Workshop on Reliability of Vision and Multi-Modal Models in the Real World
NeurIPS 2025 Workshop V3M
Reviewers
We are extremely grateful to all our reviewers.
- Simon Schrodi: He is a Ph.D. candidate at Prof. Dr. Thomas Brox's Computer Vision Group at Albert-Ludwigs Universität Freiburg. He has published at and reviewed for multiple top-tier venues such as ICML, NeurIPS, CVPR, etc. His research interests are Interpretability/
Explainability, Robustness, Correspondence tasks, and Neural Architecture Search. - Katharina Prasse: She is a Ph.D. candidate in the Chair for Machine Learning at the University of Mannheim supervised by Prof. Dr. Margret Keuper. Her research interests are computer vision in climate change-related applications and the application of multi-modal vision foundation models.
- Mishal Fatima: She is a Ph.D. candidate in the Chair for Machine Learning at the University of Mannheim supervised by Prof. Dr. Margret Keuper. Her research interests are optimizing sensor-related parameters jointly with vision models under the context of robustness and reliability. Additionally, she works towards applications and study of multi-modal vision foundation models. She has published papers at and reviewed for top-tier conferences such as NeurIPS, ICML, and others.
- Tejaswini Medi: She is a Ph.D. candidate in the Chair for Machine Learning at the University of Mannheim supervised by Prof. Dr. Margret Keuper. Her research interests are 3D generative models and the robustness and reliability of vision models. She has published papers at ICCV, and GCPR.
- Steffen Jung: He is a Ph.D. candidate in the Chair for Machine Learning at the University of Mannheim supervised by Prof. Dr. Margret Keuper and affiliated with the Max Planck Institute for Informatics, Saarbrücken. His research interests are Image Generation, Robustness, and Learning for Combinatorial Optimization in Computer Vision. He has published at and reviewed for multiple top-tier venues like AAAI, NeurIPS, ICLR, ICCV, ECCV, CVPR, ICML, and others.
- Hendrik Sommerhoff: He is a Ph.D. candidate at the Computer Graphics Group at the University of Siegen supervised by Prof. Dr. Andreas Kolb. His research interests are computer graphics and optimizing sensor parameters for simulations of real-world scenarios. He has published at and has reviewed for multiple top-tier venues such as NeurIPS, ICCP, and others.
- Dr. Kanchana Vaishnavi Gandikota: She is a post-doctoral researcher at Prof. Dr. Michael Möller's Computer Vision Group at the University of Siegen. Her research interests are adversarial robustness and joint optimization of sensor parameters and deep neural networks. She has published at and has reviewed for multiple top-tier venues such as CVPR, ECCV, ICCV, and others.
- Yushi Liu: She is a Ph.D. candidate at the Bosch Center for Artificial Intelligence (BCAI) and is co-supervised by Prof. Dr. Margret Keuper. Her research interests are vision for robots and their reliability for real-world applications. She works with multi-modal vision foundation models for robotic applications.
- Yuxuan Zhou: He is a Ph.D. candidate at the CISPA Helmholtz Center for Information Security, Saarbrücken co-supervised by Prof. Dr. Mario Fritz and Prof. Dr. Margret Keuper. His interests include conducting innovative application-oriented research on multi-modal vision foundation models under the context of reliability and security in real-world applications. He has published at and reviewed for multiple top-tier venues such as ICML, NeurIPS, ICCV, BMVC, and others.
- Jiawen Xu: She is a PhD candidate at Technische Universität Berlin supervised by Prof. Dr. Ing. Odej Kao and a visiting student in Prof. Dr. Margret Keuper's Chair for Machine Learning at the University of Mannheim. Her research interests include out-of-distribution detection, continual learning, and model generalization. She has published at and reviewed for ICCV and NeurIPS.
- Selim Kuzucu: He is a Ph.D. candidate at Max Planck Institute for Informatics, Saarbrücken supervised by Prof. Dr. Bernt Schiele. His research interest is visual perception, further focusing on robustness, uncertainty, and fairness. He has published at and reviewed for top-tier venues such as IJCAI, and ECCV.
- Ada Görgün: She is a Ph.D. candidate at Prof. Dr. Bernt Schiele's D2 Group at Max Planck Institute for Informatics, Saarbrücken supervised by Prof. Dr. Jonas Fischer. Her research interests are explainability and robustness of vision models as well as human alignment of the decision-making process of Deep Learning models. She has published at BMVC and reviewed for multiple top-tier conferences and workshops such as ECCV, ICML, and others.
- Siddhartha Gairola: He is an ELLIS Ph.D. candidate at Max Planck Institute for Informatics, Saarbrücken and Institute of Science and Technology, Austria co-supervised by Prof. Dr. Bernt Schiele and Prof. Dr. Francesco Locatello. His research interests are the Interpretability and Robustness of Deep Neural Networks and Learning Powerful (unsupervised) Object-Centric Representations using multi-modal vision foundation models. He has published at and reviewed for top-tier venues such as IJCAI, WACV, International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC) and others.
- Robin Hesse: He is a Ph.D. candidate at the Visual Inference Lab at TU Darmstadt, supervised by Prof. Dr. Stefan Roth. His research focuses on narrowing the gap between human and machine intelligence, especially in the context of visual perception. To this end, he studies methods of explainable artificial intelligence. He has published at and reviewed for top-tier venues such as NeurIPS, CVPR, ICCV, and ECCV and was recognized as an Outstanding Reviewer for ECCV 2024.
- Gabi Kadlecová: She is a Ph.D. student at Charles University in Prague supervised by Mgr. Roman Neruda, CSc. Her research interests are Neural Architecture Search and zero-cost proxies and she has worked towards their correlation with robustness. She has published at and reviewed for top-tier venues such as ICML, AutoML Conference, and others.
- Dr. Jovita Lukasik: She is a post-doctoral researcher at the Computer Vision Group at the University of Siegen headed by Prof. Dr. Michael Möller. Her research interests are Neural Architecture Search and their entanglement with adversarial and OOD robustness. She has published at and reviewed for multiple top-tier venues such as ICML, ICLR, ICCV, ECCV, and others. She has served as the publication chair for ECCV 2024, and been a panelist at the AutoML Conference in 2023 and 2024.
- Dr. Anna Kukleva: She is a post-doctoral researcher at the Multimodal Learning Group at the Tuebingen AI Center headed by Prof. Dr. Hilde Kuehne. Her research focuses on image and multi-modal video recognition, with a specific interest in learning representations through self-supervised, semi-supervised, and rarely fully-supervised methods. She has published at and reviewed for multiple top-tier venues such as ICML, ICLR, ICCV, ECCV, and others.