A. D. Aladagli, E. Ekmekcioglu, D. Jarnikov, and A. Kondoz, Predicting head trajectories in 360°virtual reality videos, IEEE Int. Conf. on 3D Immersion, 2017.

Y. Ban, L. Xie, Z. Xu, X. Zhang, Z. Guo et al., Cub360: Exploiting cross-users behaviors for viewport prediction in 360 video adaptive streaming, IEEE Int. Conf. on Multimedia and Expo (ICME), 2018.

E. J. David, J. Gutiérrez, A. Coutrot, M. P. Da-silva, and P. L. Callet, A dataset of head and eye movements for 360-Degree videos, ACM MMSys, pp.432-437, 2018.

C. Fan, J. Lee, W. Lo, C. Huang, K. Chen et al., Fixation prediction for 360 video streaming in head-mounted virtual reality, ACM NOSSDAV, pp.67-72, 2017.

X. Huang, C. Shen, X. Boix, and Q. Zhao, Salicon: Reducing the semantic gap in saliency prediction by adapting deep neural networks, IEEE ICCV, pp.262-270, 2015.

Y. Li, Y. Xu, S. Xie, L. Ma, and J. Sun, Two-Layer FoV Prediction Model for Viewport Dependent Streaming of 360-Degree Videos, Int. Conf. on Comm. and Netw. in China (ChinaCom), pp.501-509, 2018.

A. Nguyen, Z. Yan, and K. Nahrstedt, Your Attention is Unique: Detecting 360-Degree Video Saliency in Head-Mounted Display for Head Movement Prediction, ACM Int. Conf. on Multimedia, pp.1190-1198, 2018.

A. Nguyen, Z. Yan, and K. Nahrstedt, PanoSalNet -Source code for Your Attention is Unique: Detecting 360-Degree Video Saliency in Head-Mounted Display for Head Movement Prediction, 2019.

J. Park, P. Chou, and J. Hwang, Rate-Utility Optimized Streaming of Volumetric Media for Augmented Reality, 2018.

S. Petrangeli, G. Simon, and V. Swaminathan, Trajectory-Based Viewport Prediction for 360-Degree Virtual Reality Videos, 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, pp.157-160, 2018.

M. Romero, L. Sassatelli, R. Aparicio, and F. Precioso, Revisiting Deep Architectures for Head Motion Prediction in 360°Videos, 2020.

M. Romero, L. Sassatelli, R. Aparicio, and F. Precioso, , 2020.

S. Rossi, F. Simone, P. Frossard, and L. Toni, Spherical Clustering of Users Navigating 360-Degree Content, ICASSP 2019 -2019 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.4020-4024, 2019.

K. Simonyan and A. Zisserman, Very deep convolutional networks for large-scale image recognition, 2014.

M. Xu, Y. Song, J. Wang, M. Qiao, L. Huo et al., Dataset for Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach (PAMI, 2018.

M. Xu, Y. Song, J. Wang, M. Qiao, L. Huo et al., Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach, IEEE Trans. on PAMI, 2018.

Y. Xu, Y. Dong, J. Wu, Z. Sun, Z. Shi et al., Gaze Prediction in Dynamic 360°Immersive Videos, IEEE CVPR, pp.5333-5342, 2018.