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Rongkun Zhu

3 accepted papers

2026

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

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

Cited by 0Scholar
2026

U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding

ICLR 2026poster

Ultrasound is a widely-used imaging modality critical to global healthcare, yet its interpretation remains challenging due to its varying image quality on operators, noises, and anatomical structures. Although large vision-language models (LVLMs) have demonstrated impressive multimodal capabilities…

Cited by 0SourceScholar
2025

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

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