Stephan Alaniz is an assistant professor in the Multimedia group at Télécom Paris, Institut Polytechnique de Paris. Previously, he was a post-doctoral researcher and deputy head of the Explainable Machine Learning group at Helmholtz Munich and Technical University of Munich. He received his Ph.D. in 2022 which was partially done at the University of Amsterdam, the Max Planck Institute for Informatics, and the University of Tübingen, under the supervision of Prof. Zeynep Akata and Prof. Bernt Schiele. He published at CVPR, ECCV, ICCV, ICLR, and NeurIPS with a research focus on explainable AI and multi-modal learning with vision and language.
FLAIR: VLM with Fine-grained Language-informed Image Representations
Rui Xiao, Sanghwan Kim, Mariana-Iuliana Georgescu, Zeynep Akata, Stephan Alaniz
CVPR 2025
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
Sanghwan Kim, Rui Xiao, Mariana-Iuliana Georgescu, Stephan Alaniz, Zeynep Akata
CVPR 2025
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
Leander Girrbach, Stephan Alaniz, Yiran Huang, Trevor Darrell, Zeynep Akata
ICLR 2025
How should the advancement of large language models affect the practice of science?
Marcel Binz*, Stephan Alaniz*, Adina Roskies, Balazs Aczel, Carl T. Bergstrom, Colin Allen, Daniel Schad, Dirk Wulff, Jevin D. West, Qiong Zhang, Richard M. Shiffrin, Samuel J. Gershman, Ven Popov, Emily M. Bender, Marco Marelli, Matthew M. Botvinick, Zeynep Akata, Eric Schulz
PNAS, 2025
DataDream: Few-shot Guided Dataset Generation
Jae Myung Kim, Jessica Bader, Stephan Alaniz, Cordelia Schmid, Zeynep Akata
ECCV 2024
In-Context Impersonation Reveals Large Language Models' Strengths and Biases
Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz and Zeynep Akata
NeurIPS 2023 (spotlight)
Iterative Superquadric Recomposition of 3D Objects from Multiple Views
Stephan Alaniz, Massimiliano Mancini, and Zeynep Akata
ICCV 2023
PDiscoNet: Semantically consistent part discovery for fine-grained recognition
Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cassio Dantas, Dino Ienco, Zeynep Akata, Diego Marcos
ICCV 2023
DeViL: Decoding Vision features into Language
Meghal Dani*, Isabel Rio-Torto*, Stephan Alaniz, and Zeynep Akata
GCPR 2023 (oral)
Abstracting Sketches through Simple Primitives
Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata
ECCV 2022
Compositional Mixture Representations for Vision and Text
Stephan Alaniz, Marco Federici, Zeynep Akata
CVPR-W 2022 (L3D-IVU)
Semantic Image Synthesis with Semantically Coupled VQ-Model
Stephan Alaniz*, Thomas Hummel*, Zeynep Akata
ICLR-W 2022 (DGM4HSD)
Learning Decision Trees Recurrently Through Communication
Stephan Alaniz, Diego Marcos, Bernt Schiele, Zeynep Akata
CVPR 2021
Modeling Conceptual Understanding in Image Reference Games
Rodolfo Corona*, Stephan Alaniz*, Zeynep Akata
NeurIPS 2019
Deep Reinforcement Learning with Model Learning and Monte Carlo Tree Search in Minecraft
Stephan Alaniz
RLDM 2017
* denotes equal contribution