News

Mohammad Mahdi Chamseddine successfully finishes his PhD

On 14 October 2026, Mohammad Mahdi Chamseddine successfully defended his doctoral thesis entitled “Multi-Sensor Point Cloud Learning for 3D Scene Perception and Modelling”.

The doctoral thesis was written in the “Augmented Vision” department at DFKI under the supervision of Prof. Dr Didier Stricker and Dr.-Ing. Jason Raphael Rambach.

The examination board/examiners consisted of Prof. Dr Didier Stricker (RPTU), Prof. Dr Sophie Fellenz (RPTU), Prof. Dr Moses Ganardi (RPTU) and Prof. Dr Benjamin Busam (TUM).

Shashank Mishra Recognized as Top Reviewer at NeurIPS 2026

Shashank Mishra and René Schuster from the Augmented Vision department at DFKI have been recognized as a Top Reviewers at NeurIPS 2026, one of the leading international conferences in machine learning and artificial intelligence.

This recognition acknowledges their contribution to the scientific peer-review process through high-quality and constructive reviews, supporting the evaluation and advancement of research in machine learning.

Contact: Shashank Mishra

ECML PKDD 2026 Paper Accepted for Oral Presentation on Explainable Root Cause Analysis

Our paper, “Conditional Attribution for Root Cause Analysis in Time-Series Anomaly Detection,” by Shashank Mishra, Karan Patil, Cedric Schockaert, Didier Stricker, and Jason Rambach, was accepted for an oral presentation at ECML PKDD 2026, held in Naples, Italy, from September 7 to 11, 2026. Shashank Mishra presented the work at the conference.

The paper introduces a novel conditional attribution framework for identifying the sensors responsible for anomalies in multivariate time-series data. By comparing anomalous observations with contextually similar normal system states, the proposed approach preserves dependencies between sensors and provides more reliable explanations. Experiments on industrial benchmark datasets demonstrate improvements in root cause identification, temporal localization, and robustness.

Paper: https://link.springer.com/chapter/10.1007/978-3-032-37685-5_10

Code: https://github.com/dfki-av/Conditional-Attribution-for-Root-Cause-Analysis-in-Time-Series-Anomaly-Detection

Contact: Shashank Mishra

Two Augmented Vision researchers selected as Outstanding Reviewers at ECCV 2026

Dr. Jason Rambach and Dr. Alain Pagani from the Augmented Vision department have been selected as Outstanding Reviewers at the European Conference on Computer Vision, ECCV 2026.

The distinction recognizes reviewers who provided particularly high-quality and valuable reviews during the conference reviewing process. Being selected as an Outstanding Reviewer reflects the researchers’ contribution to maintaining the scientific quality of one of the leading international conferences in computer vision.

The Augmented Vision department congratulates Dr. Jason Rambach and Dr. Alain Pagani on this recognition.

Contact: Dr. Alain Pagani

              Dr. Jason Rambach

Augmented Vision presents at Meta’s Egocentric Intelligence Research Summit

We are pleased to announce that DFKI’s Augmented Vision department was invited to Meta Reality Labs in Redmond, WA, to present our Project Aria work at the third Egocentric Intelligence Research Summit. Project Aria is Meta’s research platform for egocentric perception; display-free sensor glasses that let academic partners collect first-person data for work in machine perception, contextual AI, and augmented reality.

Shreedhar Govil and Shaoxiang Wang represented the department, giving a talk and poster presentation on DriverGaze360 and EgoForce. We look forward to continuing our collaboration with Meta and thank them for access to this data collection tool and research community.

Contact: shreedhar.govil@dfki.de and shaoxiang.wang@dfki.de  

3 Papers Accepted at the ICPR Conference


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

AV receives multiple Reviewer Awards at CVPR and ICML 

Several researchers of the Augmented Vision department have recently received prestigious reviewer awards from the leading computer vision and machine learning conferences. 

4 AV members (Dr. Jason Rambach, Dr. Alain Pagani, Shaoxiang Wang and Yaxu Xie) have received the Outstanding Reviewer of the CVPR 2026 conference, given to the top 6.1% out of 25.149 reviewers. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision event.  CVPR 2026 will be held in Denver, CO, from June 3rd to 7th, 2026. 

The complete list of outstanding reviewers for this year can be accessed HERE 

List of all AV papers to be presented at CVPR. 

In addition, Shashank Mishra has received the Gold Reviewer award of the ICML conference, given to the top 25% reviewers. The International Conference on Machine Learning (ICML) is the premier Machine Learning conference world-wide. ICML 2026 will be held Seoul, South Korea, from July 6th to 11th, 2026.    

 
Contact: Dr. Jason Rambach, Dr. Alain Pagani 

4th Workshop on AI and Robotics in Construction at ERF 2026

Dr. Jason Rambach, served as the main organizer and moderator of the 4th workshop on “AI and Robotics in Construction” at the European Robotics Forum 2026 in Stavanger, Norway (23.3-27.3) supported by the projects of Tech4Construction cluster and the EuRobotics Topic group Construction.

The workshop included presentations on the current state of 6 EU Horizon projects on construction robotics (Beeyonders, RobetArme, ShieldBoT, Target-X, XSCAVE, DISCOVER), followed by a round table and interactive session with the audience on the challenges and opportunities of robotic projects in construction.

Workshop schedule: https://shieldbot.eu/shieldbot-at-the-european-robotics-forum-2026-workshop-on-robotics-and-ai-with-the-tech4euconstruction-projects/

Contact: Dr. Jason Rambach

Project ShieldBoT (EU Horizon) started

Elgoibar (Spain), 20 November 2025 – The ShieldBot project – Next-Generation Robotics for Sustainable and Efficient Thermal Shielding of Buildings – officially launched with a kick-off meeting on 4-5 of November 2025 at the premises of IDEKO Research Centre, the project coordinator, in Elgoibar (Basque Country), Spain.

Funded by the Horizon Europe programme with EUR 4 million and set to run over three years, ShieldBot brings together 11 partners from six European countries. The consortium ambitions to revolutionise how buildings are constructed, renovated, and maintained through the use of advanced, sustainable robotics.

In response to Europe’s growing demand for energy-efficient and sustainable buildings, ShieldBot aims to bridge the gap between traditional construction methods and modern sustainability standards. The project will develop and validate a new generation of robotic systems specifically designed for the construction, renovation, and maintenance of buildings, enabling greater efficiency, safety, and environmental performance.

At its core, ShieldBot focuses on three key robotic platforms: Façade-ShieldBot, which installs thermal shielding on building façades to improve insulation and reduce energy consumption; Inner-ShieldBot, designed for internal construction work to enhance the thermal performance of walls and ceilings, and Inspection-ShieldBot, equipped with advanced sensors to assess exteriors, identify structural or insulation needs, and ensure long-term building integrity.

These robotic systems are supported by Digi-Shield, a digital twin platform that aggregates and analyses data from on-site operations, enabling real-time decision-making and precise project planning. Moreover, the use of Eco-Shield materials, innovative, eco-friendly insulation solutions, will further minimise the carbon footprint of construction activities.

ShieldBot’s vision extends beyond automation. A strong emphasis is placed on human–robot collaboration, ensuring that technology complements human expertise rather than replacing it. This synergy will enhance workforce safety, productivity, and efficiency, while supporting the transition towards greener and smarter construction processes.

The project’s activities will be structured across three main research areas: disruptive robotic solutions for the construction industry, advanced robot functionalities for construction and renovation works, and advanced construction site technologies. In the context of these research areas, three demonstration cases will be carried out: interior wall and ceiling construction in office buildings, inspection and maintenance of exterior building façades, and exterior façade insulation of multi-family dwellings.

The ShieldBot consortium in charge of demonstrating the three use cases unites expertise from leading research institutions, universities, and industrial partners across Europe, coordinated by IDEKO (Spain). They are:  Deutsches Forschungszentrum für Künstliche Intelligenz GmbH – DFKI (Germany), University of Nottingham – Rolls-Royce UTC (UK), Nantes Université (France), CNRS – LS2N Laboratory (France), Robotnik Automation SL (Spain), Bouygues Construction SA (France), Rheinland-Pfälzische Technische Universität – RPTU (Germany), Neo-Eco Development (France), Neo-Eco Ukraine LLC (Ukraine), and MTÜ AUSTRALO Alpha Lab (Estonia).

By combining cutting-edge robotics, artificial intelligence, and sustainable materials, ShieldBot will set a new benchmark for efficiency and environmental responsibility in construction. The project’s outcomes are expected to contribute significantly to the European Green Deal’s objectives and the broader digital and green transformation of the built environment.

Contact: Dr. Jason Rambach

Paper presented at IROS 2025

Sai Srinivas Jeevanandam represented DFKI Augmented Vision at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), held in Hangzhou, China from October 19 to 25 and presented the paper:

JENGA: Object selection and pose estimation for robotic grasping from a stack
Sai Srinivas Jeevanandam, Sandeep Prudhvi Krishna Inuganti, Shreedhar Govil, Didier Stricker, Jason Raphael Rambach

Contact: Dr. Jason Raphael Rambach

3 Papers presented at EUSIPCO 2025

The Augmented Vision department presented 3 publications at the 33rd European Signal Processing Conference (EUSIPCO 2025), held in Isola delle Femmine – Palermo – Italy, on September 8-12, 2025.

The 3 presented publications were:

ParticleSAM: Small Particle Segmentation for Material Quality Monitoring in Recycling Processes, Yu Zhou, Pelle Thielmann, Ayush Chamoli, Bruno Mirbach, Didier Stricker, Jason Raphael Rambach

A Multi-Camera Vision-Based Approach for Fine-Grained Assembly Quality Control
Shashank Mishra, Ali Nazeri, Achim Wagner, Martin Ruskowski, Didier Stricker, Jason Raphael Rambach

MISTI: Multi-Style Transfer for Multivariate Time Series
Henri Hoyez, Bruno Mirbach, Cedric Schockaert, Jason Raphael Rambach, Didier Stricker

Contact: Jason Raphael Rambach

SPADE Workshop at the IV 2025 Conference

DFKI Augmented Vision was a co-organizer of the SPADE Workshop at the 36th IEEE Intelligent Vehicles Symposium at Cluj-Napoca, Romania on June 22-25, 2025.

SPADE stands for Secure, Privacy-Aware Naturalistic Driving Data for Future Mobility Insights from Structured and Unstructured Environments. The workshop had a full-day schedule consisting of invited talks and submitted papers, all with thematic relation to the BERTHA EU Horizon Project.

On-site, the workshop was chaired by Dr. Jason Rambach (DFKI AV), Prof. Dr. Antonio M. López (CVC) and Dr. Ayesha Choudhary (Jawaharlal Nehru University). Workshop schedule: https://berthaproject.eu/spade-workshop-driving-data-future-mobility/

Contact: Dr. Jason Rambach

DFKI Augmented Vision at CVPR 2025

The Augmented Vision department had a strong presence at the IEEE Computer Vision and Pattern Recognition CVPR 2025 conference with contributions to the main conference, workshops, and challenges:

Main Conference Paper
MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content Creation
By: Sankalp Sinha, Mohammad Sadil Khan, Muhammad Usama, Shino Sam, Didier Stricker, Dr. Sk Aziz Ali, Muhammad Zeshan Afzal
Project: https://sankalpsinha-cmos.github.io/MARVEL/

Workshop Papers
ToF-360: A Panoramic Time-of-Flight RGB-D Dataset for Single-Capture Indoor Semantic 3D Reconstruction
By: Hideaki Kanayama, Mahdi Chamseddine, Suresh Guttikonda, So Okumura, Soichiro Yokota, Didier Stricker, Jason Rambach
Dataset: https://huggingface.co/datasets/COLE-Ricoh/ToF-360

CACP: Context-Aware Copy-Paste to Enrich Image Content for Data Augmentation
By: Qiushi Guo, Shaoxiang Wang, Chun-Peng Chang, Jason Rambach
PDF:https://www.dfki.de/fileadmin/user_upload/import/15782_cacp_cvpr_workshop.pdf

Towards Unconstrained 2D Pose Estimation of the Human Spine
By: Muhammad Saif Ullah Khan, Stephan Krauß, Didier Stricker
PDF: https://www.dfki.de/fileadmin/user_upload/import/15804_2025116268.pdf

Challenges & Awards
OpenCV Perception Challenge – Bin-Picking Track (7th place)
By: Sai Srinivas Jeevanandam, Jason Rambach
Info: https://bpc.opencv.org/

Outstanding CVPR Reviewer Award
Jason Rambach



Dr. Jason Rambach is a CVPR 2025 Outstanding Reviewer

Dr. Jason Rambach, was honored as an Outstanding Reviewer of the CVPR 2025 conference, selected among the top 5% of the 9872 total reviewers.

The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision event.  CVPR 2025 will be held in Nashville, TN, from June 11th to June 15th 2025.

The complete list of outstanding reviewers for this year can be accessed HERE.

HumanTech Project Final General Assembly Meeting

The consortium of the HumanTech project, under the coordination of DFKI Augmented Vision – Dr. Jason Rambach,  had its final in-person General Assembly meeting in Madrid, Spain on the 30-31st January 2025. The meeting was hosted in the premises of the project partner ACCIONA. All project partners had an opportunity to experience live demonstrations of the HumanTech technologies bringing AI and Robots to construction sites, such as intention-activated exoskeletons for construction workers and collaborative brick-laying robots.

The HumanTech project is ending in May 2025 with several success stories such as:

  • 5 innovative pilot deployments of HumanTech technologies.
  • 15+ scientific publications including top computer vision and robotics journals and conferences.
  • 5 awards for DFKI in International challenges in object pose estimation and Scan-to-BIM.
  • Building a vibrant community for AI in Construction, the Tech4Construction cluster.

For more on HumanTech: https://humantech-horizon.eu/news/

Contact: Dr. Jason Rambach

Article in IEEE Transactions on Image Processing (TIP) Journal

Our article “Resolving Symmetry Ambiguity in Correspondence-based Methods for Instance-level Object Pose Estimation” was published in the prestigious Transactions on Image Processing (TIP) Journal. The work is a collaboration of DFKI with Zhejiang University. The article is openly accessible at: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10906413        

Yongliang Lin, Yongzhi Su, Sandeep Inuganti, Yan Di, Naeem Ajilforoushan, Hanqing Yang, Yu Zhang, Jason Rambach. “Resolving Symmetry Ambiguity in Correspondence-based Methods for Instance-level Object Pose Estimation” IEEE Transaction on Image Processing (2025).

Contact: Dr. Jason Rambach

Invited Talk of Dr. Jason Rambach at the NEM Summit 2024

Dr. Jason Rambach, gave a talk on “Building Virtual Worlds with 3D Sensing and AI” at the NEM Summit 2024 in Brussels on the 23.10.2024. The presentation was part of the AI for Virtual Worlds session organized by Future Artificial Intelligence Research (FAIR). The presentation with results from the Project HumanTech and various XR projects based on object pose estimation technology from DFKI, was followed by an exciting panel discussion.                                                

Contact: Dr. Jason Rambach

HumanTech General Assembly Meeting: Advancing AI in Construction at TUS Athlone Campus, Ireland

The HumanTech project, under the coordination of DFKI Augmented Vision – Dr. Jason Rambach, has reached another key milestone with a highly productive General Assembly Meeting held from 5 to 6 September 2024 at the Technological University of the Shannon (TUS), Athlone Campus, Ireland. As the project is on its final path toward completion next year, this meeting marked an important step in aligning strategies and objectives for the remaining phases.

The overall status of the project shows that everything is progressing as planned, with the pilots well on track and providing a solid foundation for both achieving the current project goals and supporting future research and development initiatives. Additionally, participants enjoyed a guided tour and live demonstration at TUS’s state-of-the-art robotics department, showcasing cutting-edge technology that will play a crucial role in advancing AI applications in the construction industry.

For more on HumanTech: https://humantech-horizon.eu/news/

Contact: Dr. Jason Rambach