| 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, 72044-72057, 2023 | 136 | 2023 |
| A survey on attention mechanisms for medical applications: are we moving toward better Algorithms? T Gonçalves, I Rio-Torto, LF Teixeira, JS Cardoso IEEE Access 10, 98909-98935, 2022 | 51 | 2022 |
| Understanding the decisions of CNNs: an in-model approach I Rio-Torto, K Fernandes, LF Teixeira Pattern Recognition Letters, 2020 | 29 | 2020 |
| Automatic quality inspection in the automotive industry: a hierarchical approach using simulated data I Rio-Torto, AT Campaniço, A Pereira, LF Teixeira, V Filipe 2021 IEEE 8th International Conference on Industrial Engineering and …, 2021 | 15 | 2021 |
| Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical Caption 2023. I Rio-Torto, C Patrício, H Montenegro, T Gonçalves, JS Cardoso CLEF (Working Notes), 1653-1667, 2023 | 7 | 2023 |
| Hybrid Quality Inspection for the Automotive Industry: Replacing the Paper-Based Conformity List through Semi-Supervised Object Detection and Simulated Data I Rio-Torto, AT Campaniço, P Pinho, V Filipe, LF Teixeira Applied Sciences 12 (11), 5687, 2022 | 6 | 2022 |
| DeViL: Decoding Vision features into Language M Dani, I Rio-Torto, S Alaniz, Z Akata DAGM German Conference on Pattern Recognition, 363-377, 2023 | 3 | 2023 |
| Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical 2022 Caption. I Rio-Torto, C Patrício, H Montenegro, T Gonçalves CLEF (Working Notes), 1535-1553, 2022 | 3 | 2022 |
| Towards a Joint Approach to Produce Decisions and Explanations Using CNNs I Rio-Torto, K Fernandes, LF Teixeira Pattern Recognition and Image Analysis: 9th Iberian Conference, IbPRIA 2019 …, 2019 | 3 | 2019 |
| Evaluating privacy on synthetic images generated using gans: Contributions of the vcmi team to imageclefmedical gans 2023 H Montenegro, P Neto, C Patrício, I Rio-Torto, T Gonçalves, LF Teixeira Challenge, 8, 2023 | 2 | 2023 |
| Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition E Castro, PM Ferreira, A Rebelo, I Rio-Torto, L Capozzi, MF Ferreira, ... Machine vision and applications 34 (1), 16, 2023 | 2 | 2023 |
| A survey on attention mechanisms for medical applications: are we moving towards better algorithms?(2022) T Gonçalves, I Rio-Torto, LF Teixeira, JS Cardoso | 2 | 2022 |
| Producing Decisions and Explanations: A Joint Approach Towards Explainable CNNs ICRT de Oliveira PQDT-Global, 2019 | 2 | 2019 |
| Parameter-Efficient Generation of Natural Language Explanations for Chest X-ray Classification I Rio-Torto, JS Cardoso, LF Teixeira Medical Imaging with Deep Learning, 2024 | 1 | 2024 |
| From Captions to Explanations: A Multimodal Transformer-based Architecture for Natural Language Explanation Generation I Rio-Torto, JS Cardoso, LF Teixeira Iberian Conference on Pattern Recognition and Image Analysis, 54-65, 2022 | 1 | 2022 |
| Improving automatic quality inspection in the automotive industry by combining simulated and real data P Pinho, I Rio-Torto, LF Teixeira 16th International Symposium on Visual Computing, 2021 | 1 | 2021 |
| CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification C Patrício, I Rio-Torto, JS Cardoso, LF Teixeira, JC Neves arXiv preprint arXiv:2501.12266, 2025 | | 2025 |
| On the Suitability of B-cos Networks for the Medical Domain I Rio-Torto, T Gonçalves, JS Cardoso, LF Teixeira 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | | 2024 |
| Check for updates From Captions to Explanations: A Multimodal Transformer-based Architecture for Natural Language I Rio-Torto, JS Cardoso¹, LF Teixeira Pattern Recognition and Image Analysis: 10th Iberian Conference, IbPRIA 2022 …, 2022 | | 2022 |
| Gender Bias in Vision-Language Assistants L Girrbach, Y Huang, I Rio-Torto, S Alaniz, T Darrell, Z Akata ECCV 2024 Workshop The Dark Side of Generative AIs and Beyond, 0 | | |
Luis F. TeixeiraAssociate Professor, Universidade do Porto在 fe.up.pt 的电子邮件经过验证