no code implementations • 8 Aug 2023 • HUI ZHANG, Lingxiao Wan, Sergi Ramos-Calderer, Yuancheng Zhan, Wai-Keong Mok, Hong Cai, Feng Gao, Xianshu Luo, Guo-Qiang Lo, Leong Chuan Kwek, José Ignacio Latorre, Ai Qun Liu
In the modern financial industry system, the structure of products has become more and more complex, and the bottleneck constraint of classical computing power has already restricted the development of the financial industry.
no code implementations • 3 Mar 2022 • HUI ZHANG, Jonathan Wei Zhong Lau, Lingxiao Wan, Liang Shi, Hong Cai, Xianshu Luo, Patrick Lo, Chee-Kong Lee, Leong-Chuan Kwek, Ai Qun Liu
Machine learning methods have revolutionized the discovery process of new molecules and materials.
1 code implementation • CVPR 2019 • Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, Gang Wang
In this way, the proposed network aggregates the context information of a pixel from its semantic-correlated region instead of a predefined fixed region.
Ranked #13 on Semantic Segmentation on COCO-Stuff test
1 code implementation • ICCV 2019 • Henghui Ding, Xudong Jiang, Ai Qun Liu, Nadia Magnenat Thalmann, Gang Wang
Furthermore, we propose a boundary-aware feature propagation (BFP) module to harvest and propagate the local features within their regions isolated by the learned boundaries in the UAG-structured image.
Ranked #38 on Semantic Segmentation on PASCAL Context
1 code implementation • CVPR 2018 • Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, Gang Wang
In this paper, we first propose a novel context contrasted local feature that not only leverages the informative context but also spotlights the local information in contrast to the context.
Ranked #16 on Semantic Segmentation on COCO-Stuff test