Search Results for author:
Found 7 papers, 3 papers with code
MuTr: Multi-Stage Transformer for Hand Pose Estimation from Full-Scene Depth Image
This work presents a novel transformer-based method for hand pose estimation—DePOTR.
Ranked #4 on
Hand Pose Estimation
on ICVL Hands
Learning from What is Already Out There: Few-shot Sign Language Recognition with Online Dictionaries
This dataset represents the actual distribution and characteristics of available online sign language data.
Fine-grained Czech News Article Dataset: An Interdisciplinary Approach to Trustworthiness Analysis
We present the Verifee Dataset: a novel dataset of news articles with fine-grained trustworthiness annotations.
Combining Efficient and Precise Sign Language Recognition: Good pose estimation library is all you need
Sign language recognition could significantly improve the user experience for d/Deaf people with the general consumer technology, such as IoT devices or videoconferencing.
One Model is Not Enough: Ensembles for Isolated Sign Language Recognition
In this paper, we dive into sign language recognition, focusing on the recognition of isolated signs.
Ranked #4 on
Sign Language Recognition
on AUTSL
Protecting President Zelenskyy against Deep Fakes
The 2022 Russian invasion of Ukraine is being fought on two fronts: a brutal ground war and a duplicitous disinformation campaign designed to conceal and justify Russia's actions.
Sign Pose-Based Transformer for Word-Level Sign Language Recognition
We introduce a robust pose normalization scheme which takes the signing space in considerationand processes the hand poses in a separate local coordinate system, independent on the body pose.
Ranked #1 on
Sign Language Recognition
on LSA64
