277 citations · 316 across the 12 of their papers we have counts for
12 papers
A natural NISQ model of quantum self-attention mechanism
Shangshang Shi, Zhimin Wang, Jiaxin Li +5
The self-attention mechanism (SAM) has demonstrated remarkable success in various applications. However, training SAM on classical computers becomes computationally challenging as…
Quantum Recurrent Neural Networks for Sequential Learning
Yanan Li, Zhimin Wang, Rongbing Han +6
Quantum neural network (QNN) is one of the promising directions where the near-term noisy intermediate-scale quantum (NISQ) devices could find advantageous applications against cla…
SinTra: Learning an inspiration model from a single multi-track music segment
Qingwei Song, Qiwei Sun, Dongsheng Guo +1
In this paper, we propose SinTra, an auto-regressive sequential generative model that can learn from a single multi-track music segment, to generate coherent, aesthetic, and variab…
SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perception
Qi Qi, Kunqian Li, Haiyong Zheng +3
Due to the wavelength-dependent light attenuation, refraction and scattering, underwater images usually suffer from color distortion and blurred details. However, due to the limite…
EncryptGAN: Image Steganography with Domain Transform
Ziqiang Zheng, Hongzhi Liu, Zhibin Yu +4
We propose an image steganographic algorithm called EncryptGAN, which disguises private image communication in an open communication channel. The insight is that content transform…
ReshapeGAN: Object Reshaping by Providing A Single Reference Image
Ziqiang Zheng, Yang Wu, Zhibin Yu +3
The aim of this work is learning to reshape the object in an input image to an arbitrary new shape, by just simply providing a single reference image with an object instance in the…
One-Shot Image-to-Image Translation via Part-Global Learning with a Multi-adversarial Framework
Ziqiang Zheng, Zhibin Yu, Haiyong Zheng +2
It is well known that humans can learn and recognize objects effectively from several limited image samples. However, learning from just a few images is still a tremendous challeng…
Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation
Ziqiang Zheng, Zhibin Yu, Haiyong Zheng +3
Current approaches have made great progress on image-to-image translation tasks benefiting from the success of image synthesis methods especially generative adversarial networks (G…
Instance Map based Image Synthesis with a Denoising Generative Adversarial Network
Ziqiang Zheng, Chao Wang, Zhibin Yu +2
Semantic layouts based Image synthesizing, which has benefited from the success of Generative Adversarial Network (GAN), has drawn much attention in these days. How to enhance the…
Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes
Ziqiang Zheng, Zhibin Yu, Haiyong Zheng +2
Generative Adversarial Networks are proved to be efficient on various kinds of image generation tasks. However, it is still a challenge if we want to generate images precisely. Man…
Unpaired Photo-to-Caricature Translation on Faces in the Wild
Ziqiang Zheng, Wang Chao, Zhibin Yu +3
Recently, image-to-image translation has been made much progress owing to the success of conditional Generative Adversarial Networks (cGANs). And some unpaired methods based on cyc…
Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation
Chao Wang, Haiyong Zheng, Zhibin Yu +3
Image-to-image translation has been made much progress with embracing Generative Adversarial Networks (GANs). However, it's still very challenging for translation tasks that requir…