The proposed EMOBGL model effectively integrates multiorder and multiview relationships within a unified framework, achieving robust and discriminative clustering performance and extensive comparative experiments demonstrate that the proposed EMOBGL consistently outperforms 13 state-of-the-art methods in both clusterin...
Yangjun Deng, Wenhao Deng, Longfei Ren et al.· IEEE Transactions on Neural...· 0 citations
MoDeVLA is proposed, the first rate-distortion driven efficient VLA model that performs token-wise depth allocation via Mixture-of-Depth Conditioning and integrates shallow visual-spatial with deep textual-logical features for action conditioning and introduces Effective-Edge Flow, an action-aligned attribution measure...
Wei-Ying Xie, Qingcheng Zeng, Zihan Meng et al.· Proceedings of the 32nd ACM...· 0 citations
Vision-Language-Action (VLA) model plays a crucial role in embodied decision making. While practical deployment requires fast inference under limited onboard computation, a full forward pass through the vision-language model makes such deployment challenging. To address this issue, existing methods typically employ lig...
Weiying Xie, Qingcheng Zeng, Zihan Meng et al.· Proceedings of the 32nd ACM...· 0 citations
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