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Hongda Liu

2 accepted papers

2025

Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition

CVPR 2025highlight

In skeleton-based action recognition, a key challenge is distinguishing between actions with similar trajectories of joints due to the lack of image-level details in skeletal representations. Recognizing that the differentiation of similar actions relies on subtle motion details in specific body par…

2025

SaMam: Style-aware State Space Model for Arbitrary Image Style Transfer

CVPR 2025highlight

Global effective receptive field plays a crucial role for image style transfer (ST) to obtain high-quality stylized results. However, existing ST backbones (e.g., CNNs and Transformers) suffer huge computational complexity to achieve global receptive fields. Recently, the State Space Model (SSM), es…