logo Idiap Research Institute        
All publications
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 |

2022
Towards Protecting Face Embeddings in Mobile Face Verification Scenarios, Vedrana Krivokuca and Sébastien Marcel, in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 4(1):117-134, 2022
attachment
[DOI]
Social Robot Co-Design Canvases: A Participatory Design Framework, Minja Axelsson, Raquel Oliveira, Mattia Racca and V. Kyrki, in: ACM Transactions on Human-Robot Interaction, 11(1), 2022
attachment
[DOI]
[URL]
Robust Unsupervised Gaze Calibration using Conversation and Manipulation Attention Priors, Remy Siegfried and Jean-Marc Odobez, in: ACM Transactions on Multimedia Computing, Communications, and Applications, 18(1):26, 2022
attachment
[DOI]
[URL]
Who Sees What? Examining Urban Impressions in Global South Cities, Luis Emmanuel Medina Rios, Salvador Ruiz-Correa, Darshan Santani and Daniel Gatica-Perez, in: Human Perception of Visual Information: Psychological and Computational Perspectives, Springer, 2022
attachment
2021
The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task, James Barry, Alireza Mohammadshahi, Joachim Wagner, Jennifer Foster and James Henderson, in: Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies, Online, pages 204-212, Association for Computational Linguistics, 2021
attachment
Gradient-based Methods for Deep Model Interpretability, Suraj Srinivas, École polytechnique fédérale de Lausanne, 2021
attachment
[DOI]
An Attention Mechanism for Deep Q-Networks with Applications in Robotic Pushing, Marco Ewerton, Sylvain Calinon and Jean-Marc Odobez, in: Proc. of Workshop on Emerging paradigms for robotic manipulation: from the lab to the productive world, ICRA, 2021
Improving Generalization of Deepfake Detection with Data Farming and Few-Shot Learning, Pavel Korshunov and Sébastien Marcel, in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021
attachment
Multi-Adversarial Learning for Cross-Lingual Word Embeddings, Haozhou Wang, James Henderson and Paola Merlo, in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Online, pages 463-472, 2021
Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning, Christos Theodoropoulos, James Henderson, Andrei Catalin Coman and Marie-Francine Moens, in: Proceedings of the 25th Conference on Computational Natural Language Learning, Online, pages 337-348, Association for Computational Linguistics, 2021
DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation, Mohammad Mahdi Johari, Camilla Carta and Francois Fleuret, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pages 6039-6048, 2021
[URL]
Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement, Alireza Mohammadshahi and James Henderson, in: Transactions of the Association for Computational Linguistics (2021), 9:18, 2021
attachment
[DOI]
[URL]
Fairness in Biometrics: a figure of merit to assess biometric verification systems, Tiago de Freitas Pereira and Sébastien Marcel, in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021
attachment
[DOI]
What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP, Oskar Wysocki, Malina Florea, Donal Landers and Andre Freitas, in: EMNLP, 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders, Giangiacomo Mercatali and Andre Freitas, in: The 2021 Conference on Empirical Methods in Natural Language Processing, 2021
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 |