Xavier Poma
Assistant Professor at Escuela Superior Politécnica de Chimborazo
Ecuador
Summary
👤
Senior🎓
Top SchoolXavier Poma is an Assistant Professor and computer vision researcher with a PhD from Universitat Autònoma de Barcelona and a decade of experience building AI-driven image processing systems. He specializes in multispectral imaging, color restoration, super-resolution, segmentation and edge detection, and implements models with TensorFlow and PyTorch. As the author and contributor to DexiNed, a Dense EXtreme Inception Network for edge detection, he focuses on lightweight, deployable architectures for real-world and near-infrared imagery. His career blends applied research and teaching across Ecuadorian universities and secondary education, reflecting a strong commitment to translating advanced methods into curricula and practical tools. Known for combining academic rigor with hands-on engineering, he often optimizes models for efficiency on resource-constrained platforms.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science (Computer Vision), Doctor of Philosophy - PhD, Computer Science (Computer Vision) at Universitat Autònoma de BarcelonaMaster in Educational Informatics, Information Technology for Education and Teaching, Master in Educational Informatics, Information Technology for Education and Teaching at Escuela Superior Politécnica de ChimborazoComputer science, Computer science at CourseraBachelor's degree, Educational Informatics, Bachelor's degree, Educational Informatics at Universidad Nacional de Chimborazo
English, Spanish
Stackoverflow
73reputation
9kreached
1answer
3questions
Github Skills (18)
model-driven10
machine-learning10
model-building10
tensorflow10
computer-vision10
modeling10
model-driven-development10
mask-rcnn9
faster-rcnn9
back-end-development8
keras6
opencv6
matrix6
math6
python6
Programming languages (4)
Github contributions (5)
xavysp/DexiNed
Mar 2019 - Aug 2022
DexiNed: Dense EXtreme Inception Network for Edge Detection
Role in this project:
Back-end Developer
Back-end DeveloperContributions:373 commits, 8 PRs, 113 pushes in 3 years 5 months
Contributions summary:Xavier's contributions are centered around the development of a machine learning model for edge detection. The primary focus is on implementing the model in TensorFlow, evidenced by the "ft\_dexint.py" file, along with configurations and models. The user also contributed to the training process, likely by adding or modifying files for model training and testing. These changes indicate the user's role in building and adapting the model architecture.
pytorchdenseinception-networkextremecnn-architecture
xavysp/LDC
Dec 2021 - Sep 2022
Contributions:30 commits, 11 pushes, 19 comments in 8 months
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