COOP: Decoupling and Coupling of Whole-Body Grasping Pose Generation

1 code implementation • ICCV 2023 • Yanzhao Zheng, Yunzhou Shi, Yuhao Cui, Zhongzhou Zhao, Zhiling Luo, Wei Zhou

To address this issue, we propose a novel framework called COOP (DeCOupling and COupling of Whole-Body GrasPing Pose Generation) to synthesize life-like whole-body poses that cover the widest range of human grasping capabilities.

Digital Human Interactive Recommendation Decision-Making Based on Reinforcement Learning

no code implementations • 6 Oct 2022 • Xiong Junwu, Xiaoyun Feng, Yunzhou Shi, James Zhang, Zhongzhou Zhao, Wei Zhou

Our proposed framework learns through real-time interactions between the digital human and customers dynamically through the state-of-art RL algorithms, combined with multimodal embedding and graph embedding, to improve the accuracy of personalization and thus enable the digital human agent to timely catch the attention of the customer.

Decision Making Graph Embedding +2

AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce

no code implementations • 13 Sep 2021 • Guohai Xu, Hehong Chen, Feng-Lin Li, Fu Sun, Yunzhou Shi, Zhixiong Zeng, Wei Zhou, Zhongzhou Zhao, Ji Zhang

Live streaming is becoming an increasingly popular trend of sales in E-commerce.

Multi-modal Knowledge Graph Question Answering