My research interest is in the intersection of robotics, vision, graphics, language understanding, and virtual and augmented reality (VR/AR). My lifelong goal is to build a society surrounded by intelligent systems that automate most of our daily tasks. I have research grants funded by DOST-PCIEERD, CHED-PCARI, and Samsung.
Atienza, Rowel. "Advanced Deep Learning with TensorFlow 2 and Keras." Packt Publishing Ltd, 2020 (2nd Ed), 2018 (1st Ed).
Peralta, D., Casimiro, J., Nilles, A.M., Aguilar, J.A., Atienza, R., and Cajote, R. "Next-Best View Policy for 3D Reconstruction." European Conference on Computer Vision (ECCV) Workshops, 2020.
Daroya, R., Atienza, R.,Cajote, R. "REIN: Flexible Mesh Generation from Point Clouds." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. 2020.
Atienza, Rowel. "Pyramid U-Network for Skeleton Extraction From Shape Points." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. 2019.
Atienza, Rowel. "A Conditional Generative Adversarial Network for Rendering Point Clouds." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. 2019.
Atienza, Rowel. "Fast disparity estimation using dense networks." 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018.
Atienza, Rowel, et al. "Interaction techniques using head gaze for virtual reality." 2016 IEEE Region 10 Symposium (TENSYMP). IEEE, 2016.