Jan Hendrik Metzen

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 53

Top Venues

CoRR

ICCV

ICLR

Int. J. Comput. Assist. Radiol. Surg.

University of Bremen (PHD)

Education History

University of Bremen

PHD

Publications

Niclas Popp, Jan Hendrik Metzen, Matthias Hein
Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data. CoRR (2024)
Xiaoyan Xing, Vincent Tao Hu, Jan Hendrik Metzen, Konrad Groh, Sezer Karaoglu, Theo Gevers
Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory. CoRR (2024)
Valentyn Boreiko, Matthias Hein, Jan Hendrik Metzen
Identification of Fine-grained Systematic Errors via Controlled Scene Generation. CoRR (2024)
Tim Tarsi, Heike Adel, Jan Hendrik Metzen, Dan Zhang, Matteo Finco, Annemarie Friedrich
SciOL and MuLMS-Img: Introducing A Large-Scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain. WACV (2024)
Jiayi Wang, Kevin Alexander Laube, Yumeng Li, Jan Hendrik Metzen, Shin-I Cheng, Julio Borges, Anna Khoreva
Label-free Neural Semantic Image Synthesis. CoRR (2024)
Valentyn Boreiko, Matthias Hein, Jan Hendrik Metzen
Identifying Systematic Errors in Object Detectors with the SCROD Pipeline. CoRR (2023)
Jan Hendrik Metzen, Robin Hutmacher, N. Grace Hua, Valentyn Boreiko, Dan Zhang
Identification of Systematic Errors of Image Classifiers on Rare Subgroups. ICCV (2023)
Jan Hendrik Metzen, Piyapat Saranrittichai, Chaithanya Kumar Mummadi
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models. CoRR (2023)
Valentyn Boreiko, Matthias Hein, Jan Hendrik Metzen
Identifying Systematic Errors in Object Detectors with the SCROD Pipeline. ICCV (Workshops) (2023)
Jan Hendrik Metzen, Robin Hutmacher, N. Grace Hua, Valentyn Boreiko, Dan Zhang
Identification of Systematic Errors of Image Classifiers on Rare Subgroups. CoRR (2023)
Maksym Yatsura, Kaspar Sakmann, N. Grace Hua, Matthias Hein, Jan Hendrik Metzen
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation. ICLR (2023)
Rohit Mohan, Thomas Elsken, Arber Zela, Jan Hendrik Metzen, Benedikt Staffler, Thomas Brox, Abhinav Valada, Frank Hutter
Neural Architecture Search for Dense Prediction Tasks in Computer Vision. Int. J. Comput. Vis. 131 (7) (2023)
Thomas Elsken, Arber Zela, Jan Hendrik Metzen, Benedikt Staffler, Thomas Brox, Abhinav Valada, Frank Hutter
Neural Architecture Search for Dense Prediction Tasks in Computer Vision. CoRR (2022)
Giulio Lovisotto, Nicole Finnie, Mauricio Munoz, Chaithanya Kumar Mummadi, Jan Hendrik Metzen
Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness. CoRR (2022)
Giulio Lovisotto, Nicole Finnie, Mauricio Munoz, Chaithanya Kumar Mummadi, Jan Hendrik Metzen
Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness. CVPR (2022)
Maksym Yatsura, Kaspar Sakmann, N. Grace Hua, Matthias Hein, Jan Hendrik Metzen
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation. CoRR (2022)
Jan Hendrik Metzen, Maksym Yatsura
Efficient Certified Defenses Against Patch Attacks on Image Classifiers. ICLR (2021)
Chaithanya Kumar Mummadi, Robin Hutmacher, Kilian Rambach, Evgeny Levinkov, Thomas Brox, Jan Hendrik Metzen
Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation. CoRR (2021)
Maksym Yatsura, Jan Hendrik Metzen, Matthias Hein
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks. CoRR (2021)
Jan Hendrik Metzen, Nicole Finnie, Robin Hutmacher
Meta Adversarial Training. CoRR (2021)
Chaithanya Kumar Mummadi, Ranjitha Subramaniam, Robin Hutmacher, Julien Vitay, Volker Fischer, Jan Hendrik Metzen
Does enhanced shape bias improve neural network robustness to common corruptions? ICLR (2021)
Thomas Elsken, Benedikt Staffler, Arber Zela, Jan Hendrik Metzen, Frank Hutter
Bag of Tricks for Neural Architecture Search. CoRR (2021)
Chaithanya Kumar Mummadi, Ranjitha Subramaniam, Robin Hutmacher, Julien Vitay, Volker Fischer, Jan Hendrik Metzen
Does enhanced shape bias improve neural network robustness to common corruptions? CoRR (2021)
Jan Hendrik Metzen, Maksym Yatsura
Efficient Certified Defenses Against Patch Attacks on Image Classifiers. CoRR (2021)
Maksym Yatsura, Jan Hendrik Metzen, Matthias Hein
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks. NeurIPS (2021)
Christoph Kamann, Burkhard Güssefeld, Robin Hutmacher, Jan Hendrik Metzen, Carsten Rother
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers. CoRR (2020)
Thomas Elsken, Benedikt Staffler, Jan Hendrik Metzen, Frank Hutter
Meta-Learning of Neural Architectures for Few-Shot Learning. CVPR (2020)
Sadaf Gulshad, Jan Hendrik Metzen, Arnold W. M. Smeulders
Adversarial and Natural Perturbations for General Robustness. CoRR (2020)
Sadaf Gulshad, Jan Hendrik Metzen, Arnold W. M. Smeulders, Zeynep Akata
Interpreting Adversarial Examples with Attributes. CoRR (2019)
Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
Neural Architecture Search: A Survey. J. Mach. Learn. Res. 20 (2019)
Sadaf Gulshad, Zeynep Akata, Jan Hendrik Metzen, Arnold W. M. Smeulders
Understanding Misclassifications by Attributes. CoRR (2019)
Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen
Defending Against Universal Perturbations With Shared Adversarial Training. ICCV (2019)
Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution. ICLR (Poster) (2019)
Thomas Elsken, Benedikt Staffler, Jan Hendrik Metzen, Frank Hutter
Meta-Learning of Neural Architectures for Few-Shot Learning. CoRR (2019)
Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
Simple and efficient architecture search for Convolutional Neural Networks. ICLR (Workshop) (2018)
Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
Neural Architecture Search: A Survey. CoRR (2018)
Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
Multi-objective Architecture Search for CNNs. CoRR (2018)
Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter
Scaling provable adversarial defenses. NeurIPS (2018)
Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter
Scaling provable adversarial defenses. CoRR (2018)
Lisa Gutzeit, Alexander Fabisch, Marc Otto, Jan Hendrik Metzen, Jonas Hansen, Frank Kirchner, Elsa Andrea Kirchner
The BesMan Learning Platform for Automated Robot Skill Learning. Frontiers Robotics AI 5 (2018)
Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen
Defending against Universal Perturbations with Shared Adversarial Training. CoRR (2018)
Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox
Adversarial Examples for Semantic Image Segmentation. CoRR (2017)
Jan Hendrik Metzen, Tim Genewein, Volker Fischer, Bastian Bischoff
On Detecting Adversarial Perturbations. ICLR (Poster) (2017)
Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox
Adversarial Examples for Semantic Image Segmentation. ICLR (Workshop) (2017)
Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer
Universal Adversarial Perturbations Against Semantic Image Segmentation. CoRR (2017)
Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer
Universal Adversarial Perturbations Against Semantic Image Segmentation. ICCV (2017)
Jan Hendrik Metzen, Tim Genewein, Volker Fischer, Bastian Bischoff
On Detecting Adversarial Perturbations. CoRR (2017)
Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
Simple And Efficient Architecture Search for Convolutional Neural Networks. CoRR (2017)
Jan Hendrik Metzen
Minimum Regret Search for Single- and Multi-Task Optimization. CoRR (2016)
Emmanuel B. Vander Poorten, Phuong Toan Tran, Alain Devreker, Caspar Gruijthuijsen, Sergio Portolés Diez, Gabrijel Smoljkic, Vule Strbac, Nele Famaey, Dominiek Reynaerts, Jos Vander Sloten, Abraham Temesgen Tibebu, Bingbin Yu, Christian Rauch, Felix Bernard, Yohannes Kassahun, Jan Hendrik Metzen, Stamatia Giannarou, Liang Zhao, Su-Lin Lee, Guang-Zhong Yang, Evangelos B. Mazomenos, Ping-Lin Chang, Danail Stoyanov, Maryna Kvasnytsia, Joris Van Deun, Eva Verhoelst, Mauro M. Sette, Anita Di Iasio, Giovanni Leo, Fabian Hertner, Daniel Scherly, Leandro Chelini, Nicolai Häni, Dejan Seatovic, Benoît Rosa, Herbert De Praetere, Paul Herijgers
Cognitive AutonomouS CAtheters Operating in Dynamic Environments. J. Medical Robotics Res. 1 (3) (2016)
Yohannes Kassahun, Bingbin Yu, Abraham Temesgen Tibebu, Danail Stoyanov, Stamatia Giannarou, Jan Hendrik Metzen, Emmanuel B. Vander Poorten
Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions. Int. J. Comput. Assist. Radiol. Surg. 11 (4) (2016)
Jan Hendrik Metzen
Minimum Regret Search for Single- and Multi-Task Optimization. ICML (2016)
Yohannes Kassahun, Bingbin Yu, Abraham Temesgen Tibebu, Danail Stoyanov, Stamatia Giannarou, Jan Hendrik Metzen, Emmanuel B. Vander Poorten
Erratum to: Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions. Int. J. Comput. Assist. Radiol. Surg. 11 (5) (2016)
Tim Tiedemann, Thomas Vögele, Mario Michael Krell, Jan Hendrik Metzen, Frank Kirchner
Concept of a Data Thread Based Parking Space Occupancy Prediction in a Berlin Pilot Region. AAAI Workshop: AI for Transportation (2015)
Elsa Andrea Kirchner, Jose de Gea Fernandez, Peter Kampmann, Martin Schröer, Jan Hendrik Metzen, Frank Kirchner
Intuitive Interaction with Robots - Technical Approaches and Challenges. SyDe Summer School (2015)
Jan Hendrik Metzen
Active Contextual Entropy Search. CoRR (2015)
Alexander Fabisch, Jan Hendrik Metzen, Mario Michael Krell, Frank Kirchner
Accounting for Task-Difficulty in Active Multi-Task Robot Control Learning. Künstliche Intell. 29 (4) (2015)
Alexander Fabisch, Jan Hendrik Metzen
Active contextual policy search. J. Mach. Learn. Res. 15 (1) (2014)
Lisa Senger, Martin Schröer, Jan Hendrik Metzen, Elsa Andrea Kirchner
Velocity-Based Multiple Change-Point Inference for Unsupervised Segmentation of Human Movement Behavior. ICPR (2014)
Jan Hendrik Metzen, Alexander Fabisch, Lisa Senger, Jose de Gea Fernandez, Elsa Andrea Kirchner
Towards Learning of Generic Skills for Robotic Manipulation. Künstliche Intell. 28 (1) (2014)
Jan Hendrik Metzen, Frank Kirchner
Incremental learning of skill collections based on intrinsic motivation. Frontiers Neurorobotics 7 (2013)
Jan Hendrik Metzen
Learning Graph-Based Representations for Continuous Reinforcement Learning Domains. ECML/PKDD (1) (2013)
Mario Michael Krell, Sirko Straube, Anett Seeland, Hendrik Wöhrle, Johannes Teiwes, Jan Hendrik Metzen, Elsa Andrea Kirchner, Frank Kirchner
pySPACE - a signal processing and classification environment in Python. Frontiers Neuroinformatics 7 (2013)
Jan Hendrik Metzen
Online Skill Discovery using Graph-based Clustering. EWRL (2012)
Jan Hendrik Metzen, Su Kyoung Kim, Elsa Andrea Kirchner
Minimizing Calibration Time for Brain Reading. DAGM-Symposium (2011)
Jan Hendrik Metzen, Frank Kirchner
Model-based direct policy search. AAMAS (2010)
Jan Hendrik Metzen, Elsa Andrea Kirchner, Larbi Abdenebaoui, Frank Kirchner
Learning to Play the BRIO Labyrinth Game. Künstliche Intell. 23 (3) (2009)
Jan Hendrik Metzen, Tim Kröger, Andrea Schenk, Stephan Zidowitz, Heinz-Otto Peitgen, Xiaoyi Jiang
Matching of anatomical tree structures for registration of medical images. Image Vis. Comput. 27 (7) (2009)
Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner
Evolving Neural Networks for Online Reinforcement Learning. PPSN (2008)
Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner
Analysis of an evolutionary reinforcement learning method in a multiagent domain. AAMAS (1) (2008)
Yohannes Kassahun, Jose de Gea, Jan Hendrik Metzen, Mark Edgington, Frank Kirchner
EANT+KALMAN: An Efficient Reinforcement Learning Method for Continuous State Partially Observable Domains. KI (2008)
Malte Römmermann, Mark Edgington, Jan Hendrik Metzen, Jose de Gea, Yohannes Kassahun, Frank Kirchner
Learning Walking Patterns for Kinematically Complex Robots Using Evolution Strategies. PPSN (2008)
Yohannes Kassahun, Jose de Gea, Mark Edgington, Jan Hendrik Metzen, Frank Kirchner
Accelerating neuroevolutionary methods using a Kalman filter. GECCO (2008)
Jan Hendrik Metzen, Frank Kirchner, Mark Edgington, Yohannes Kassahun
Towards efficient online reinforcement learning using neuroevolution. GECCO (2008)
Jan Hendrik Metzen, Tim Kröger, Andrea Schenk, Stephan Zidowitz, Heinz-Otto Peitgen, Xiaoyi Jiang
Matching of Tree Structures for Registration of Medical Images. GbRPR (2007)
Yohannes Kassahun, Jan Hendrik Metzen, Jose de Gea, Mark Edgington, Frank Kirchner
A General Framework for Encoding and Evolving Neural Networks. KI (2007)
Yohannes Kassahun, Mark Edgington, Jan Hendrik Metzen, Gerald Sommer, Frank Kirchner
A common genetic encoding for both direct and indirect encodings of networks. GECCO (2007)
Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner
Performance evaluation of EANT in the robocup keepaway benchmark. ICMLA (2007)
Jan Hendrik Metzen, Tim Kröger, Andrea Schenk, Stephan Zidowitz, Heinz-Otto Peitgen, Xiaoyi Jiang
Matching von Baumstrukturen. Bildverarbeitung für die Medizin (2007)
Jens Müller, Jan Hendrik Metzen, Alexander Ploss, Maraike Schellmann, Sergei Gorlatch
Rokkatan: scaling an RTS game design to the massively multiplayer realm. Advances in Computer Entertainment Technology (2005)
Jan Hendrik Metzen, Alexander Ploss, Maraike Schellmann
Rokkatan - ein massiv mehrspielerfähiges Echtzeitspiel. Informatiktage (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jan Hendrik Metzen