Azarm Nowzad

According to our database, Azarm Nowzad authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection.

Moussa Kassem Sbeyti, Nadja Klein, Azarm Nowzad, Fikret Sivrikaya, Sahin Albayrak

Trans. Mach. Learn. Res., 2025

Segment-Level Road Obstacle Detection Using Visual Foundation Model Priors and Likelihood Ratios.

Youssef Shoeb, Nazir Nayal, Azarm Nowzad, Fatma Güney, Hanno Gottschalk

Proceedings of the 20th International Joint Conference on Computer Vision, 2025

Adaptive Neural Networks for Intelligent Data-Driven Development.

Youssef Shoeb, Azarm Nowzad, Hanno Gottschalk

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

Following the Clues: Experiments on Person Re-ID Using Cross-Modal Intelligence.

Robert Aufschläger, Youssef Shoeb, Azarm Nowzad, Michael Heigl, Fabian Bally, Martin Schramm

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art.

Youssef Shoeb, Azarm Nowzad, Hanno Gottschalk

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes.

Youssef Shoeb, Robin Chan, Gesina Schwalbe, Azarm Nowzad, Fatma Güney, Hanno Gottschalk

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration.

Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Azarm Nowzad, Sahin Albayrak

CoRR, 2023

Overcoming the Limitations of Localization Uncertainty: Efficient and Exact Non-linear Post-processing and Calibration.

Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Azarm Nowzad, Sahin Albayrak

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Interpretable Model-Agnostic Plausibility Verification for 2D Object Detectors Using Domain-Invariant Concept Bottleneck Models.

Mert Keser, Gesina Schwalbe, Azarm Nowzad, Alois Knoll

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Automatic real-time detection of non-rigid objects in natural environments.

Azarm Nowzad

PhD thesis, 2022