no code implementations • 18 Oct 2023 • Yuzhe Han, Qimin Cheng, Wenjin Wu, Ziyang Huang
Additionally, we designed an RGB-D fusion module that combined monocular images with the predicted depth information, resulting in better performance for nutrition estimation.
no code implementations • 25 Sep 2019 • Yu He, Shiyang Wen, Wenjin Wu, Yan Zhang, Siran Yang, Yuan Wei, Di Zhang, Guojie Song, Wei Lin, Liang Wang, Bo Zheng
The Graph Convolutional Network (GCN) and its variants are powerful models for graph representation learning and have recently achieved great success on many graph-based applications.
no code implementations • 4 Dec 2018 • Wenjin Wu, Guojun Liu, Hui Ye, Chenshuang Zhang, Tianshu Wu, Daorui Xiao, Wei. Lin, Xiaoyu Zhu
In the real traffic of a large-scale e-commerce sponsored search, the proposed approach significantly outperforms the baseline.