# ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/vitaa-visual-textual-attributes-alignment-in-person-search-by-natural-language/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zhe Wang,Zhiyuan Fang,Jun Wang,Yezhou Yang |
| Citations | 218 |
| DOI | 10.1007/978-3-030-58610-2_24 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3095440956 |
| Type | conference-paper |
| Year | 2020 |

## Paper authors

- [Jun Wang](https://scholariq.org/researchers/jun-wang-2/)

## Paper journal

- [Lecture notes in computer science](https://scholariq.org/journals/lecture-notes-in-computer-science/)

## Paper primary topic

- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)

## Paper topics

- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.