Publications

  1. Wolski, K., Giunchi, D. and Ye, N. et al. 2018. Dataset and Metrics for Predicting Local Visible Differences. ACM Transactions on Graphics 37, 5, 1-14.
    DOI: 10.1145/3196493
    Open Access
    Project Page
  2. Ye, N., Wolski, K. and Mantiuk, R. 2019. Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5434-5442.
    Open Access
    Project Page
Updated by Jingyu Liu on 10 July 2019
Updated by Jingyu Liu on 10 July 2019

ITN RealVision

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 765911.

Key Roles
ITN RealVision Coordinator: Søren Forchhammer, DTU
Training Coordinator: Patrick Le Callet, UN
ScientificCoordinator: Søren Forchhammer, DTU
Industrial Coordinator: DxO
Recruitment and Equal Opportunities Coordinator: DTU
Communication Coordinator: Rafal Mantiuk, UCAM
Project Administrator: Mie Reippuert, DTU

Information
Project Number:765911
Call: H2020-MSCA-ITN-2017
Type of action: MSCA-ITN-ETN
Start Date: 01/01/18
End Date: 31/12/21
Maximum EU Funding: € 4,076,702.28

 

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23 AUGUST 2019