12 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 12 cited
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation
Jingyu Zhao, Yanwen Fang, Guodong Li
This paper introduces a concept of layer aggregation to describe how information from previous layers can be reused to better extract features at the current layer. While DenseNet…
eess.IV2021★ 1 cited
Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation
Wenming Cao, Philip L. H. Yu, Gilbert C. S. Lui +5
In this work, we propose a new segmentation network by integrating DenseUNet and bidirectional LSTM together with attention mechanism, termed as DA-BDense-UNet. DenseUNet allows le…
cs.CE2021★ 2 cited
CNN-based Realized Covariance Matrix Forecasting
Yanwen Fang, Philip L. H. Yu, Yaohua Tang
It is well known that modeling and forecasting realized covariance matrices of asset returns play a crucial role in the field of finance. The availability of high frequency intrada…