Armeni, I., Sener, O., Zamir, A.R., Jiang, H., Brilakis, I., Fischer, M. and Savarese, S. (2016) 3D Semantic Parsing of Large-Scale Indoor Spaces. 2016 IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, 27-30 June 2016, 1534-1543.
https://doi.org/10.1109/CVPR.2016.170

has been cited by the following article:

• TITLE: Hyper 360—Towards a Unified Tool Set Supporting Next Generation VR Film and TV Productions

  AUTHORS: Barnabas Takacs, Zsuzsanna Vincze, Hannes Fassold, Antonis Karakottas, Nikolaos Zioulis, Dimitrios Zarpalas, Petros Daras

  KEYWORDS: Deep Learning, Tensor Flow, YoloV3, 360˚ Video, Virtual Reality, Free Viewpoint Video, Quality Control, Automatic Cinematography, Multi-Camera Systems

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.12 No.5, May 27, 2019

  ABSTRACT: We describe four fundamental challenges that complex real-life Virtual Reality (VR) productions are facing today (such as multi-camera management, quality control, automatic annotation with cinematography and 360˚depth estimation) and describe an integrated solution, called Hyper 360, to address them. We demonstrate our solution and its evaluation in the context of practical productions and present related results.