Search Results for author: Stephan Alaniz

Found 11 papers, 6 papers with code

Iterative Superquadric Recomposition of 3D Objects from Multiple Views

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.

Inductive Bias Object

DeViL: Decoding Vision features into Language

1 code implementation4 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.

Decision Making Language Modelling

In-Context Impersonation Reveals Large Language Models' Strengths and Biases

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.

Semantic Image Synthesis with Semantically Coupled VQ-Model

no code implementations6 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.

Image Generation Unconditional Image Generation

Abstracting Sketches through Simple Primitives

1 code implementation27 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.

Retrieval Sketch-Based Image Retrieval +1

Compositional Mixture Representations for Vision and Text

no code implementations13 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.

object-detection Representation Learning +1

Modeling Conceptual Understanding in Image Reference Games

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.

Attribute

Learning Decision Trees Recurrently Through Communication

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.

Decision Making Image Classification

Deep Reinforcement Learning with Model Learning and Monte Carlo Tree Search in Minecraft

no code implementations22 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.

Reinforcement Learning (RL)

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