Attila Lengyel
Applied Scientist at TomTom
Rotterdam, South Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolAttila Lengyel is an applied scientist and final-year PhD candidate at TU Delft specializing in computer vision, self-supervised representation learning, and in-/equivariant architectures, with a decade of experience building research-driven ML systems. He currently develops computer vision algorithms for automated HD map creation at TomTom and previously contributed to Google’s Visual Positioning System during a research internship. His work bridges fundamental deep learning research and practical deployments, from segmentation-based recycling PoCs to stereo visual odometry for robotics. A globetrotting researcher, he has visiting stints at AIML (University of Adelaide), QUT, and NTNU, reflecting a strong collaborative and interdisciplinary mindset.
10 years of coding experience
5 years of employment as a software developer
Visiting Researcher, Computer Vision, Visiting Researcher, Computer Vision at QUT (Queensland University of Technology)Pre-university education (VWO), Pre-university education (VWO) at Esdal CollegeDoctor of Philosophy - PhD, Computer vision, Doctor of Philosophy - PhD, Computer vision at TU DelftMaster of Science (MSc), Electrical Engineering, Signals & Systems, GPA 8.2/10.0, Master of Science (MSc), Electrical Engineering, Signals & Systems, GPA 8.2/10.0 at Delft University of TechnologyVisiting researcher @ Australian Institute for Machine Learning (AIML), Visiting researcher @ Australian Institute for Machine Learning (AIML) at University of AdelaidePraedinius GymnasiumNorwegian University of Science and Technology
Dutch, English, Hungarian, German
Github Skills (56)
keras10
segmentation10
data-science9
depth-estimation9
pytorch9
python9
encoder-decoder9
machine-learning9
torchvision9
tensorflow9
gpu9
densenet9
image-segmentation9
deep-learning9
adaptation9
Programming languages (7)
Github contributions (5)
Attila94/CIConv
Aug 2021 - Apr 2022
Original code for "Zero-Shot Day-Night Domain Adaptation with a Physics Prior"
Contributions:16 commits, 14 pushes, 1 branch in 8 months
pytorchphysicszeronightdeep-learning
Attila94/SepGroupPy
Jan 2021 - Dec 2021
Contributions:5 commits, 2 pushes in 11 months
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