We are pleased to announce that our paper, “Sequence-SOD: Bio-inspired Sequence-aware Spiking Object Detection for Event Cameras,” by Katharina Bendig, René Schuster, and Didier Stricker, has been accepted for publication in Cognitive Computation, a Springer Nature journal. The paper introduces a sequence-aware approach that enables spiking neural networks to better exploit temporal information in continuous event-camera data.
Contact: René Schuster
We are pleased to announce that the paper
“Bounding Box Label Propagation for Re-Annotation of Document Layout Analysis Datasets“
by Nick Jochum, Tobias Alt-Veit, Christian Schön, Alexander Lück, René Schuster, and Didier Stricker
has been accepted for presentation at the 20th International Conference on Document Analysis and Recognition (ICDAR), taking place on August 30th to September 4th, 2026, in Vienna, Austria.
The paper connects the real-world problem of evolving class sets to AI-based document layout analysis.
Special recognition goes to Nick Jochum for carrying out the thesis work that formed the foundation of this publication, as well as to Insiders Technologies for the valuable collaboration.
Congratulations to all authors!
Contact: Dr. René Schuster
We are happy to be part of the Computer Vision Conference, where we have presented our paper “SF3D-RGB: Scene Flow Estimation from Monocular Camera and Sparse LiDAR” by Rajai Alhimdiat, Ramy Battrawy, René Schuster, Didier Stricker, Wesam Ashour.
The paper presents results of our collaboration with the Islamic University of Gaza on sensor fusion for 3D scene flow estimation.
Our work has received the Emerging Research Award, highlighting the quality of the presented paper.
The Computer Vision Conference 2026 took place in Amsterdam, NL, from May 21st to 22nd.
Contact: Dr.-Ing. René Schuster
The Augmented Vision department has 3 papers accepted at the upcoming ICPR 2026 conference.
The conference will be taking place at the International Convention Center, Lyon, France, from August 17th to 22nd.
The accepted papers are:
PanoSAMic: Panoramic Image Segmentation From Sam Feature Encoding And Dual View Fusion
Mahdi Chamseddine, Didier Stricker, Jason Rambach
MILE: Mixture Of Incremental Lora Experts For Continual Semantic Segmentation Across Domains And Modalities
Shishir Muralidhara, Didier Stricker, René Schuster
Efficient Post-Hoc Calibration In Object Detection Without Held-Out Data
Nikolas Ebert, Didier Stricker, Oliver Wasenmüller
Contact: Shishir Muralidhara
1st Workshop on Sustainability and Resource-Efficiency of Artificial Intelligence @ IJCAI 2026
Together with the RPTU Kaiserslautern-Landau, the Heidelberg University, and the Korea University, DFKI is organizing the SuRE workshop, co-located with the IJCAI-ECAI 2026 taking place in Bremen, Germany.
The workshop is a part of the Sustainable Embedded AI project and co-sponsored by the Carl Zeiss Foundation.
We would be glad if you consider our workshop for submission of your current work. The Call for Papers features three diverse tracks.
Contact: Dr.-Ing. René Schuster
The department Augmented Vision has 4 accepted papers at the upcoming CVPR 2026 conference taking place from June 3-7, 2026 at the Colorado Convention Center, Denver, USA.
The CVPR conference is the premier international conference in computer vision and pattern recognition.
The 4 accepted papers are:
DriverGaze360: OmniDirectional Driver Attention with Object-Level Guidance
Shreedhar Govil, Didier Stricker, Jason Rambach
LiREC-Net: A Target-Free and Learning-Based Network for LiDAR, RGB, and Event Calibration
Aditya Ranjan Dash, Ramy Battrawy, René Schuster, Didier Stricker
SIMSPINE: A Biomechanics-Aware Simulation Framework for 3D Spine Motion Annotation and Benchmarking
Muhammad Saif Ullah Khan, Didier Stricker
ReLaGS: Relational Language Gaussian Splatting
Yaxu Xie, Abdalla Arafa, Alireza Javanmardi, Christen Millerdurai, Jia Cheng Hu, Shaoxiang Wang, Alain Pagani, Didier Stricker
We are happy to anounce that our work on sensor generalization has won a Best Paper Award at ICPRAM 2026.
The conference was held in Marbella, Spain, from March 2nd to 4th.
Sensor Generalization for Adaptive Sensing in Event-based Object Detection via Joint Distribution Training
Aheli Saha, René Schuster, Didier Stricker
Contact: Dr.-Ing. René Schuster
The IEEE Conference on Artificial Intelligence 2026 (CAI) has accepted our paper
SAILS: Segment Anything with Incrementally Learned Semantics for Task-Invariant and Training-Free Continual Learning
by Shishir Muralidhara, Didier Stricker, and René Schuster.
The conference will be held in Granada, Spain, from May 8th to 10th.
We are happy to announce that our paper
SF3D-RGB: Scene Flow Estimation from Monocular Camera and Sparse LiDAR
by Rajai Alhimdiat, Ramy Battrawy, René Schuster, Didier Stricker, and Wesam Ashour,
has been accepted to the Computer Vision Conference 2026, organized by the Science and Information Organization. The conference will take place in Amsterdam from from May 21st to 22nd, 2026.
On Ocotober 27th, 2025 Michael David Fürst successfully defended his doctoral thesis entitled “Fusion in Object Detection and Human Pose Estimation for Automotive Scene Understanding”.
The PhD thesis was carried out in the Augmented Vision department at DFKI, supervised by Prof. Dr. Didier Stricker.
The PhD examination commission consisted of Prof. Dr. Didier Stricker (RPTU), Prof. Dr. Jörg Dörr (RPTU), Prof. Dr. Carlo Alberto (School of Advanced Studies, Pisa).
Congratulations on your PhD and we wish you all the best for the future!
René Schuster gave a talk on “Visual Continual Learning – Beyond Current Incremental Settings” during the 2nd Workshop on Human-Centered Vision and Media Technologies (HCVM) on 23.05.2025 in Tokyo. The workshop was part of the ASPIRE program (Adopting Sustainable Partnerships for Innovative Research Ecosystem) of the Japanese Science and Technology Agency.
Contact: René Schuster
The researchers of the Augmented Vision department have presented 4 papers at the ICPRAM 2025 conference taking place Feb 23 – 25, 2025 in Porto, Portugal.
The International Conference on Pattern Recognition Applications and Methods (ICPRAM) is a point of contact between researchers and engineers working on Pattern Recognition, both from a theoretical and application perspective.
The presented papers are:
“Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions”
Shishir Muralidhara, René Schuster, Didier Stricker
“1D-DiffNPHR: 1D Diffusion Neural Parametric Head Reconstruction using a single image”
Pragati Jaiswal, Tewodros Amberbir Habtegebrial, Didier Stricker
“HI^2: Sparse-View 3D Object Reconstruction with a Hybrid Implicit Initialization”
Pragati Jaiswal, Didier Stricker
“Object-Centric 2D Gaussian Splatting: Background Removal and Occlusion-Aware Pruning for Compact Object Models”
Marcel Rogge, Didier Stricker
The paper “HI^2: Sparse-View 3D Object Reconstruction with a Hybrid Implicit Initialization” was a nominee for the best paper award.
Congratulations to all the authors!
Contact: René Schuster, Didier Stricker
The researchers of the department Augmented Vision have presented 4 papers at WACV 2025 conference taking place Feb 28 – Mar 4, 2025 in Tucson, Arizona, USA.
The IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) one of the three major Computer Vision conferences organized by TCPAMI.
The 4 papers are:
“Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction” Shaoxiang Wang, Yaxu Xie, Chun-Peng Chang, Christen Millerdurai, Alain Pagani, Didier Stricker
“Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation”, Niharika Hegde, Shishir Muralidhara, René Schuster, Didier Stricker
“AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy”, Katharina Bendig, René Schuster, Nicole Thiemer, Karen Joisten, Didier Stricker
“Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection”, Khurram Azeem Hashmi, Talha Uddin Sheikh, Didier Stricker, Muhammad Zeshan Afzal
Congratulations to the authors for this great achievement!
Contact: Alain Pagani, René Schuster, Zeshan Afzal
Contact: Alain Pagani, René Schuster, Zeshan Afzal
We are very happy that our paper “CLEO: Continual Learning of Evolving Ontologies” has been accepted to the European Conference on Computer Vision (ECCV). A preprint of our work can be found here. A short video is available on YouTube. The paper is a joint work with ZF Friedrichshafen AG and describes some results of our collaboration.
We are proud to announce that our paper “RMS-FlowNet++: Efficient and Robust Multi-scale Scene Flow Estimation for Large-Scale Point Clouds” by Ramy Battrawy, René Schuster, and Didier Stricker has been published in the International Journal of Computer Vision (IJCV). The online version of the paper can be found here a preprint is available here. The paper extends our previous work on efficient scene flow estimation in dense point clouds that has been published at ICRA 2022.
The 6th workshop on Safe Artificial Intelligence for All Domains was held this year in conjunction with CVPR in Seattle. René Schuster is a permanent member of the program committee since 2020.
Congratulations to Ramy Battrawy for his best poster Award at BMVC 2023, https://bmvc2023.org, for his paper.
“EgoFlowNet: Non-Rigid Scene Flow from Point Clouds with Ego-Motion Support”
Ramy Battrawy (DFKI),* René Schuster (DFKI), Didier Stricker (DFKI), BMVC 2023
Please check the paper and the video under: https://proceedings.bmvc2023.org/441/
On March 18th, 2022, René Schuster successfully defended his dissertation entitled “Data-driven and Sparse-to-Dense Concepts in Scene Flow Estimation for Automotive Applications”. The reviewers were Prof. Dr. Didier Stricker (Technical University of Kaiserslautern) and Prof. Dr. Andrés Bruhn (University of Stuttgart). Mr. Schuster received his doctorate from the Department of Computer Science at the Technical University of Kaiserslautern.
In his thesis, Mr. Schuster worked on three-dimensional motion estimation of the dynamic environment of vehicles. The focus was on machine learning methods, and the interpolation of individual estimates into a dense motion field. A particular challenge was the scarcity of annotated data for this problem and use case.
René Schuster received an M. Sc. in computational engineering from Darmstadt University of Technology in 2017. He then moved to DFKI to join the augmented reality group of Prof. Stricker. Much of his research was done in collaborative projects with BMW.
We are happy to announce that our project DECODE has been accepted for the Nvidia Academic Hardware Grant. Nvidia will support our research in the field of human motion estimation and semantic reconstruction by donating a Nvidia A100 GPU for data centers. We will use the new hardware to accelerate our experiments for continual learning.
We are happy to announce that our paper “Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching” has been accepted to the CSCS 2021!
The Computer Science in Cars Symposium (CSCS) is ACM’s flagship event in the field of Car IT. The goal is to bring together scientists, engineers, business representatives, and anyone who shares a passion for solving the myriad of complex problems in vehicle technology and their application to automation, driver and vehicle safety, and driving system safety.
In our work, we place stereo matching in a coarse-to-fine estimation framework to improve runtime and memory requirements while maintaining accuracy. This multiscale framework is tested for two state-of-the-art stereo networks and shows significant improvements in runtime, computational complexity, and memory requirements.
Link to preprint: https://arxiv.org/abs/2110.12769
Title: Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching
Authors: Kumail Raza, René Schuster, Didier Stricker