DPF-Nutrition: Food Nutrition Estimation via Depth Prediction and Fusion

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.

Depth Estimation Depth Prediction +1

A bi-diffusion based layer-wise sampling method for deep learning in large graphs

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.

Graph Representation Learning

EENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored Search

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.

Retrieval