Search Results for author: Jacqueline C. K. Lam

Found 2 papers, 1 papers with code

Deep-AIR: A Hybrid CNN-LSTM Framework for Air Quality Modeling in Metropolitan Cities

no code implementations25 Mar 2021 Yang Han, Qi Zhang, Victor O. K. Li, Jacqueline C. K. Lam

Our proposed framework creates 1x1 convolution layers to strengthen the learning of cross-feature spatial interaction between air pollution and important urban dynamic features, particularly road density, building density/height, and street canyon effect.

Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution

1 code implementation20 Apr 2020 Yingruo Fan, Jacqueline C. K. Lam, Victor O. K. Li

The intensity estimation of facial action units (AUs) is challenging due to subtle changes in the person's facial appearance.

Semantic correspondence

Cannot find the paper you are looking for? You can Submit a new open access paper.