Evaluation of Features for Leaf Classification in Challenging Conditions. - David Hall 003; Chris McCool; Feras Dayoub; Niko Sünderhauf; Ben Upcroft (WACV, 2015)

Towards unsupervised weed scouting for agricultural robotics. - David Hall 003; Feras Dayoub; Jason Kulk; Chris McCool (ICRA, 2017)

A transplantable system for weed classification by agricultural robotics. - David Hall 003; Feras Dayoub; Tristan Perez; Chris McCool (IROS, 2017)

A rapidly deployable classification system using visual data for the application of precision weed management. - David Hall 003; Feras Dayoub; Tristan Perez; Chris McCool (Comput. Electron. Agric., 2018)

Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation. - David Hall 003; Feras Dayoub; John Skinner; Peter Corke; Gustavo Carneiro 001; Niko Sünderhauf (CoRR, 2018)

Benchmarking Sampling-based Probabilistic Object Detectors. - Dimity Miller; Niko Sünderhauf; Haoyang Zhang; David Hall 003; Feras Dayoub (CVPR Workshops, 2019)

What Can Robotics Research Learn from Computer Vision Research? - Peter Corke; Feras Dayoub; David Hall 003; John Skinner; Niko Sünderhauf (ISRR, 2019)

The Probabilistic Object Detection Challenge. - John Skinner; David Hall 003; Haoyang Zhang; Feras Dayoub; Niko Sünderhauf (CoRR, 2019)

A probabilistic challenge for object detection. - Niko Sünderhauf; Feras Dayoub; David Hall 003; John Skinner; Haoyang Zhang; Gustavo Carneiro 001; Peter Corke (Nat. Mach. Intell., 2019)

Probabilistic Object Detection: Definition and Evaluation. - David Hall 003; Feras Dayoub; John Skinner; Haoyang Zhang; Dimity Miller; Peter Corke; Gustavo Carneiro 001; Anelia Angelova; Niko Sünderhauf (WACV, 2020)

BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots. - Ben Talbot; David Hall 003; Haoyang Zhang; Suman Raj Bista; Rohan Smith; Feras Dayoub; Niko Sünderhauf (CoRR, 2020)

The Robotic Vision Scene Understanding Challenge. - David Hall 003; Ben Talbot; Suman Raj Bista; Haoyang Zhang; Rohan Smith; Feras Dayoub; Niko Sünderhauf (CoRR, 2020)

Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM. - Suman Raj Bista; David Hall 003; Ben Talbot; Haoyang Zhang; Feras Dayoub; Niko Sünderhauf (IROS, 2021)

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 001; Anthony G. Francis; et al. (CoRR, 2022)

BenchBot environments for active robotics (BEAR): Simulated data for active scene understanding research. - David Hall 003; Ben Talbot; Suman Raj Bista; Haoyang Zhang; Rohan Smith; Feras Dayoub; Niko Sünderhauf (Int. J. Robotics Res., 2022)

Reg-NF: Efficient Registration of Implicit Surfaces within Neural Fields. - Stephen Hausler; David Hall 003; Sutharsan Mahendren; Peyman Moghadam (ICRA, 2024)

Object Registration in Neural Fields. - David Hall 003; Stephen Hausler; Sutharsan Mahendren; Peyman Moghadam (CoRR, 2024)