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.
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
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
Hand Pose Estimation in the Task of Egocentric Actions
In this article we tackle the problem of hand pose estimation when the hand is interacting with various objects from egocentric viewpoint.
Ranked #2 on
Hand Pose Estimation
on HANDS 2017
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction
To address these issues, we designed a public challenge (HANDS'19) to evaluate the abilities of current 3D hand pose estimators (HPEs) to interpolate and extrapolate the poses of a training set.
