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
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 |
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. |