3 citations · 4 across the 2 of their papers we have counts for
3 papers
eess.IV2020★ 3 cited
End-to-end Optimized Video Compression with MV-Residual Prediction
XiangJi Wu, Ziwen Zhang, Jie Feng +2
We present an end-to-end trainable framework for P-frame compression in this paper. A joint motion vector (MV) and residual prediction network MV-Residual is designed to extract th…
cs.LG2019
MIDI-Sandwich2: RNN-based Hierarchical Multi-modal Fusion Generation VAE networks for multi-track symbolic music generation
Xia Liang, Junmin Wu, Jing Cao
Currently, almost all the multi-track music generation models use the Convolutional Neural Network (CNN) to build the generative model, while the Recurrent Neural Network (RNN) bas…
eess.AS2019★ 1 cited
MIDI-Sandwich: Multi-model Multi-task Hierarchical Conditional VAE-GAN networks for Symbolic Single-track Music Generation
Xia Liang, Junmin Wu, Yan Yin
Most existing neural network models for music generation explore how to generate music bars, then directly splice the music bars into a song. However, these methods do not explore…