David Hall

According to our database, David Hall authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Object Registration in Neural Fields.

David Hall, Stephen Hausler, Sutharsan Mahendren, Peyman Moghadam

CoRR, 2024

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

Stephen Hausler, David Hall, Sutharsan Mahendren, Peyman Moghadam

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2022

BenchBot environments for active robotics (BEAR): Simulated data for active scene understanding research.

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

Int. J. Robotics Res., 2022

Retrospectives on the Embodied AI Workshop.

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 G. 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

CoRR, 2022

2021

Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM.

Suman Raj Bista, David Hall, Ben Talbot, Haoyang Zhang, Feras Dayoub, Niko Sünderhauf

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

The Robotic Vision Scene Understanding Challenge.

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

CoRR, 2020

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

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

CoRR, 2020

Probabilistic Object Detection: Definition and Evaluation.

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

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019

A probabilistic challenge for object detection.

Niko Sünderhauf, Feras Dayoub, David Hall, John Skinner, Haoyang Zhang, Gustavo Carneiro, Peter Corke

Nat. Mach. Intell., 2019

The Probabilistic Object Detection Challenge.

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

CoRR, 2019

What Can Robotics Research Learn from Computer Vision Research?

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

Proceedings of the Robotics Research, 2019

Benchmarking Sampling-based Probabilistic Object Detectors.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation.

David Hall, Feras Dayoub, John Skinner, Peter Corke, Gustavo Carneiro, Niko Sünderhauf

CoRR, 2018

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

David Hall, Feras Dayoub, Tristan Perez, Chris McCool

Comput. Electron. Agric., 2018

2017

A transplantable system for weed classification by agricultural robotics.

David Hall, Feras Dayoub, Tristan Perez, Chris McCool

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Towards unsupervised weed scouting for agricultural robotics.

David Hall, Feras Dayoub, Jason Kulk, Chris McCool

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2015

Evaluation of Features for Leaf Classification in Challenging Conditions.

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

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015