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A simulation environment for drone cinematography

Oct 03, 2020
Fan Zhang, David Hall, Tao Xu, Stephen Boyle, David Bull

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Task-Oriented Dialogue as Dataflow Synthesis

Oct 02, 2020
Semantic Machines, Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov

* TACL 2020 

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The Robotic Vision Scene Understanding Challenge

Sep 11, 2020
David Hall, Ben Talbot, Suman Raj Bista, Haoyang Zhang, Rohan Smith, Feras Dayoub, Niko Sünderhauf

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

Aug 03, 2020
Ben Talbot, David Hall, Haoyang Zhang, Suman Raj Bista, Rohan Smith, Feras Dayoub, Niko Sünderhauf

* Future submission to RAL; software available at 

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Tropical and Extratropical Cyclone Detection Using Deep Learning

May 18, 2020
Christina Kumler-Bonfanti, Jebb Stewart, David Hall, Mark Govett

* 23 pages, 7 figures, 3 tables 

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What can robotics research learn from computer vision research?

Jan 08, 2020
Peter Corke, Feras Dayoub, David Hall, John Skinner, Niko Sünderhauf

* 15 pages, to appear in the proceeding of the International Symposium on Robotics Research (ISRR) 2019 

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

Oct 07, 2019
Steve Branson, Jan Dirk Wegner, David Hall, Nico Lang, Konrad Schindler, Pietro Perona

* ISPRS Journal of Photogrammetry and Remote Sensing, Volume 135, January 2018, Pages 13-30 

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The Probabilistic Object Detection Challenge

Apr 08, 2019
John Skinner, David Hall, Haoyang Zhang, Feras Dayoub, Niko Sünderhauf

* 4 pages, workshop paper 

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

Dec 04, 2018
David Hall, Feras Dayoub, John Skinner, Peter Corke, Gustavo Carneiro, Niko Sünderhauf

* 14 pages, 20 figures 

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

Apr 26, 2018
David Hall, Feras Dayoub, Tristan Perez, Chris McCool

* D. Hall, F. Dayoub, T. Perez, and C. McCool, "A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management," Computers and Electronics in Agriculture, Vol. 148, pp. 107-120, May 2018 
* 36 pages, 14 figures, published Computers and Electronics in Agriculture Vol. 148 

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Towards Unsupervised Weed Scouting for Agricultural Robotics

Feb 25, 2017
David Hall, Feras Dayoub, Jason Kulk, Chris McCool

* to appear in the proceedings of the IEEE International Conference on Robotics and Automation ICRA2017 

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

May 20, 2016
David Hall, Pietro Perona

* CVPR 2015 

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