Search Results - "Yan, Shuanglin"

Attribute-Identity Embedding and Self-Supervised Learning for Scalable Person Re-Identification by Li, Huafeng, Yan, Shuanglin, Yu, Zhengtao, Tao, Dapeng

“…Due to the domain shift between source dataset and target dataset, most of the existing person re-identification (PRID) algorithms trained by a supervised…”
Get full text

CLIP-Driven Fine-Grained Text-Image Person Re-Identification by Yan, Shuanglin, Dong, Neng, Zhang, Liyan, Tang, Jinhui

“…Text-Image Person Re-identification (TIReID) aims to retrieve the image corresponding to the given text query from a pool of candidate images. Existing methods…”
Get full text

Image-Specific Information Suppression and Implicit Local Alignment for Text-Based Person Search by Yan, Shuanglin, Tang, Hao, Zhang, Liyan, Tang, Jinhui

“…Text-based person search (TBPS) is a challenging task that aims to search pedestrian images with the same identity from an image gallery given a query text. In…”
Get full text

Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification by Dong, Neng, Zhang, Liyan, Yan, Shuanglin, Tang, Hao, Tang, Jinhui

“…Occlusion perturbation presents a significant challenge in person re- identification (re-ID), and existing methods that rely on external visual cues require…”
Get full text

Cross-domain person re-identification with pose-invariant feature decomposition and hypergraph structure alignment by Yan, Shuanglin, Zhang, Yafei, Xie, Minghong, Zhang, Dacheng, Yu, Zhengtao

“…Person Re-identification (Re-ID) has attracted more and more attention thanks to its great practical value in the field of video surveillance. Most works have…”
Get full text

Multi-view Information Integration and Propagation for occluded person re-identification by Dong, Neng, Yan, Shuanglin, Tang, Hao, Tang, Jinhui, Zhang, Liyan

Get full text

Prototypical Prompting for Text-to-image Person Re-identification by Yan, Shuanglin, Liu, Jun, Dong, Neng, Zhang, Liyan, Tang, Jinhui

“…In this paper, we study the problem of Text-to-Image Person Re-identification (TIReID), which aims to find images of the same identity described by a text…”
Get full text

Multi-view Information Integration and Propagation for Occluded Person Re-identification by Dong, Neng, Yan, Shuanglin, Tang, Hao, Tang, Jinhui, Zhang, Liyan

“…Occluded person re-identification (re-ID) presents a challenging task due to occlusion perturbations. Although great efforts have been made to prevent the…”
Get full text

Learning Comprehensive Representations with Richer Self for Text-to-Image Person Re-Identification by Yan, Shuanglin, Dong, Neng, Liu, Jun, Zhang, Liyan, Tang, Jinhui

“…Text-to-image person re-identification (TIReID) retrieves pedestrian images of the same identity based on a query text. However, existing methods for TIReID…”
Get full text

Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification by Dong, Neng, Zhang, Liyan, Yan, Shuanglin, Tang, Hao, Tang, Jinhui

“…Occlusion perturbation presents a significant challenge in person re-identification (re-ID), and existing methods that rely on external visual cues require…”
Get full text

CLIP-Driven Fine-grained Text-Image Person Re-identification by Yan, Shuanglin, Dong, Neng, Zhang, Liyan, Tang, Jinhui

“…TIReID aims to retrieve the image corresponding to the given text query from a pool of candidate images. Existing methods employ prior knowledge from…”
Get full text

Image-Specific Information Suppression and Implicit Local Alignment for Text-based Person Search by Yan, Shuanglin, Tang, Hao, Zhang, Liyan, Tang, Jinhui

“…Text-based person search (TBPS) is a challenging task that aims to search pedestrian images with the same identity from an image gallery given a query text. In…”
Get full text

M$^3$Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition by Tang, Hao, Liu, Jun, Yan, Shuanglin, Yan, Rui, Li, Zechao, Tang, Jinhui

“…Due to the scarcity of manually annotated data required for fine-grained video understanding, few-shot fine-grained (FS-FG) action recognition has gained…”
Get full text