86 citations · 191 across the 11 of their papers we have counts for
7 papers · 1 filter
Pedestrian Detection by Exemplar-Guided Contrastive Learning
Zebin Lin, Wenjie Pei, Fanglin Chen +2
Typical methods for pedestrian detection focus on either tackling mutual occlusions between crowded pedestrians, or dealing with the various scales of pedestrians. Detecting pedest…
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…
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation
Bingzhi Chen, Yishu Liu, Zheng Zhang +2
Accurate segmentation of organs or lesions from medical images is crucial for reliable diagnosis of diseases and organ morphometry. In recent years, convolutional encoder-decoder s…
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…