220 citations · 558 across the 23 of their papers we have counts for
16 papers · 1 filter
Single-Pass Object-Focused Data Selection
Niclas Popp, Dan Zhang, Jan Hendrik Metzen +2
While unlabeled image data is often plentiful, the costs of high-quality labels pose an important practical challenge: Which images should one select for labeling to use the annota…
Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory
Xiaoyan Xing, Vincent Tao Hu, Jan Hendrik Metzen +3
This paper introduces a novel approach to illumination manipulation in diffusion models, addressing the gap in conditional image generation with a focus on lighting conditions. We…
Label-free Neural Semantic Image Synthesis
Jiayi Wang, Kevin Alexander Laube, Yumeng Li +4
Recent work has shown great progress in integrating spatial conditioning to control large, pre-trained text-to-image diffusion models. Despite these advances, existing methods desc…
Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data
Niclas Popp, Jan Hendrik Metzen, Matthias Hein
Multi-modal foundation models such as CLIP have showcased impressive zero-shot capabilities. However, their applicability in resource-constrained environments is limited due to the…
Identification of Fine-grained Systematic Errors via Controlled Scene Generation
Valentyn Boreiko, Matthias Hein, Jan Hendrik Metzen
Many safety-critical applications, especially in autonomous driving, require reliable object detectors. They can be very effectively assisted by a method to search for and identify…
Identifying Systematic Errors in Object Detectors with the SCROD Pipeline
Valentyn Boreiko, Matthias Hein, Jan Hendrik Metzen
The identification and removal of systematic errors in object detectors can be a prerequisite for their deployment in safety-critical applications like automated driving and roboti…