no code implementations • 5 Dec 2023 • 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
For this opinion piece, we have invited four diverse groups of scientists to reflect on this query, sharing their perspectives and engaging in debate.
1 code implementation • ICCV 2023 • Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cassio F. Dantas, Dino Ienco, Zeynep Akata, Diego Marcos
Fine-grained classification often requires recognizing specific object parts, such as beak shape and wing patterns for birds.
1 code implementation • ICCV 2023 • Stephan Alaniz, Massimiliano Mancini, Zeynep Akata
We propose a framework, ISCO, to recompose an object using 3D superquadrics as semantic parts directly from 2D views without training a model that uses 3D supervision.
1 code implementation • 4 Sep 2023 • Meghal Dani, Isabel Rio-Torto, Stephan Alaniz, Zeynep Akata
We demonstrate that DeViL generates textual descriptions relevant to the image content on CC3M surpassing previous lightweight captioning models and attribution maps uncovering the learned concepts of the vision backbone.
1 code implementation • NeurIPS 2023 • Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata
These findings demonstrate that LLMs are capable of taking on diverse roles and that this in-context impersonation can be used to uncover their hidden strengths and biases.
no code implementations • 6 Sep 2022 • Stephan Alaniz, Thomas Hummel, Zeynep Akata
Semantic image synthesis enables control over unconditional image generation by allowing guidance on what is being generated.
1 code implementation • 27 Jul 2022 • Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata
Toward equipping machines with such capabilities, we propose the Primitive-based Sketch Abstraction task where the goal is to represent sketches using a fixed set of drawing primitives under the influence of a budget.
no code implementations • 13 Jun 2022 • Stephan Alaniz, Marco Federici, Zeynep Akata
Learning a common representation space between vision and language allows deep networks to relate objects in the image to the corresponding semantic meaning.
1 code implementation • NeurIPS 2019 • Rodolfo Corona, Stephan Alaniz, Zeynep Akata
An agent who interacts with a wide population of other agents needs to be aware that there may be variations in their understanding of the world.
no code implementations • CVPR 2021 • Stephan Alaniz, Diego Marcos, Bernt Schiele, Zeynep Akata
Integrated interpretability without sacrificing the prediction accuracy of decision making algorithms has the potential of greatly improving their value to the user.
no code implementations • 22 Mar 2018 • Stephan Alaniz
On the proposed task in Minecraft, our model-based approach reaches the performance comparable to the Deep Q-Network's, but learns faster and, thus, is more training sample efficient.