116 citations · 664 across the 35 of their papers we have counts for
35 papers
TransY-Net:Learning Fully Transformer Networks for Change Detection of Remote Sensing Images
Tianyu Yan, Zifu Wan, Pingping Zhang +2
In the remote sensing field, Change Detection (CD) aims to identify and localize the changed regions from dual-phase images over the same places. Recently, it has achieved great pr…
Recurrent Multi-scale Transformer for High-Resolution Salient Object Detection
Xinhao Deng, Pingping Zhang, Wei Liu +1
Salient Object Detection (SOD) aims to identify and segment the most conspicuous objects in an image or video. As an important pre-processing step, it has many potential applicatio…
Video-based Person Re-identification with Long Short-Term Representation Learning
Xuehu Liu, Pingping Zhang, Huchuan Lu
Video-based person Re-Identification (V-ReID) aims to retrieve specific persons from raw videos captured by non-overlapped cameras. As a fundamental task, it spreads many multimedi…
Deeply-Coupled Convolution-Transformer with Spatial-temporal Complementary Learning for Video-based Person Re-identification
Xuehu Liu, Chenyang Yu, Pingping Zhang +1
Advanced deep Convolutional Neural Networks (CNNs) have shown great success in video-based person Re-Identification (Re-ID). However, they usually focus on the most obvious regions…
Learning Progressive Modality-shared Transformers for Effective Visible-Infrared Person Re-identification
Hu Lu, Xuezhang Zou, Pingping Zhang
Visible-Infrared Person Re-Identification (VI-ReID) is a challenging retrieval task under complex modality changes. Existing methods usually focus on extracting discriminative visu…
Fully Transformer Network for Change Detection of Remote Sensing Images
Tianyu Yan, Zifu Wan, Pingping Zhang
Recently, change detection (CD) of remote sensing images have achieved great progress with the advances of deep learning. However, current methods generally deliver incomplete CD r…