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Pages
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Posts
3D Deep Learning for Perception
Published:
3D Deep Learning is the area of machine learning on 3D data. Typically 3D data comes from sensor measurements like LiDAR, radar, stereo-camera, etc. Due to the wide applications of point cloud data like computer vision, robotics and autonomous systems it has gained a lot of attention recently. Tasks like 3D shape classification, 3D detection and tracking and 3D segmentation are very common in above mentioned areas. Read more
publications
Contrastive Pretraining of Regression Tasks in Reliability Forecasting of Automotive Electronics
Published in 22nd International Conference on Machine Learning and Applications, 2023
This paper is about using contrastive learning in regression tasks by contrasting via Radial Basis Function of continuous labels. Read more
Recommended citation: E. Zarbali et al. (2023). "Contrastive Pretraining of Regression Tasks in Reliability Forecasting of Automotive Electronics." 2023 International Conference on Machine Learning and Applications (ICMLA). pp.332-338(1). https://ieeexplore.ieee.org/document/10460043
teaching
Self-Supervised Learning in Vision
Postgraduade/Masters guest lecture, Ruhr-Universität Bochum, 2024
In the guest lecture we delved into the fundamentals of modern self-supervised learning frameworks in computer vision. Why and how instance discrimination works and why exactly it is more robust than traditional supervised learning. Read more