Ruikun Zhang

2 accepted papers

2026

From Spots to Pixels: Dense Spatial Gene Expression Prediction from Histology Images

CVPR 2026

Spatial transcriptomics (ST) measures gene expression at fine-grained spatial resolution, offering insights into tissue molecular landscapes. Previous methods for spatial gene expression prediction typically crop spots of interest from histopathology slide images, and train models to map each spot t

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2024

Event-based Few-shot Fine-grained Human Action Recognition

Zonglin Yang, Yan Yang, Yuheng Shi, Hao Yang, Ruikun Zhang, Liu Liu +2

IROS 2024poster

Few-shot fine-grained human (FGH) action recognition is crucial in the context of human-robot interaction within open-set real-world environments. Existing works mainly focus on features extracted from RGB frames. However, their performances are drastically impacted in challenging scenarios, such as…

Cited by 1 Source ↗Scholar ↗