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20242026
most citedUtilizing Earth Foundation Models to Enhance the Simulation Performance of Hydrological Models with AlphaEarth Embeddings

1 citations · 2 across the 11 of their papers we have counts for

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cs.MM2026

SAMOT: State-Aware Step Modulation and Optimal Transport Matching for Audio-Visual Instance Segmentation

Kai Peng, Yunzhe Shen, Miao Zhang +5

Audio-Visual Instance Segmentation (AVIS) aims to simultaneously classify, segment, and track sounding objects within video sequences. Unlike Audio-Visual Semantic Segmentation (AV…

cs.MM2026

Hear to See: Discerning Stateful Listening for Audio-Visual Instance Segmentation

Leiye Liu, Miao Zhang, Jiahong Jiang +7

Audio-visual instance segmentation (AVIS) requires accurately identifying and tracking individual sounding objects with pixel-level masks. Existing methods struggle to match overla…

cs.LG2026

AdaSurvMamba: Dynamic Fusion and Semantic Scanning for Multimodal Survival Analysis

Jialong Zhong, Tingwei Liu, Baokun Yue +7

Multimodal survival analysis utilizing whole slide images (WSIs) and genomic profiles is fundamental for cancer prognosis. Recently, state-space models like Mamba have emerged as p…

cs.CV2026

Selective Noise Suppression and Discriminative Mutual Interaction for Robust Audio-Visual Segmentation

Kai Peng, Yunzhe Shen, Miao Zhang +6

The ability to capture and segment sounding objects in dynamic visual scenes is crucial for the development of Audio-Visual Segmentation (AVS) tasks. While significant progress has…

cs.LG2026★ 1 cited

Utilizing Earth Foundation Models to Enhance the Simulation Performance of Hydrological Models with AlphaEarth Embeddings

Pengfei Qu, Wenyu Ouyang, Chi Zhang +6

Predicting river flow in places without streamflow records is challenging because basins respond differently to climate, terrain, vegetation, and soils. Traditional basin attribute…