Miles R. Silman — accepted AI-conference papers

2026

AwakeForest: An Interactive Geospatial Platform for Large-Scale Forest Imagery

Suraj Prasai, Kangning Cui, Rongkun Zhu, Sarra Alqahtani, Ying Zhang, Victor Paúl Pauca +2

IJCAI 2026

Forest imagery analysis often involves multiple tightly coupled vision tasks, which must be performed under substantial variation in geographic regions, sensors, and acquisition conditions. However, practitioners often lack a unified tool that is geospatial-native, cloud-optimized, and ML-integrated

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2025

Detection and Geographic Localization of Natural Objects in the Wild: A Case Study on Palms

Kangning Cui, Rongkun Zhu, Manqi Wang, Wei Tang, Gregory D. Larsen, Victor P. Pauca +6

IJCAI 2025

Palms are ecologically and economically indicators of tropical forest health, biodiversity, and human impact that support local economies and global forest product supply chains. While palm detection in plantations is well-studied, efforts to map naturally occurring palms in dense forests remain lim

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