Daniel Oñoro
Research Scientist at NEC Laboratories Europe
Heidelberg, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolDaniel Oñoro is a research scientist based in Heidelberg with over a decade of experience applying machine learning to image data across domains such as autonomous vehicles, mobile vision, medical imaging, and video surveillance. His research career began in 2009 with the Fast-RNN clustering algorithm and has grown through academic and industry roles, including an ongoing appointment at NEC Laboratories Europe and a PhD in Computer Vision from Universidad de Alcalá. He has hands-on experience delivering production-aware computer vision solutions for Android devices, perception stacks for autonomous systems, and image search engines, often bridging research and engineering by leading teams of engineers and students. Comfortable with sensor fusion, ROS, and embedded perception, he brings a practitioner’s eye for systems that run in constrained environments as well as for large-scale image understanding. Colleagues value him for combining long-term research depth with practical product-oriented development and cross-cultural collaboration across Europe and Asia.
10 years of coding experience
5 years of employment as a software developer
Vision Summer School, Computer Vision, Vision Summer School, Computer Vision at Eidgenössische Technische Hochschule ZürichDoctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at Universidad de AlcaláÖrebro UniversityEngineer's Degree, Perception for Autonomous Vehicles, Master, Engineer's Degree, Perception for Autonomous Vehicles, Master at Korea University of Technology and Education
Spanish, English, German
Stackoverflow
1reputation
0reached
0answers
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Github Skills (12)
python10
hydra10
counting10
machine-learning9
deep-learning9
kaggle4
generative-adversarial-network4
cli3
tensorflow2
faster-rcnn2
pytorch2
large-language-models1
Programming languages (2)
Github contributions (5)
gramuah/ccnn
Jul 2016 - May 2021
Counting CNN and Hydra CNN
Contributions:64 commits, 45 pushes, 3 comments in 4 years 10 months
pythondeep-learningmachine-learninghydracnn
gramuah/pose-estimation-study
Jan 2016 - Oct 2018
Contributions:45 commits, 17 pushes, 1 comment in 2 years 9 months
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