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20212024
most citedDeeply-Coupled Convolution-Transformer with Spatial-temporal Complementary Learning for Video-based Person Re-identification

3 citations · 5 across the 6 of their papers we have counts for

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cs.CV2024

Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification

Pingping Zhang, Yuhao Wang, Yang Liu +2

Single-modal object re-identification (ReID) faces great challenges in maintaining robustness within complex visual scenarios. In contrast, multi-modal object ReID utilizes complem…

cs.CV2023

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…

cs.CV20232 cited

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…

cs.CV2023

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…

cs.CV20233 cited

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…

cs.CV2021

Mind Your Clever Neighbours: Unsupervised Person Re-identification via Adaptive Clustering Relationship Modeling

Lianjie Jia, Chenyang Yu, Xiehao Ye +3

Unsupervised person re-identification (Re-ID) attracts increasing attention due to its potential to resolve the scalability problem of supervised Re-ID models. Most existing unsupe…