Julian Lorenz

According to our database, Julian Lorenz authored at least 25 papers between 2007 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

DSFlash: Comprehensive Panoptic Scene Graph Generation in Realtime.

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

CoRR, March, 2026

Multi-Agent Causal Reasoning System for Error Pattern Rule Automation in Vehicles.

Hugo Math, Julian Lorenz, Stefan Oelsner, Rainer Lienhart

CoRR, February, 2026

Expressive scene graph generation for rich visual understanding: Overcoming limitations in evaluation, datasets, and neural network architectures.

Julian Lorenz

PhD thesis, 2026

Uplifting Table Tennis: A Robust, Real-World Application for 3D Trajectory and Spin Estimation.

Daniel Kienzle, Katja Ludwig, Julian Lorenz, Shin'ichi Satoh, Rainer Lienhart

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

MMMS: Multi-Modal Multi-Surface Interactive Segmentation.

Robin Schön, Julian Lorenz, Katja Ludwig, Daniel Kienzle, Rainer Lienhart

CoRR, September, 2025

HOIverse: A Synthetic Scene Graph Dataset With Human Object Interactions.

Mrunmai Vivek Phatak, Julian Lorenz, Nico Hörmann, Jörg Hähner, Rainer Lienhart

CoRR, June, 2025

SkipClick: Combining Quick Responses and Low-Level Features for Interactive Segmentation in Winter Sports Contexts.

Robin Schön, Julian Lorenz, Daniel Kienzle, Rainer Lienhart

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

On the Importance of Conditioning for Privacy-Preserving Data Augmentation.

Julian Lorenz, Katja Ludwig, Valentin Haug, Rainer Lienhart

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

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

Katja Ludwig, Julian Lorenz, Daniel Kienzle, Tuan Bui, Rainer Lienhart

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

MMMS: Multi-Modal Multi-Surface Interactive Segmentation.

Robin Schön, Julian Lorenz, Katja Ludwig, Daniel Kienle, Rainer Lienhart

Proceedings of the International Conference on Content-Based Multimedia Indexing, 2025

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, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel

Medical Image Anal., 2024

A Fair Ranking and New Model for Panoptic Scene Graph Generation.

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

Proceedings of the Computer Vision - ECCV 2024, 2024

UNCOVER: Data-Driven Design Support through Continuous Monitoring of Security Incidents.

Matthias Stammler, Julian Lorenz, Eric Sax, Jürgen Becker, Matthias Hamann, Patrick Bidinger, Andreas Dewald, Paraskevi Georgouti, Alexios Camarinopoulos, Günter Becker, Klaus Finsterbusch, Maximilian Kirschner, Laurenz Adolph, Carl Philipp Hohl, Maria Rill, Daniel Vonderau, Victor Pazmino Betancourt

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Adapting the Segment Anything Model During Usage in Novel Situations.

Robin Schön, Julian Lorenz, Katja Ludwig, Rainer Lienhart

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Review and Efficient Implementation of Scene Graph Generation Metrics.

Julian Lorenz, Robin Schön, Katja Ludwig, Rainer Lienhart

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Learning Monocular 3D Object Localization from 2D Labels Using the Physical Laws of Motion.

Daniel Kienzle, Katja Ludwig, Julian Lorenz, Rainer Lienhart

Proceedings of the International Conference on 3D Vision, 2024

2023

Detecting Arbitrary Keypoints on Limbs and Skis with Sparse Partly Correct Segmentation Masks.

Katja Ludwig, Daniel Kienzle, Julian Lorenz, Rainer Lienhart

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Haystack: A Panoptic Scene Graph Dataset to Evaluate Rare Predicate Classes.

Julian Lorenz, Florian Barthel, Daniel Kienzle, Rainer Lienhart

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainings.

Daniel Kienzle, Julian Lorenz, Robin Schön, Katja Ludwig, Rainer Lienhart

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2011

Von Neumann and Newman poker with a flip of hand values.

Nicla Bernasconi, Julian Lorenz, Reto Spöhel

Discret. Math., 2011

2007

Optimal Algorithms for <i>k</i> -Search with Application in Option Pricing.

Julian Lorenz, Konstantinos Panagiotou, Angelika Steger

Proceedings of the Algorithms, 2007

Observational Learning in Random Networks.

Julian Lorenz, Martin Marciniszyn, Angelika Steger

Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007