43 citations · 57 across the 6 of their papers we have counts for
6 papers
Stepwise-Refining Speech Separation Network via Fine-Grained Encoding in High-order Latent Domain
Zengwei Yao, Wenjie Pei, Fanglin Chen +2
The crux of single-channel speech separation is how to encode the mixture of signals into such a latent embedding space that the signals from different speakers can be precisely se…
Generative Memory-Guided Semantic Reasoning Model for Image Inpainting
Xin Feng, Wenjie Pei, Fengjun Li +3
Most existing methods for image inpainting focus on learning the intra-image priors from the known regions of the current input image to infer the content of the corrupted regions…
DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentation
Ailiang Lin, Bingzhi Chen, Jiayu Xu +2
Automatic medical image segmentation has made great progress benefit from the development of deep learning. However, most existing methods are based on convolutional neural network…
Dual-Stream Reciprocal Disentanglement Learning for Domain Adaptation Person Re-Identification
Huafeng Li, Kaixiong Xu, Jinxing Li +4
Since human-labeled samples are free for the target set, unsupervised person re-identification (Re-ID) has attracted much attention in recent years, by additionally exploiting the…
Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation
Lei Zhang, Shanshan Wang, Guang-Bin Huang +3
In many practical transfer learning scenarios, the feature distribution is different across the source and target domains (i.e. non-i.i.d.). Maximum mean discrepancy (MMD), as a do…
Dual Asymmetric Deep Hashing Learning
Jinxing Li, Bob Zhang, Guangming Lu +1
Due to the impressive learning power, deep learning has achieved a remarkable performance in supervised hash function learning. In this paper, we propose a novel asymmetric supervi…