Daniel Kienzle — accepted AI-conference papers

2026

DSFlash: Comprehensive Panoptic Scene Graph Generation in Realtime

Julian Lorenz, Vladyslav Kovganko, Elias Kohout, Mrunmai Phatak, Daniel Kienzle, Rainer Lienhart

CVPR 2026

Scene Graph Generation (SGG) aims to extract a detailed graph structure from an image, a representation that holds significant promise as a robust intermediate step for complex downstream tasks like reasoning for embodied agents. However, practical deployment in real-world applications - especially

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2024

A Fair Ranking and New Model for Panoptic Scene Graph Generation

Julian Lorenz*, Alexander Pest, Daniel Kienzle, Katja Ludwig, Rainer Lienhart

ECCV 2024oral

"In panoptic scene graph generation (PSGG), models retrieve interactions between objects in an image which are grounded by panoptic segmentation masks. Previous evaluations on panoptic scene graphs have been subject to an erroneous evaluation protocol where multiple masks for the same object can lea…

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