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2020 – today
- 2024
[c9]Jae Myung Kim, Jessica Bader, Stephan Alaniz, Cordelia Schmid, Zeynep Akata:
DataDream: Few-Shot Guided Dataset Generation. ECCV (71) 2024: 252-268- [i13]Jae Myung Kim, Jessica Bader, Stephan Alaniz, Cordelia Schmid, Zeynep Akata:
DataDream: Few-shot Guided Dataset Generation. CoRR abs/2407.10910 (2024) - [i12]Leander Girrbach, Yiran Huang, Stephan Alaniz, Trevor Darrell, Zeynep Akata:
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs). CoRR abs/2410.19314 (2024) - 2023
- [c8]Meghal Dani
, Isabel Rio-Torto, Stephan Alaniz, Zeynep Akata:
DeViL: Decoding Vision features into Language. DAGM 2023: 363-377 - [c7]Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio Fraga Dantas, Dino Ienco, Zeynep Akata, Diego Marcos:
PDiscoNet: Semantically consistent part discovery for fine-grained recognition. ICCV 2023: 1866-1876 - [c6]Stephan Alaniz, Massimiliano Mancini, Zeynep Akata:
Iterative Superquadric Recomposition of 3D Objects from Multiple Views. ICCV 2023: 17967-17977 - [c5]Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata:
In-Context Impersonation Reveals Large Language Models' Strengths and Biases. NeurIPS 2023 - [i11]Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata:
In-Context Impersonation Reveals Large Language Models' Strengths and Biases. CoRR abs/2305.14930 (2023) - [i10]Meghal Dani, Isabel Rio-Torto, Stephan Alaniz, Zeynep Akata:
DeViL: Decoding Vision features into Language. CoRR abs/2309.01617 (2023) - [i9]Stephan Alaniz, Massimiliano Mancini, Zeynep Akata:
Iterative Superquadric Recomposition of 3D Objects from Multiple Views. CoRR abs/2309.02102 (2023) - [i8]Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio F. Dantas, Dino Ienco, Zeynep Akata, Diego Marcos:
PDiscoNet: Semantically consistent part discovery for fine-grained recognition. CoRR abs/2309.03173 (2023) - [i7]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:
How should the advent of large language models affect the practice of science? CoRR abs/2312.03759 (2023) - 2022
- [b1]Stephan Alaniz:
Explainability in Deep Learning by Means of Communication. University of Tübingen, Germany, 2022 - [c4]Stephan Alaniz, Marco Federici, Zeynep Akata:
Compositional Mixture Representations for Vision and Text. CVPR Workshops 2022: 4201-4210 - [c3]Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata:
Abstracting Sketches Through Simple Primitives. ECCV (29) 2022: 396-412 - [i6]Stephan Alaniz, Marco Federici, Zeynep Akata:
Compositional Mixture Representations for Vision and Text. CoRR abs/2206.06404 (2022) - [i5]Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata:
Abstracting Sketches through Simple Primitives. CoRR abs/2207.13543 (2022) - [i4]Stephan Alaniz, Thomas Hummel, Zeynep Akata:
Semantic Image Synthesis with Semantically Coupled VQ-Model. CoRR abs/2209.02536 (2022) - 2021
- [c2]Stephan Alaniz, Diego Marcos, Bernt Schiele, Zeynep Akata:
Learning Decision Trees Recurrently Through Communication. CVPR 2021: 13518-13527
2010 – 2019
- 2019
- [c1]Rodolfo Corona, Stephan Alaniz, Zeynep Akata:
Modeling Conceptual Understanding in Image Reference Games. NeurIPS 2019: 13155-13165 - [i3]Stephan Alaniz, Zeynep Akata:
XOC: Explainable Observer-Classifier for Explainable Binary Decisions. CoRR abs/1902.01780 (2019) - [i2]Rodolfo Corona, Stephan Alaniz, Zeynep Akata:
Modeling Conceptual Understanding in Image Reference Games. CoRR abs/1910.04872 (2019) - 2018
- [i1]Stephan Alaniz:
Deep Reinforcement Learning with Model Learning and Monte Carlo Tree Search in Minecraft. CoRR abs/1803.08456 (2018)
Coauthor Index
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last updated on 2024-11-30 00:17 CET by the dblp team
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