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20232026
most citedMultilingual Text-to-Image Person Retrieval via Bidirectional Relation Reasoning and Aligning

2 citations · 2 across the 6 of their papers we have counts for

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cs.CV2026

Generative Retrieval for Unsupervised Text-Based Person Search

Mang Ye, Yucheng Ji, Yang Bai +4

Text-based person search (TBPS) aims to retrieve images of a target person from a large image gallery based on a given natural language description. Most existing methods rely on s…

cs.CV20252 cited

Multilingual Text-to-Image Person Retrieval via Bidirectional Relation Reasoning and Aligning

Min Cao, Xinyu Zhou, Ding Jiang +3

Text-to-image person retrieval (TIPR) aims to identify the target person using textual descriptions, facing challenge in modality heterogeneity. Prior works have attempted to addre…

cs.CV2024

LAIP: Learning Local Alignment from Image-Phrase Modeling for Text-based Person Search

Haiguang Wang, Yu Wu, Mengxia Wu +2

Text-based person search aims at retrieving images of a particular person based on a given textual description. A common solution for this task is to directly match the entire imag…

cs.CV2024

Semi-supervised Text-based Person Search

Daming Gao, Yang Bai, Min Cao +3

Text-based person search (TBPS) aims to retrieve images of a specific person from a large image gallery based on a natural language description. Existing methods rely on massive an…

cs.CV2023

An Empirical Study of Frame Selection for Text-to-Video Retrieval

Mengxia Wu, Min Cao, Yang Bai +4

Text-to-video retrieval (TVR) aims to find the most relevant video in a large video gallery given a query text. The intricate and abundant context of the video challenges the perfo…

cs.CV2023

An Empirical Study of CLIP for Text-based Person Search

Min Cao, Yang Bai, Ziyin Zeng +2

Text-based Person Search (TBPS) aims to retrieve the person images using natural language descriptions. Recently, Contrastive Language Image Pretraining (CLIP), a universal large c…