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ORCIDJan Hendrik Metzen
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2020 – today
- 2024
[c38]Jiayi Wang, Kevin Alexander Laube, Yumeng Li, Jan Hendrik Metzen, Shin-I Cheng, Julio Borges, Anna Khoreva:
Label-Free Neural Semantic Image Synthesis. ECCV (53) 2024: 391-407- [c37]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: 4548-4559 - [i32]Valentyn Boreiko, Matthias Hein, Jan Hendrik Metzen:
Identification of Fine-grained Systematic Errors via Controlled Scene Generation. CoRR abs/2404.07045 (2024) - [i31]Niclas Popp, Jan Hendrik Metzen, Matthias Hein:
Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data. CoRR abs/2404.16637 (2024) - [i30]Jiayi Wang, Kevin Alexander Laube, Yumeng Li, Jan Hendrik Metzen, Shin-I Cheng, Julio Borges, Anna Khoreva:
Label-free Neural Semantic Image Synthesis. CoRR abs/2407.01790 (2024) - [i29]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 abs/2407.20785 (2024) - [i28]Niclas Popp, Dan Zhang, Jan Hendrik Metzen, Matthias Hein, Lukas Schott:
Object-Focused Data Selection for Dense Prediction Tasks. CoRR abs/2412.10032 (2024) - 2023
- [j13]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): 1784-1807 (2023) - [c36]Jan Hendrik Metzen, Robin Hutmacher, N. Grace Hua, Valentyn Boreiko, Dan Zhang:
Identification of Systematic Errors of Image Classifiers on Rare Subgroups. ICCV 2023: 5041-5050 - [c35]Valentyn Boreiko, Matthias Hein, Jan Hendrik Metzen:
Identifying Systematic Errors in Object Detectors with the SCROD Pipeline. ICCV (Workshops) 2023: 4092-4101 - [c34]Maksym Yatsura, Kaspar Sakmann, N. Grace Hua, Matthias Hein, Jan Hendrik Metzen:
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation. ICLR 2023 - [i27]Jan Hendrik Metzen, Robin Hutmacher, N. Grace Hua, Valentyn Boreiko, Dan Zhang:
Identification of Systematic Errors of Image Classifiers on Rare Subgroups. CoRR abs/2303.05072 (2023) - [i26]Valentyn Boreiko, Matthias Hein, Jan Hendrik Metzen:
Identifying Systematic Errors in Object Detectors with the SCROD Pipeline. CoRR abs/2309.13489 (2023) - [i25]Jan Hendrik Metzen, Piyapat Saranrittichai, Chaithanya Kumar Mummadi:
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models. CoRR abs/2309.16414 (2023) - 2022
- [c33]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: 15213-15222 - [i24]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 abs/2202.07242 (2022) - [i23]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 abs/2203.13639 (2022) - [i22]Maksym Yatsura, Kaspar Sakmann, N. Grace Hua, Matthias Hein, Jan Hendrik Metzen:
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation. CoRR abs/2209.05980 (2022) - 2021
- [c32]Jan Hendrik Metzen, Maksym Yatsura:
Efficient Certified Defenses Against Patch Attacks on Image Classifiers. ICLR 2021 - [c31]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 - [c30]Maksym Yatsura, Jan Hendrik Metzen, Matthias Hein:
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks. NeurIPS 2021: 30181-30195 - [i21]Jan Hendrik Metzen, Nicole Finnie, Robin Hutmacher:
Meta Adversarial Training. CoRR abs/2101.11453 (2021) - [i20]Jan Hendrik Metzen, Maksym Yatsura:
Efficient Certified Defenses Against Patch Attacks on Image Classifiers. CoRR abs/2102.04154 (2021) - [i19]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 abs/2104.09789 (2021) - [i18]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 abs/2106.14999 (2021) - [i17]Thomas Elsken, Benedikt Staffler, Arber Zela, Jan Hendrik Metzen, Frank Hutter:
Bag of Tricks for Neural Architecture Search. CoRR abs/2107.03719 (2021) - [i16]Maksym Yatsura, Jan Hendrik Metzen, Matthias Hein:
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks. CoRR abs/2111.01714 (2021) - 2020
- [c29]Thomas Elsken, Benedikt Staffler, Jan Hendrik Metzen, Frank Hutter:
Meta-Learning of Neural Architectures for Few-Shot Learning. CVPR 2020: 12362-12372 - [i15]Sadaf Gulshad, Jan Hendrik Metzen, Arnold W. M. Smeulders:
Adversarial and Natural Perturbations for General Robustness. CoRR abs/2010.01401 (2020) - [i14]Christoph Kamann, Burkhard Güssefeld, Robin Hutmacher, Jan Hendrik Metzen, Carsten Rother:
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers. CoRR abs/2010.05495 (2020)
2010 – 2019
- 2019
- [j12]Thomas Elsken, Jan Hendrik Metzen, Frank Hutter:
Neural Architecture Search: A Survey. J. Mach. Learn. Res. 20: 55:1-55:21 (2019) - [c28]Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen:
Defending Against Universal Perturbations With Shared Adversarial Training. ICCV 2019: 4927-4936 - [c27]Thomas Elsken, Jan Hendrik Metzen, Frank Hutter:
Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution. ICLR (Poster) 2019 - [p1]Thomas Elsken, Jan Hendrik Metzen, Frank Hutter:
Neural Architecture Search. Automated Machine Learning 2019: 63-77 - [i13]Sadaf Gulshad, Jan Hendrik Metzen, Arnold W. M. Smeulders, Zeynep Akata:
Interpreting Adversarial Examples with Attributes. CoRR abs/1904.08279 (2019) - [i12]Sadaf Gulshad, Zeynep Akata, Jan Hendrik Metzen, Arnold W. M. Smeulders:
Understanding Misclassifications by Attributes. CoRR abs/1910.07416 (2019) - [i11]Thomas Elsken, Benedikt Staffler, Jan Hendrik Metzen, Frank Hutter:
Meta-Learning of Neural Architectures for Few-Shot Learning. CoRR abs/1911.11090 (2019) - 2018
- [j11]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: 43 (2018) - [c26]Thomas Elsken, Jan Hendrik Metzen, Frank Hutter:
Simple and efficient architecture search for Convolutional Neural Networks. ICLR (Workshop) 2018 - [c25]Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter:
Scaling provable adversarial defenses. NeurIPS 2018: 8410-8419 - [i10]Thomas Elsken, Jan Hendrik Metzen, Frank Hutter:
Multi-objective Architecture Search for CNNs. CoRR abs/1804.09081 (2018) - [i9]Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter:
Scaling provable adversarial defenses. CoRR abs/1805.12514 (2018) - [i8]Thomas Elsken, Jan Hendrik Metzen, Frank Hutter:
Neural Architecture Search: A Survey. CoRR abs/1808.05377 (2018) - [i7]Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen:
Defending against Universal Perturbations with Shared Adversarial Training. CoRR abs/1812.03705 (2018) - 2017
- [c24]Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer:
Universal Adversarial Perturbations Against Semantic Image Segmentation. ICCV 2017: 2774-2783 - [c23]Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox:
Adversarial Examples for Semantic Image Segmentation. ICLR (Workshop) 2017 - [c22]Jan Hendrik Metzen, Tim Genewein, Volker Fischer, Bastian Bischoff:
On Detecting Adversarial Perturbations. ICLR (Poster) 2017 - [i6]Jan Hendrik Metzen, Tim Genewein, Volker Fischer, Bastian Bischoff:
On Detecting Adversarial Perturbations. CoRR abs/1702.04267 (2017) - [i5]Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox:
Adversarial Examples for Semantic Image Segmentation. CoRR abs/1703.01101 (2017) - [i4]Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer:
Universal Adversarial Perturbations Against Semantic Image Segmentation. CoRR abs/1704.05712 (2017) - [i3]Thomas Elsken, Jan Hendrik Metzen, Frank Hutter:
Simple And Efficient Architecture Search for Convolutional Neural Networks. CoRR abs/1711.04528 (2017) - 2016
- [j10]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): 553-568 (2016) - [j9]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): 847 (2016) - [j8]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): 1640011:1-1640011:25 (2016) - [c21]Jan Hendrik Metzen:
Minimum Regret Search for Single- and Multi-Task Optimization. ICML 2016: 192-200 - [i2]Jan Hendrik Metzen:
Minimum Regret Search for Single- and Multi-Task Optimization. CoRR abs/1602.01064 (2016) - 2015
- [j7]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): 369-377 (2015) - [c20]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 - [c19]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: 224-248 - [i1]Jan Hendrik Metzen:
Active Contextual Entropy Search. CoRR abs/1511.04211 (2015) - 2014
- [b1]Jan Hendrik Metzen:
Learning the Structure of Continuous Markov Decision Processes. University of Bremen, 2014 - [j6]Alexander Fabisch, Jan Hendrik Metzen:
Active contextual policy search. J. Mach. Learn. Res. 15(1): 3371-3399 (2014) - [j5]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): 15-20 (2014) - [c18]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: 4564-4569 - 2013
- [j4]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: 40 (2013) - [j3]Jan Hendrik Metzen, Frank Kirchner:
Incremental learning of skill collections based on intrinsic motivation. Frontiers Neurorobotics 7: 11 (2013) - [c17]Jan Hendrik Metzen:
Learning Graph-Based Representations for Continuous Reinforcement Learning Domains. ECML/PKDD (1) 2013: 81-96 - 2012
- [c16]Jan Hendrik Metzen:
Online Skill Discovery using Graph-based Clustering. EWRL 2012: 77-88 - 2011
- [c15]Jan Hendrik Metzen, Su Kyoung Kim, Elsa Andrea Kirchner:
Minimizing Calibration Time for Brain Reading. DAGM-Symposium 2011: 366-375 - 2010
- [c14]Jan Hendrik Metzen, Frank Kirchner:
Model-based direct policy search. AAMAS 2010: 1589-1590
2000 – 2009
- 2009
- [j2]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): 923-933 (2009) - [j1]Jan Hendrik Metzen, Elsa Andrea Kirchner, Larbi Abdenebaoui, Frank Kirchner:
Learning to Play the BRIO Labyrinth Game. Künstliche Intell. 23(3): 34-37 (2009) - 2008
- [c13]Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner:
Analysis of an evolutionary reinforcement learning method in a multiagent domain. AAMAS (1) 2008: 291-298 - [c12]Yohannes Kassahun, Jose de Gea, Mark Edgington, Jan Hendrik Metzen, Frank Kirchner:
Accelerating neuroevolutionary methods using a Kalman filter. GECCO 2008: 1397-1404 - [c11]Jan Hendrik Metzen, Frank Kirchner, Mark Edgington, Yohannes Kassahun:
Towards efficient online reinforcement learning using neuroevolution. GECCO 2008: 1425-1426 - [c10]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: 241-248 - [c9]Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner:
Evolving Neural Networks for Online Reinforcement Learning. PPSN 2008: 518-527 - [c8]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: 1091-1100 - 2007
- [c7]Jan Hendrik Metzen, Tim Kröger, Andrea Schenk, Stephan Zidowitz, Heinz-Otto Peitgen, Xiaoyi Jiang:
Matching von Baumstrukturen. Bildverarbeitung für die Medizin 2007: 116-120 - [c6]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: 13-24 - [c5]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: 1029-1036 - [c4]Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner:
Performance evaluation of EANT in the robocup keepaway benchmark. ICMLA 2007: 342-347 - [c3]Yohannes Kassahun, Jan Hendrik Metzen, Jose de Gea, Mark Edgington, Frank Kirchner:
A General Framework for Encoding and Evolving Neural Networks. KI 2007: 205-219 - 2005
- [c2]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: 125-132 - [c1]Jan Hendrik Metzen, Alexander Ploss, Maraike Schellmann:
Rokkatan - ein massiv mehrspielerfähiges Echtzeitspiel. Informatiktage 2005: 109-112
Coauthor Index
Chaithanya Kumar Mummadi
aka: Mummadi Chaithanya Kumar
aka: Mummadi Chaithanya Kumar
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