Sign Pose-Based Transformer for Word-Level Sign Language Recognition M Boháček, M Hrúz Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 39 | 2022 |
Mutual support of data modalities in the task of sign language recognition I Gruber, Z Krnoul, M Hrúz, J Kanis, M Bohacek Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 9 | 2021 |
One Model is Not Enough: Ensembles for Isolated Sign Language Recognition M Hrúz, I Gruber, J Kanis, M Boháček, M Hlaváč, Z Krňoul Sensors 22 (13), 5043, 2022 | 7 | 2022 |
Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms M Boháček, H Farid Proceedings of the National Academy of Sciences 119 (48), e2216035119, 2022 | 3 | 2022 |
Protecting President Zelenskyy against Deep Fakes M Boháček, H Farid arXiv preprint arXiv:2206.12043, 2022 | 3 | 2022 |
Learning from What is Already Out There: Few-shot Sign Language Recognition with Online Dictionaries M Bohacek, M Hrúz 2023 IEEE 17th International Conference on Automatic Face and Gesture …, 2023 | 1 | 2023 |
Fine-grained Czech News Article Dataset: An Interdisciplinary Approach to Trustworthiness Analysis M Boháček, M Bravanský, F Trhlík, V Moravec arXiv preprint arXiv:2212.08550, 2022 | | 2022 |
Misinformation Detection in the Wild: News Source Classification as a Proxy for Non-article Texts M Bohacek Proceedings of the Second Workshop on NLP for Positive Impact (NLP4PI), 79-88, 2022 | | 2022 |
Combining Efficient and Precise Sign Language Recognition: Good pose estimation library is all you need M Boháček, Z Cao, M Hrúz arXiv preprint arXiv:2210.00893, 2022 | | 2022 |