# Unified Quality Assessment of in-the-Wild Videos with Mixed Datasets Training

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/unified-quality-assessment-of-in-the-wild-videos-with-mixed-datasets-training/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dingquan Li,Tingting Jiang,Ming Jiang |
| Citations | 137 |
| DOI | 10.1007/s11263-020-01408-w |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2011.04263 |
| OpenAlex ID | https://openalex.org/W3105164497 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Tingting Jiang](https://scholariq.org/researchers/tingting-jiang/)

## Paper primary topic

- [Image and Video Quality Assessment](https://scholariq.org/topics/image-and-video-quality-assessment/)

## Paper topics

- [Image and Video Quality Assessment](https://scholariq.org/topics/image-and-video-quality-assessment/)
- [Advanced Image Processing Techniques](https://scholariq.org/topics/advanced-image-processing-techniques/)
- [Image Enhancement Techniques](https://scholariq.org/topics/image-enhancement-techniques/)

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