Author

Cong Bai

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Book Open access Aug 2026

OpenAqua: A Large-Scale Fine-Grained Dataset and Benchmark for Open Underwater Visual Perception

Monitoring aquatic biodiversity is vital for maintaining global ecological balance. While advancements in computer vision have revolutionized underwater perception, existing datasets are predominantly limited to coarse-grained categories or lack spatial localization annotations, severely constraining the applicability...

Linxuan Luo, Pan Mu, Cong Bai · Proceedings of the 32nd ACM... · 0 citations

Preprint Aug 2026

Tianmu-TC: Physics-constraints Generative Artificial Intelligence for Global Tropical Cyclone Forecasting

Experiments show Tianmu-TC outperforms deterministic and ensemble meteorological artificial intelligence models and authoritative NWP systems in global ocean basins, with significantly lower computational cost, and suggest physics-constraints generative AI offers a promising approach for reliable, efficient global TC f...

Shiqi Zhang, Pan Mu, Cheng Huang et al. · 0 citations

Book Open access Aug 2026

OpenAqua: A Large-Scale Fine-Grained Dataset and Benchmark for Open Underwater Visual Perception

This work introduces OpenAqua, the first large-scale fine-grained dataset dedicated to open underwater visual tasks, and establishes a comprehensive benchmark suite that encompasses not only standard object detection and instance segmentation tasks but also pioneers an underwater open-vocabulary object detection benchm...

Linxuan Luo, Pan Mu, Cong Bai · Proceedings of the 32nd ACM... · 0 citations