Four-Stream Network and Nonsignificant Feature Learning for Visible–Infrared Person Re-Identification

Y Liang, H Han, L Huang, C Wang - International Journal of Pattern …, 2022 - World Scientific
Visible–infrared person re-identification (VI-ReID) is a current focused area in the field of re-
identification. In order to reduce the gap between two modalities in VI-ReID and improve …

Unleashing the Potential of Tracklets for Unsupervised Video Person Re-Identification

N Meng, Q Wang, B Li, X Xue - arxiv preprint arxiv:2406.14261, 2024 - arxiv.org
With rich temporal-spatial information, video-based person re-identification methods have
shown broad prospects. Although tracklets can be easily obtained with ready-made tracking …

A Knowledge Enforcement Network-Based Approach for Classifying a Photographer's Images

P Shivakumara, PN Chowdhury, U Pal… - … Journal of Pattern …, 2022 - World Scientific
Classification of photos captured by different photographers is an important and challenging
problem in knowledge-based and image processing. Monitoring and authenticating images …

[CITATION][C] A Convolutional Neural Network Based on Soft Attention Mechanism and Multi-Scale Fusion for Skin Cancer Classification

Q Bao, H Han, L Huang… - International Journal of …, 2023 - World Scientific
The seven most common skin diseases are melanocytic nevus, melanoma, benign
keratosis, basal cell carcinoma, actinic keratosis, vascular lesions, and dermatofibroma …

[CITATION][C] Few-shot person re-identification based on meta-learning with a compression and stimulation module

J Cao, H Han, L Huang - … Journal of Pattern Recognition and Artificial …, 2023 - World Scientific
This paper proposes a few-shot pedestrian re-identification (Re-ID) model based on an
improved ResNet50 with a compression and stimulation module, which is named CS …