Kirill Brodt — accepted AI-conference papers

2024

From 2D to 3D: AISG-SLA Visual Localization Challenge

Jialin Gao, Bill Ong, Darld Lwi, Zhen Hao Ng, Xun Wei Yee, Mun-Thye Mak +10

IJCAI 2024poster

Research in 3D mapping is crucial for smart city applications, yet the cost of acquiring 3D data often hinders progress. Visual localization, particularly monocular camera position estimation, offers a solution by determining the camera's pose solely through visual cues. However, this task is challe…

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2023

BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series

Andrea Nascetti, RITU YADAV, Kirill Brodt, Qixun Qu, Hongwei Fan, Yuri Shendryk +2

NeurIPS 2023poster

Above Ground Biomass is an important variable as forests play a crucial role in mitigating climate change as they act as an efficient, natural and cost-effective carbon sink. Traditional field and airborne LiDAR measurements have been proven to provide reliable estimations of forest biomass. Neverth…

Cited by 11 Source ↗PDF ↗code ↗Scholar ↗