3 citations · 5 across the 4 of their papers we have counts for
4 papers
Weakly-supervised ROI extraction method based on contrastive learning for remote sensing images
Lingfeng He, Mengze Xu, Jie Ma
ROI extraction is an active but challenging task in remote sensing because of the complicated landform, the complex boundaries and the requirement of annotations. Weakly supervised…
Unsupervised Visible-Infrared Person ReID by Collaborative Learning with Neighbor-Guided Label Refinement
De Cheng, Xiaojian Huang, Nannan Wang +3
Unsupervised learning visible-infrared person re-identification (USL-VI-ReID) aims at learning modality-invariant features from unlabeled cross-modality dataset, which is crucial f…
Efficient Bilateral Cross-Modality Cluster Matching for Unsupervised Visible-Infrared Person ReID
De Cheng, Lingfeng He, Nannan Wang +3
Unsupervised visible-infrared person re-identification (USL-VI-ReID) aims to match pedestrian images of the same identity from different modalities without annotations. Existing wo…
Training artificial neural networks for precision orientation and strain mapping using 4D electron diffraction datasets
Renliang Yuan, Jiong Zhang, Lingfeng He +1
Techniques for training artificial neural networks (ANNs) and convolutional neural networks (CNNs) using simulated dynamical electron diffraction patterns are described. The premis…