Metzen, Jan Hendrik

24 publications

ICLRW 2025 Foundation Model-Based Data Selection for Dense Prediction Tasks Niclas Popp, Dan Zhang, Jan Hendrik Metzen, Matthias Hein, Lukas Schott

TMLR 2024 AutoCLIP: Auto-Tuning Zero-Shot Classifiers for Vision-Language Models Jan Hendrik Metzen, Piyapat Saranrittichai, Chaithanya Kumar Mummadi

TMLR 2024 Feature Distillation Improves Zero-Shot Transfer from Synthetic Images Niclas Popp, Jan Hendrik Metzen, Matthias Hein

ECCV 2024 Label-Free Neural Semantic Image Synthesis Jiayi Wang, Kevin A Laube, Yumeng Li, Jan Hendrik Metzen, Shin-I Cheng, Julio Borges, Anna Khoreva

ICLRW 2024 Label-Free Neural Semantic Image Synthesis Jiayi Wang, Kevin Alexander Laube, Yumeng Li, Jan Hendrik Metzen, Shin-I Cheng, Julio Borges, Anna Khoreva

WACV 2024 SciOL and MuLMS-Img: Introducing a Large-Scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain Tim Tarsi, Heike Adel, Jan Hendrik Metzen, Dan Zhang, Matteo Finco, Annemarie Friedrich

ICLR 2023 Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation Maksym Yatsura, Kaspar Sakmann, N. Grace Hua, Matthias Hein, Jan Hendrik Metzen

ICCV 2023 Identification of Systematic Errors of Image Classifiers on Rare Subgroups Jan Hendrik Metzen, Robin Hutmacher, N. Grace Hua, Valentyn Boreiko, Dan Zhang

ICCVW 2023 Identifying Systematic Errors in Object Detectors with the SCROD Pipeline Valentyn Boreiko, Matthias Hein, Jan Hendrik Metzen

NeurIPSW 2022 Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation Maksym Yatsura, Kaspar Sakmann, N. Grace Hua, Matthias Hein, Jan Hendrik Metzen

NeurIPSW 2022 Denoised Smoothing with Sample Rejection for Robustifying Pretrained Classifiers Fatemeh Sheikholeslami, Wan-Yi Lin, Jan Hendrik Metzen, Huan Zhang, J Zico Kolter

CVPR 2022 Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness Giulio Lovisotto, Nicole Finnie, Mauricio Munoz, Chaithanya Kumar Mummadi, Jan Hendrik Metzen

ICLR 2021 Does Enhanced Shape Bias Improve Neural Network Robustness to Common Corruptions? Chaithanya Kumar Mummadi, Ranjitha Subramaniam, Robin Hutmacher, Julien Vitay, Volker Fischer, Jan Hendrik Metzen

ICLR 2021 Efficient Certified Defenses Against Patch Attacks on Image Classifiers Jan Hendrik Metzen, Maksym Yatsura

ICMLW 2021 Meta Adversarial Training Against Universal Patches Jan Hendrik Metzen, Nicole Finnie, Robin Hutmacher

ICLR 2019 Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution Thomas Elsken, Jan Hendrik Metzen, Frank Hutter

JMLR 2019 Neural Architecture Search: A Survey Thomas Elsken, Jan Hendrik Metzen, Frank Hutter

NeurIPS 2018 Scaling Provable Adversarial Defenses Eric Wong, Frank Schmidt, Jan Hendrik Metzen, J. Zico Kolter

ICLR 2017 Adversarial Examples for Semantic Image Segmentation Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox

ICLR 2017 On Detecting Adversarial Perturbations Jan Hendrik Metzen, Tim Genewein, Volker Fischer, Bastian Bischoff

ICCV 2017 Universal Adversarial Perturbations Against Semantic Image Segmentation Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer

ICML 2016 Minimum Regret Search for Single- and Multi-Task Optimization Jan Hendrik Metzen

JMLR 2014 Active Contextual Policy Search Alexander Fabisch, Jan Hendrik Metzen

ECML-PKDD 2013 Learning Graph-Based Representations for Continuous Reinforcement Learning Domains Jan Hendrik Metzen