86 citations · 191 across the 11 of their papers we have counts for
11 papers
Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification
Xinyu Lin, Jinxing Li, Zeyu Ma +5
Thanks for the cross-modal retrieval techniques, visible-infrared (RGB-IR) person re-identification (Re-ID) is achieved by projecting them into a common space, allowing person Re-I…
Global-Local Stepwise Generative Network for Ultra High-Resolution Image Restoration
Xin Feng, Haobo Ji, Wenjie Pei +2
While the research on image background restoration from regular size of degraded images has achieved remarkable progress, restoring ultra high-resolution (e.g., 4K) images remains…
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…