Rowel O. Atienza

Position: Professor
Laboratory Affiliation: Ubiquitous Computing Laboratory
Room: 210
Telephone Number: +63-2-9818500 ext 3322
Email: rowel@eee.upd.edu.ph
Research Interests: AI; Computer Vision; Robotics
Educational Background:
PhD Robotics The Australian National University, 2008
MEng, National University of Singapore, 1997

Personal Homepage: Rowel Atienza

Research Projects/Activities: Voice: Speech for Everyone and Everything
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.  

Google Scholar
Recent Publication/s:
Book:
Atienza, Rowel. “Advanced Deep Learning with TensorFlow 2 and Keras.” Packt Publishing Ltd, 2020 (2nd Ed), 2018 (1st Ed).
Atienza, Rowel. Advanced Deep Learning with TensorFlow2 and Keras, 2nd Edition, Packt Publishing, United Kingdom. 2020. Amazon Link: https://amzn.to/2wotTnN
  Selected Publications:
Bautista, Darwin and Rowel Atienza, “Scene Text Recognition with Permuted Autoregressive Sequence Models.” European Conference on Computer Vision (ECCV). Springer, Cham, 2022.
De Leon, Josen Daniel, and Rowel Atienza. “Depth Pruning with Auxiliary Networks for Tinyml.” ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022.
Atienza, Rowel. “Improving Model Generalization by Agreement of Learned Representations from Data Augmentation.” Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2022.
Atienza, Rowel. “Data Augmentation for Scene Text Recognition.” IEEE/CVF International Conference on Computer Vision (ICCV) Workshops , 2021.  Also available on https://arxiv.org/abs/2108.06949
Atienza, Rowel. “Vision Transformer for Fast and Efficient Scene Text Recognition.” 16th International Conference on Document Analysis and Recognition (ICDAR), Springer Lecture Notes in Computer Science, 2021. Also available on https://arxiv.org/abs/2105.08582
Tomas, H., Reyes, M.,  Dionido, R., Ty, M., Casimiro, J., Atienza, R., Guinto, R. “GOO : A Dataset for Gaze Object Prediction in Retail Environments.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition  (CVPR) Workshops. 2021.
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.