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20162025
most citedFrom Google Maps to a Fine-Grained Catalog of Street trees

159 citations · 197 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV202219 cited

Retrospectives on the Embodied AI Workshop

Matt Deitke, Dhruv Batra, Yonatan Bisk +36

We present a retrospective on the state of Embodied AI research. Our analysis focuses on 13 challenges presented at the Embodied AI Workshop at CVPR. These challenges are grouped i…

cs.CV2019159 cited

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

Steve Branson, Jan Dirk Wegner, David Hall +3

Up-to-date catalogs of the urban tree population are important for municipalities to monitor and improve quality of life in cities. Despite much research on automation of tree mapp…

cs.CV2018

Probabilistic Object Detection: Definition and Evaluation

David Hall, Feras Dayoub, John Skinner +6

We introduce Probabilistic Object Detection, the task of detecting objects in images and accurately quantifying the spatial and semantic uncertainties of the detections. Given the…

cs.CV20172 cited

Towards Unsupervised Weed Scouting for Agricultural Robotics

David Hall, Feras Dayoub, Jason Kulk +1

Weed scouting is an important part of modern integrated weed management but can be time consuming and sparse when performed manually. Automated weed scouting and weed destruction h…

cs.CV2016

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

David Hall, Pietro Perona

A video dataset that is designed to study fine-grained categorisation of pedestrians is introduced. Pedestrians were recorded "in-the-wild" from a moving vehicle. Annotations inclu…