1 citations · 1 across the 5 of their papers we have counts for
5 papers
A Fair Ranking and New Model for Panoptic Scene Graph Generation
Julian Lorenz, Alexander Pest, Daniel Kienzle +2
In panoptic scene graph generation (PSGG), models retrieve interactions between objects in an image which are grounded by panoptic segmentation masks. Previous evaluations on panop…
A Review and Efficient Implementation of Scene Graph Generation Metrics
Julian Lorenz, Robin Schön, Katja Ludwig +1
Scene graph generation has emerged as a prominent research field in computer vision, witnessing significant advancements in the recent years. However, despite these strides, precis…
Adapting the Segment Anything Model During Usage in Novel Situations
Robin Schön, Julian Lorenz, Katja Ludwig +1
The interactive segmentation task consists in the creation of object segmentation masks based on user interactions. The most common way to guide a model towards producing a correct…
Haystack: A Panoptic Scene Graph Dataset to Evaluate Rare Predicate Classes
Julian Lorenz, Florian Barthel, Daniel Kienzle +1
Current scene graph datasets suffer from strong long-tail distributions of their predicate classes. Due to a very low number of some predicate classes in the test sets, no reliable…
All Keypoints You Need: Detecting Arbitrary Keypoints on the Body of Triple, High, and Long Jump Athletes
Katja Ludwig, Julian Lorenz, Robin Schön +1
Performance analyses based on videos are commonly used by coaches of athletes in various sports disciplines. In individual sports, these analyses mainly comprise the body posture.…