxiv

Bibtex: regnf-arxiv.bib

Note: Equal contribution with first author

Title: Retrospectives on the Embodied AI Workshop

Authors: Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D’Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu

Year: 2022

Published in: Arxiv pre-print

Paper Link: eai_retrospective_arxiv

Bibtex: eai_retrospective.bib

Title: BenchBot environments for active robotics (BEAR): simulated data for active scene understanding research

Authors: David Hall, Ben Talbot, Suman Raj Bista, Haoyang Zhang, Rohan Smith, Feras Dayoub, Niko Sünderhauf

Year: 2022

Published in: International Journal for Robotics Research

Paper Link: https://doi.org/10.1177/02783649211069404 

Bibtex: ijrr2022.bib

Title: The Robotic Vision Scene Understanding Challenge

Authors: David Hall, Ben Talbot, Suman Raj Bista, Haoyang Zhang, Rohan Smith, Feras Dayoub, Niko Sünderhauf

Year: 2020

Published in: Arxiv pre-print

Manuscript Download Link: su_challenge_arxiv

Bibtex: su_challenge_arxiv.bib

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

Authors: Ben Talbot, David Hall, Haoyang Zhang, Suman Raj Bista, Rohan Smith, Feras Dayoub, and Niko Sünderhauf 

Year: 2020

Published in: Arxiv pre-print

Manuscript Download Link: benchbot_arxiv

Bibtex: benchbot_arxiv.bib

Title: Probabilstic Object Detection: Definition and Evaluation

Authors: David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Suenderhauf

Year: 2020

Published in: 2020 IEEE Winter Conference on Applications of Computer Vision

Manuscript Download Link: WACV2020-arxiv

Bibtex: prod2020.bib

Title: What can robotics learn from computer vision research?

Authors: Peter Corke, Feras Dayoub, David Hall, John Skinner, Niko Sünderhauf 

Year: 2019

Published in: Proceeding of the International Symposium on Robotics Research (ISRR) 2019 

Manuscript Download Link: ISRR-arxiv

Title: Benchmarking Sampling-based Probabilistic Object Detectors

Authors: Dimity Miller, Niko Sünderhauf, Haoyang Zhang, David Hall, Feras Dayoub 

Year: 2019

Published in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops 

Workshop Paper Link: CVPRWS

Bibtex: cvpr2019ws.bib

Title: The Probabilistic Object Detection Challenge

Authors: John Skinner, David Hall, Haoyang Zhang, Feras Dayoub, Niko Sünderhauf 

Year: 2019

Published in: ICRA 2019 Workshop

Manuscript Download Link: PrOD-ws-arxiv

Thesis

Title: A rapidly deployable approach for automated visual weed classification without prior species knowledge

Authors: David Hall

Year: 2018

Published by: Queensland University of Technology

Link to Paper: thesis2018.pdf

Bibtex: thesis.bib

Title: A rapidly deployable classification system  using visual data for the application of precision weed management.

Authors: David Hall, Feras Dayoub, Tristan Perez, Chris McCool

Year: 2018

Published in: Computers and Electronics in Agriculture, Vol. 148

Manuscript Download Link: COMPAG2018_manuscript.pdf

Official Paper Link: 

https://www.sciencedirect.com/science/article/pii/S0168169917309018 

Bibtex: compag2018.bib

Title: A Transplantable System for Weed Classification by Agricultural Robotics

Authors: David Hall, Feras Dayoub, Tristan Perez, Chris McCool

Year: 2017

Published in: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems 

Paper Link: IROS2017.pdf

Bibtex: iros2017.bib

Title: Towards Unsupervised Weed Scouting for Agricultural Robotics

Authors: David Hall, Feras Dayoub, Jason Kulk, Chris McCool

Year: 2017

Published in: IEEE International Conference on Robotics and Automation 2017

Paper Link: ICRA2017.pdf

Bibtex: icra2017.bib

Title: Evaluation of Features for Leaf Classification in Challenging Conditions

Authors: David Hall, Chris McCool, Feras Dayoub, Niko Sünderhauf, Ben Upcroft

Year:  2015

Published in: 2015 IEEE Winter Conference on Applications of Computer Vision

Paper Link: WACV2015.pdf

Bibtex: wacv2015.bib