It is our pleasure to welcome Pratik Mayekar at the chair for Machine Learning and Computer Vision. He complements our team as a PhD student starting on march 1, 2026

Congratulations to Dr. Julian Lorenz on the successful defense (summa cum laude) of his dissertation: Expressive Scene Graph Generation for Rich Visual Understanding. Overcoming Limitations in Evaluation, Datasets, and Neural Network Architectures. We thank him for his time together at the chair and wish him all the best for the future!

The Faculty of Applied Computer Science, Chair of Machine Learning and Vision (Prof. Dr. Rainer Lienhart), invites applications for a research assistant position to be filled as soon as possible.

Congratulations to Dr. Robin Schön on the successful defense of his dissertation:

Learning Approaches for Interactive Segmentation: From Unimodal to Multimodal Interactive Segmentation. 

We thank him for his time together at the chair and wish him all the best for the future!

The paper "Uplifting Table Tennis: A Robust, Real-World Application for 3D Trajectory and Spin Estimation" by Daniel Kienzle,Katja Ludwig, Julian Lorenz, Shin'ichi Satoh and Rainer Lienhart has been accepted at the Workshop "IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026". 

 

Our paper "CoPa-SG: Dense Scene Graphs with Parametric and Proto-Relations" won the Best Paper Award at the 3rd Workshop on Scene Graphs and Graph Representation Learning (SG2RL).

This workshop took place as part of this year's ICCV 2025 in Honolulu, Hawaii.

The paper "Towards Practical Multi-label Causal Discovery in High-Dimensional Event Sequences via One-Shot Graph Aggregation" by Hugo Math and Rainer Lienhart has been accepted at the "SPIGM: Structural Probabilistic Inference and Generative Modeling" workshop. The workshop will take place in December 2025 as part of NeuRIPS 2025 in San Diego.

The paper "One-Shot Multi-Label Causal Discovery in High-Dimensional Event Sequences" by Hugo Math, Robin Schön, and Rainer Lienhart has been accepted at the "Workshop on CauScien: Discovering Causality in Science." The workshop will take place in December 2025 as part of NeuRIPS 2025 in San Diego.

A paper titled "MMMS: Multi-Modal Multi-Surface Interactive Segmentation" by Robin Schön, Julian Lorenz, Katja Ludwig, Daniel Kienzle, and Rainer Lienhart has been accepted at the "2025 IEEE International Conference on Content-Based Multimedia Indexing (IEEE CBMI)." The conference will take place in October 2025 in Dublin, Ireland. 

Ein Paper mit dem Titel „MMMS: Multi-Modal Multi-Surface Interactive Segmentation“ von Robin Schön, Julian Lorenz, Katja Ludwig, Daniel Kienzle und Rainer Lienhart wurde auf der „2025 IEEE International Conference on Content-Based Multimedia Indexing (IEEE CBMI)“ akzeptiert. Die Konferenz wird im Oktober 2025 in Dublin, Irland stattfinden.

We are pleased to announce that our research has been highlighted in Episode 5 of the SportsAI Podcast. In this episode, the hosts discuss their favorite papers from the recent CVPR conference, and we are happy for this recognition of our work.

Our paper "On the Importance of Conditioning for Privacy-Preserving Data Augmentation" by Julian Lorenz, Katja Ludwig, Valentin Haug, and Rainer Lienhart has been accepted to the Workshop on Safe and Trustworthy Multimodal AI Systems (SafeMM-AI) at the International Conference on Computer Vision 2025 and our paper has been selected for an oral presentation at the conference by the reviewers.