28 citations · 28 across the 2 of their papers we have counts for
4 papers
Generating Image Sequence from Description with LSTM Conditional GAN
Xu Ouyang, Xi Zhang, Di Ma +1
Generating images from word descriptions is a challenging task. Generative adversarial networks(GANs) are shown to be able to generate realistic images of real-life objects. In thi…
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask
Xi Zhang, Di Ma, Xu Ouyang +3
Using a layered representation for motion estimation has the advantage of being able to cope with discontinuities and occlusions. In this paper, we learn to estimate optical flow b…
Lecture video indexing using boosted margin maximizing neural networks
Di Ma, Xi Zhang, Xu Ouyang +1
This paper presents a novel approach for lecture video indexing using a boosted deep convolutional neural network system. The indexing is performed by matching high quality slide i…
Learning Classifiers from Synthetic Data Using a Multichannel Autoencoder
Xi Zhang, Yanwei Fu, Andi Zang +2
We propose a method for using synthetic data to help learning classifiers. Synthetic data, even is generated based on real data, normally results in a shift from the distribution o…