Matyas Bohacek

According to our database, Matyas Bohacek authored at least 13 papers between 2021 and 2023.

Collaborative distances:

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

2023

MuTr: Multi-Stage Transformer for Hand Pose Estimation from Full-Scene Depth Image.

Jakub Kanis, Ivan Gruber, Zdenek Krnoul, Matyás Bohácek, Jakub Straka, Marek Hrúz

Sensors, 2023

Nepotistically Trained Generative-AI Models Collapse.

Matyas Bohacek, Hany Farid

CoRR, 2023

Czech-ing the News: Article Trustworthiness Dataset for Czech.

Matyas Bohacek, Michal Bravansky, Filip Trhlík, Václav Moravec

Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

Learning from What is Already Out There: Few-shot Sign Language Recognition with Online Dictionaries.

Matyás Bohácek, Marek Hrúz

Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023

Fine-grained Czech News Article Dataset: An Interdisciplinary Approach to Trustworthiness Analysis.

Matyás Bohácek, Michal Bravansky, Filip Trhlík, Václav Moravec

Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, 2023

A Geometric and Photometric Exploration of GAN and Diffusion Synthesized Faces.

Matyás Bohácek, Hany Farid

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Sign Spotter: Design and Initial Evaluation of an Automatic Video-Based American Sign Language Dictionary System.

Matyas Bohacek, Saad Hassan

Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility, 2023

The Unseen A+ Student: Evaluating the Performance and Detectability of Large Language Models in High School Assignments.

Matyás Bohácek

Proceedings of the Workshop on Empowering Education with LLMs, 2023

2022

One Model is Not Enough: Ensembles for Isolated Sign Language Recognition.

Marek Hrúz, Ivan Gruber, Jakub Kanis, Matyás Bohácek, Miroslav Hlavác, Zdenek Krnoul

Sensors, 2022

Combining Efficient and Precise Sign Language Recognition: Good pose estimation library is all you need.

Matyás Bohácek, Zhuo Cao, Marek Hrúz

CoRR, 2022

Protecting President Zelenskyy against Deep Fakes.

Matyás Bohácek, Hany Farid

CoRR, 2022

Sign Pose-based Transformer for Word-level Sign Language Recognition.

Matyás Bohácek, Marek Hrúz

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

2021

Mutual Support of Data Modalities in the Task of Sign Language Recognition.

Ivan Gruber, Zdenek Krnoul, Marek Hrúz, Jakub Kanis, Matyas Bohacek

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021