Observational Learning in Random Networks. - Julian Lorenz; Martin Marciniszyn; Angelika Steger (COLT, 2007)

Optimal Algorithms for k-Search with Application in Option Pricing. - Julian Lorenz; Konstantinos Panagiotou; Angelika Steger (Algorithmica, 2009)

Von Neumann and Newman poker with a flip of hand values. - Nicla Bernasconi; Julian Lorenz; Reto Spöhel (Discret. Math., 2011)

COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainings. - Daniel Kienzle; Julian Lorenz; Robin Schön; Katja Ludwig; Rainer Lienhart (ECCV Workshops (7), 2022)

Custom Pretrainings and Adapted 3D-ConvNeXt Architecture for COVID Detection and Severity Prediction. - Daniel Kienzle; Julian Lorenz; Robin Schön; Katja Ludwig; Rainer Lienhart (CoRR, 2022)

All Keypoints You Need: Detecting Arbitrary Keypoints on the Body of Triple, High, and Long Jump Athletes. - Katja Ludwig; Julian Lorenz; Robin Schön; Rainer Lienhart (CVPR Workshops, 2023)

Haystack: A Panoptic Scene Graph Dataset to Evaluate Rare Predicate Classes. - Julian Lorenz; Florian Barthel; Daniel Kienzle; Rainer Lienhart (ICCV (Workshops), 2023)

Detecting Arbitrary Keypoints on Limbs and Skis with Sparse Partly Correct Segmentation Masks. - Katja Ludwig; Daniel Kienzle; Julian Lorenz; Rainer Lienhart (WACV (Workshops), 2023)

Towards Learning Monocular 3D Object Localization from 2D Labels Using the Physical Laws of Motion. - Daniel Kienzle; Katja Ludwig; Julian Lorenz; Rainer Lienhart (3DV, 2024)

A Review and Efficient Implementation of Scene Graph Generation Metrics. - Julian Lorenz; Robin Schön; Katja Ludwig; Rainer Lienhart (CVPR Workshops, 2024)

Adapting the Segment Anything Model During Usage in Novel Situations. - Robin Schön; Julian Lorenz; Katja Ludwig; Rainer Lienhart (CVPR Workshops, 2024)

UNCOVER: Data-Driven Design Support through Continuous Monitoring of Security Incidents. - Matthias Stammler; Julian Lorenz; Eric Sax; Jürgen Becker 001; Matthias Hamann; Patrick Bidinger; Andreas Dewald; Paraskevi Georgouti; Alexios Camarinopoulos; Günter Becker; Klaus Finsterbusch; Maximilian Kirschner; et al. (DATE, 2024)

A Fair Ranking and New Model for Panoptic Scene Graph Generation. - Julian Lorenz; Alexander Pest; Daniel Kienzle; Katja Ludwig; Rainer Lienhart (ECCV (61), 2024)

The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. - Luuk H. Boulogne; Julian Lorenz; Daniel Kienzle; Robin Schön; Katja Ludwig; Rainer Lienhart; Simon Jégou; Guang Li; Cong Chen; Qi Wang; Derik Shi; Mayug Maniparambil; et al. (Medical Image Anal., 2024)

Leveraging Anthropometric Measurements to Improve Human Mesh Estimation and Ensure Consistent Body Shapes. - Katja Ludwig; Julian Lorenz; Daniel Kienzle; Tuan Bui; Rainer Lienhart (CVPR Workshops, 2025)

SkipClick: Combining Quick Responses and Low-Level Features for Interactive Segmentation in Winter Sports Contexts. - Robin Schön; Julian Lorenz; Daniel Kienzle; Rainer Lienhart (WACV (Workshops), 2025)

On the Importance of Conditioning for Privacy-Preserving Data Augmentation. - Julian Lorenz; Katja Ludwig; Valentin Haug; Rainer Lienhart (CoRR, 2025)

HOIverse: A Synthetic Scene Graph Dataset With Human Object Interactions. - Mrunmai Vivek Phatak; Julian Lorenz; Nico Hörmann; Jörg Hähner; Rainer Lienhart (CoRR, 2025)

CoPa-SG: Dense Scene Graphs with Parametric and Proto-Relations. - Julian Lorenz; Mrunmai Phatak; Robin Schön; Katja Ludwig; Nico Hörmann; Annemarie Friedrich; Rainer Lienhart (CoRR, 2025)