ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1912.07966
  4. Cited By
KonVid-150k: A Dataset for No-Reference Video Quality Assessment of
  Videos in-the-Wild

KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild

17 December 2019
Franz Götz-Hahn
Vlad Hosu
Hanhe Lin
Dietmar Saupe
ArXivPDFHTML

Papers citing "KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild"

6 / 6 papers shown
Title
ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment
ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment
Xinyi Wang
Angeliki V. Katsenou
David Bull
46
0
0
16 Jul 2024
Telepresence Video Quality Assessment
Telepresence Video Quality Assessment
Zhenqiang Ying
Deepti Ghadiyaram
A. Bovik
22
5
0
20 Jul 2022
ChipQA: No-Reference Video Quality Prediction via Space-Time Chips
ChipQA: No-Reference Video Quality Prediction via Space-Time Chips
Joshua Peter Ebenezer
Zaixi Shang
Yongjun Wu
Hai Wei
S. Sethuraman
A. Bovik
66
41
0
17 Sep 2021
Patch-VQ: 'Patching Up' the Video Quality Problem
Patch-VQ: 'Patching Up' the Video Quality Problem
Zhenqiang Ying
Maniratnam Mandal
Deepti Ghadiyaram
AI Facebook
16
164
0
27 Nov 2020
Critical analysis on the reproducibility of visual quality assessment
  using deep features
Critical analysis on the reproducibility of visual quality assessment using deep features
Franz Götz-Hahn
Vlad Hosu
Dietmar Saupe
40
9
0
10 Sep 2020
Comment on "No-Reference Video Quality Assessment Based on the Temporal
  Pooling of Deep Features"
Comment on "No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features"
Franz Götz-Hahn
Vlad Hosu
Dietmar Saupe
22
6
0
09 May 2020
1