Isabel Rio-Torto

According to our database, Isabel Rio-Torto authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition.

Eduardo Castro, Pedro M. Ferreira, Ana Rebelo, Isabel Rio-Torto, Leonardo Capozzi, Mafalda Falcão Ferreira, Tiago Gonçalves, Tomé Albuquerque, Wilson Silva, Carolina Afonso, Ricardo Gamelas Sousa, Claudio Cimarelli, Nadia Daoudi, Gabriel Moreira, Hsiu-Yu Yang, Ingrid Hrga, Javed Ahmad, Monish Keswani, Sofia C. Beco

Mach. Vis. Appl., 2023

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

Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DeViL: Decoding Vision features into Language.

Meghal Dani, Isabel Rio-Torto, Stephan Alaniz, Zeynep Akata

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical Caption 2023.

Isabel Rio-Torto, Cristiano Patrício, Helena Montenegro, Tiago Gonçalves, Jaime S. Cardoso

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Evaluating Privacy on Synthetic Images Generated using GANs: Contributions of the VCMI Team to ImageCLEFmedical GANs 2023.

Helena Montenegro, Pedro C. Neto, Cristiano Patrício, Isabel Rio-Torto, Tiago Gonçalves, Luís F. Teixeira

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022

A survey on attention mechanisms for medical applications: are we moving towards better algorithms?

Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira, Jaime S. Cardoso

CoRR, 2022

A Survey on Attention Mechanisms for Medical Applications: are we Moving Toward Better Algorithms?

Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira, Jaime S. Cardoso

IEEE Access, 2022

From Captions to Explanations: A Multimodal Transformer-based Architecture for Natural Language Explanation Generation.

Isabel Rio-Torto, Jaime S. Cardoso, Luís F. Teixeira

Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical 2022 Caption.

Isabel Rio-Torto, Cristiano Patrício, Helena Montenegro, Tiago Gonçalves

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Improving Automatic Quality Inspection in the Automotive Industry by Combining Simulated and Real Data.

Pedro Pinho, Isabel Rio-Torto, Luís F. Teixeira

Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

2020

Understanding the decisions of CNNs: An in-model approach.

Isabel Rio-Torto, Kelwin Fernandes, Luís F. Teixeira

Pattern Recognit. Lett., 2020

2019

Towards a Joint Approach to Produce Decisions and Explanations Using CNNs.

Isabel Rio-Torto, Kelwin Fernandes, Luís F. Teixeira

Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019