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Deep learning pathways for automatic sign language processing
M Toshpulatov, W Lee, J Jun, S Lee - Pattern Recognition, 2025 - Elsevier
This study provides a comprehensive review of the current state of the sign language
processing (SLP) field, encompassing sign language recognition (SLR), translation (SLT) …
processing (SLP) field, encompassing sign language recognition (SLR), translation (SLT) …
Wilor: End-to-end 3d hand localization and reconstruction in-the-wild
In recent years, 3D hand pose estimation methods have garnered significant attention due to
their extensive applications in human-computer interaction, virtual reality, and robotics. In …
their extensive applications in human-computer interaction, virtual reality, and robotics. In …
Animateme: 4d facial expressions via diffusion models
The field of photorealistic 3D avatar reconstruction and generation has garnered significant
attention in recent years; however, animating such avatars remains challenging. Recent …
attention in recent years; however, animating such avatars remains challenging. Recent …
A review of deep learning-based approaches to sign language processing
Technology to support human communication by sign language may address a growing
social need and is interesting from an engineering perspective, considering multimodal …
social need and is interesting from an engineering perspective, considering multimodal …
Sign-IDD: Iconicity Disentangled Diffusion for Sign Language Production
Sign Language Production (SLP) aims to generate semantically consistent sign videos from
textual statements, where the conversion from textual glosses to sign poses (G2P) is a …
textual statements, where the conversion from textual glosses to sign poses (G2P) is a …
Pose-Guided Fine-Grained Sign Language Video Generation
Sign language videos are an important medium for spreading and learning sign language.
However, most existing human image synthesis methods produce sign language images …
However, most existing human image synthesis methods produce sign language images …
Shapefusion: A 3d diffusion model for localized shape editing
In the realm of 3D computer vision, parametric models have emerged as a ground-breaking
methodology for the creation of realistic and expressive 3D avatars. Traditionally, they rely …
methodology for the creation of realistic and expressive 3D avatars. Traditionally, they rely …
T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text
In this work, we propose a two-stage sign language production (SLP) paradigm that first
encodes sign language sequences into discrete codes and then autoregressively generates …
encodes sign language sequences into discrete codes and then autoregressively generates …
Signs as Tokens: An Autoregressive Multilingual Sign Language Generator
Sign language is a visual language that encompasses all linguistic features of natural
languages and serves as the primary communication method for the deaf and hard-of …
languages and serves as the primary communication method for the deaf and hard-of …
[КНИГА][B] Computer Vision-ECCV 2024: 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXIV.
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes
the refereed proceedings of the 18th European Conference on Computer Vision, ECCV …
the refereed proceedings of the 18th European Conference on Computer Vision, ECCV …