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Leonard Salewski
Leonard Salewski
PhD Student - International Max Planck Research School for Intelligent Systems, Universität Tübingen
Verified email at uni-tuebingen.de
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e-vil: A dataset and benchmark for natural language explanations in vision-language tasks
M Kayser, OM Camburu, L Salewski, C Emde, V Do, Z Akata, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
822021
In-Context Impersonation Reveals Large Language Models' Strengths and Biases
L Salewski, S Alaniz, I Rio-Torto, E Schulz, Z Akata
Advances in Neural Information Processing Systems 36, 2024
632024
Clevr-x: A visual reasoning dataset for natural language explanations
L Salewski, AS Koepke, HPA Lensch, Z Akata
xxAI-Beyond Explainable AI: International Workshop, Held in Conjunction with …, 2022
252022
Relational generalized few-shot learning
X Shi, L Salewski, M Schiegg, Z Akata, M Welling
arXiv preprint arXiv:1907.09557, 2019
252019
Zero-shot audio captioning with audio-language model guidance and audio context keywords
L Salewski, S Fauth, AS Koepke, Z Akata
42023
Zero-shot Translation of Attention Patterns in VQA Models to Natural Language
L Salewski, AS Koepke, HPA Lensch, Z Akata
DAGM German Conference on Pattern Recognition, 2023
12023
Diverse Video Captioning by Adaptive Spatio-temporal Attention
Z Ghaderi, L Salewski, HPA Lensch
DAGM German Conference on Pattern Recognition, 409-425, 2022
12022
Adapting a base classifier to novel classes
X Shi, M Schiegg, L Salewski, M Welling, Z Akata
US Patent 11,481,649, 2022
2022
Supplementary Materials: In-Context Impersonation Reveals Large Language Models’ Strengths and Biases
L Salewski, S Alaniz, I Rio-Torto, E Schulz, Z Akata
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Articles 1–9