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20232026
most citedLeveraging Anthropometric Measurements to Improve Human Mesh Estimation and Ensure Consistent Body Shapes

2 citations · 2 across the 25 of their papers we have counts for

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7 papers · 1 filter

cs.CL2024

Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach

Hugo Math, Rainer Lienhart, Robin Schön

In this paper, we draw an analogy between processing natural languages and processing multivariate event streams from vehicles in order to predict and $\textit{what…

cs.CV2024★ 2 cited

Leveraging Anthropometric Measurements to Improve Human Mesh Estimation and Ensure Consistent Body Shapes

Katja Ludwig, Julian Lorenz, Daniel Kienzle +2

The basic body shape (i.e., the body shape in T-pose) of a person does not change within a single video. However, most SOTA human mesh estimation (HME) models output a slightly dif…

cs.CV2024

WSESeg: Introducing a Dataset for the Segmentation of Winter Sports Equipment with a Baseline for Interactive Segmentation

Robin Schön, Daniel Kienzle, Rainer Lienhart

In this paper we introduce a new dataset containing instance segmentation masks for ten different categories of winter sports equipment, called WSESeg (Winter Sports Equipment Segm…

cs.CV2024

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…

cs.CV2024

Segformer++: Efficient Token-Merging Strategies for High-Resolution Semantic Segmentation

Daniel Kienzle, Marco Kantonis, Robin Schön +1

Utilizing transformer architectures for semantic segmentation of high-resolution images is hindered by the attention's quadratic computational complexity in the number of tokens. A…

cs.CV2024

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…

cs.CV2024

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…