Sascha Saralajew | DeepAI

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Carolin Lawrence
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∙ 05/25/2022

A Human-Centric Assessment Framework for AI

With the rise of AI systems in real-world applications comes the need fo...

0 Sascha Saralajew, et al. ∙

∙ 04/25/2022

Combining Visual Saliency Methods and Sparse Keypoint Annotations to Providently Detect Vehicles at Night

Provident detection of other road users at night has the potential for i...

7 Lukas Ewecker, et al. ∙

∙ 07/23/2021

Provident Vehicle Detection at Night for Advanced Driver Assistance Systems

In recent years, computer vision algorithms have become more and more po...

1 Lukas Ewecker, et al. ∙

∙ 05/27/2021

A Dataset for Provident Vehicle Detection at Night

In current object detection, algorithms require the object to be directl...

0 Sascha Saralajew, et al. ∙

∙ 12/31/2020

Provident Vehicle Detection at Night: The PVDN Dataset

For advanced driver assistance systems, it is crucial to have informatio...

0 Lars Ohnemus, et al. ∙

∙ 12/03/2020

Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets

Research on localization and perception for Autonomous Driving is mainly...

0 Simon T. Isele, et al. ∙

∙ 02/01/2019

Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks

Adversarial attacks and the development of (deep) neural networks robust...

0 Sascha Saralajew, et al. ∙

∙ 12/04/2018

Prototype-based Neural Network Layers: Incorporating Vector Quantization

Neural networks currently dominate the machine learning community and th...

0 Sascha Saralajew, et al. ∙

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