David Hall

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 18

Top Topics

Fine Grained Categorization

Scene Understanding

Completely Unsupervised

Top Venues

Publications

David Hall, Ben Talbot, Suman Raj Bista, Haoyang Zhang, Rohan Smith, Feras Dayoub, Niko Sünderhauf
BenchBot environments for active robotics (BEAR): Simulated data for active scene understanding research. Int. J. Robotics Res. 41 (3) (2022)
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
Retrospectives on the Embodied AI Workshop. CoRR (2022)
Suman Raj Bista, David Hall, Ben Talbot, Haoyang Zhang, Feras Dayoub, Niko Sünderhauf
Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM. IROS (2021)
Suman Raj Bista, David Hall, Ben Talbot, Haoyang Zhang, Feras Dayoub, Niko Sünderhauf
Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM. CoRR (2021)
David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Sünderhauf
Probabilistic Object Detection: Definition and Evaluation. WACV (2020)
Peter Corke, Feras Dayoub, David Hall, John Skinner, Niko Sünderhauf
What can robotics research learn from computer vision research? CoRR (2020)
David Hall, Ben Talbot, Suman Raj Bista, Haoyang Zhang, Rohan Smith, Feras Dayoub, Niko Sünderhauf
The Robotic Vision Scene Understanding Challenge. CoRR (2020)
Ben Talbot, David Hall, Haoyang Zhang, Suman Raj Bista, Rohan Smith, Feras Dayoub, Niko Sünderhauf
BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots. CoRR (2020)
John Skinner, David Hall, Haoyang Zhang, Feras Dayoub, Niko Sünderhauf
The Probabilistic Object Detection Challenge. CoRR (2019)
Dimity Miller, Niko Sünderhauf, Haoyang Zhang, David Hall, Feras Dayoub
Benchmarking Sampling-based Probabilistic Object Detectors. CVPR Workshops (2019)
Peter Corke, Feras Dayoub, David Hall, John Skinner, Niko Sünderhauf
What Can Robotics Research Learn from Computer Vision Research? ISRR (2019)
Niko Sünderhauf, Feras Dayoub, David Hall, John Skinner, Haoyang Zhang, Gustavo Carneiro, Peter Corke
A probabilistic challenge for object detection. Nat. Mach. Intell. 1 (9) (2019)
David Hall, Feras Dayoub, John Skinner, Peter Corke, Gustavo Carneiro, Niko Sünderhauf
Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation. CoRR (2018)
David Hall, Feras Dayoub, Tristan Perez, Chris McCool
A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management. CoRR (2018)
David Hall, Feras Dayoub, Tristan Perez, Chris McCool
A rapidly deployable classification system using visual data for the application of precision weed management. Comput. Electron. Agric. 148 (2018)
David Hall, Feras Dayoub, Jason Kulk, Chris McCool
Towards Unsupervised Weed Scouting for Agricultural Robotics. CoRR (2017)
David Hall, Feras Dayoub, Jason Kulk, Chris McCool
Towards unsupervised weed scouting for agricultural robotics. ICRA (2017)
David Hall, Feras Dayoub, Tristan Perez, Chris McCool
A transplantable system for weed classification by agricultural robotics. IROS (2017)
David Hall, Chris McCool, Feras Dayoub, Niko Sünderhauf, Ben Upcroft
Evaluation of Features for Leaf Classification in Challenging Conditions. WACV (2015)