⚠️ Access Request Page - required if users are interested in accessing collections below
- [📚] AI - A modern approach – famous Artificial Intelligence basics book
- [📄] DL References – large set of Deep Learning theory references and papers
- [📄] papers – useful theory papers (Kullback-Leibler, Savitzky-Golay, etc.)
- [📚📚📚] base resources
- Note: important Mathematics, Pattern Recognition, ML and Autonomous driving resources
Research & Publications Timeline:
- 01.09.2024: Introducing a Class-Aware Metric for Monocular Depth Estimation: An Automotive Perspective
- Overview: we propose a more descriptive metric for Monocular Metric Depth Estimation (MMDE), which leverages use-case class importance definitions
- Homepage
- 18.11.2023: Using Transformers to Improve Anomalous Trajectory Detection for Autonomous Driving
- Master Thesis at University of Stuttgart
- Presented the work of using agent-aware transformers to perform reliable and general reconstruction-based anomaly detection in autonomous driving trajectory data.
- Preparing work to publish as a workshop/conference paper in 2024.
- 19.08.2023: Deep-dive into UvA Deep Learning Workshop
- Used material from UvA to structure own resources better
- Leverage insights for several topics such as: transformers, autoencoders, but also previous research work: adversarial attacks (GIA research work below)
- 11.02.2023: Trajectory Prediction using Encoder-Decoder architecture Jupyter Notebook
- Using proprietary GPS coordinate manipulation, based on manifold mathematics on geodesic
- Taxi trajectory dataset
- 30.01.2023: Generative Inversion Attack - Jupyter Notebook / rendered pdf
- Purpose: uncover knowledge of target network about image identities using GANs
- Dataset: MPIIFaceGaze