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20222026
most citedThe STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data

2 citations · 5 across the 17 of their papers we have counts for

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cs.CV2026

A Multi-Source Ultrasound Benchmark Revealing the Limits of Contemporary Self-Supervised Anomaly Detection Methods

Marco Riedenauer, Daniel Kienzle, Pratik Mayekar +1

Self-supervised anomaly detection is a promising paradigm for medical ultrasound, as normal images are often easier to obtain than exhaustive annotations of all possible pathologie…

cs.CV2026

Event Detection in Table Tennis Videos using 2D Keypoints

Rainer Lienhart, Daniel Kienzle, Shin'ichi Satoh +1

This paper addresses the challenge of automatic, frame-accurate event detection in table tennis videos. Current methods for estimating 3d ball trajectories and ball spin typically…

cs.LG2026

Beyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) Benchmark

Matthias Blaschke, Daniel Kienzle, Zsuzsanna Koczor-Benda +3

Generative molecular design is shaped by simple proxy benchmarks for drug-like properties and models pretrained on large pharmaceutical datasets. This combination yields strong ben…

cs.CV2026

TT4D: A Pipeline and Dataset for Table Tennis 4D Reconstruction From Monocular Videos

Nima Rahmanian, Daniel Kienzle, Thomas Gossard +3

We present TT4D, a large-scale, high-fidelity table tennis dataset. It provides hours of reconstructed singles and doubles gameplay from monocular broadcast videos, featurin…

cs.CV2026

DSFlash: Comprehensive Panoptic Scene Graph Generation in Realtime

Julian Lorenz, Vladyslav Kovganko, Elias Kohout +3

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 dow…