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Gloss

Current Biology, 2021
Amanda M. Franklin and Laura Ospina-Rozo introduce the biology and physics of gloss in nature.
Amanda M, Franklin, Laura, Ospina-Rozo
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Gloss-free Sign Language Translation: Improving from Visual-Language Pretraining

IEEE International Conference on Computer Vision, 2023
Sign Language Translation (SLT) is a challenging task due to its cross-domain nature, involving the translation of visual-gestural language to text. Many previous methods employ an intermediate representation, i.e., gloss sequences, to facilitate SLT ...
Benjia Zhou, Zhigang Chen, Albert Clap'es, Jun Wan, Yanyan Liang, Sergio Escalera, Zhen Lei, Du Zhang   +7 more
semanticscholar   +1 more source

Effect of aging on color, gloss and surface roughness of CAD/CAM composite materials.

E -journal of dentistry, 2023
OBJECTIVES To assess the effect of aging procedures on color, gloss and surface roughness of CAD/CAM composite materials. METHODS 6 CAD/CAM composite materials (Brilliant CRIOS, Cerasmart, Lava Ultimate, Tetric CAD, Shofu Blocs HC, Grandio Blocs) were ...
I. Papathanasiou, S. Zinelis, G. Papavasiliou, P. Kamposiora   +3 more
semanticscholar   +1 more source

Causes of the Gloss Transition Defect on High-Gloss Injection-Molded Surfaces

Polymers, 2020
The gloss transition defect of injection-molded surfaces should be mitigated because it creates a poor impression of product quality. Conventional approaches for the suppression of the gloss transition defect employ a trial-and-error approach and ...
Jinsu Gim, Eunsu Han, Byungohk Rhee
exaly   +2 more sources

Gloss Semantic-Enhanced Network with Online Back-Translation for Sign Language Production

ACM Multimedia, 2022
Sign Language Production (SLP) aims to generate the visual appearance of sign language according to the spoken language, in which a key procedure is to translate sign Gloss to Pose (G2P).
Shengeng Tang, Richang Hong, Dan Guo, Meng Wang   +3 more
semanticscholar   +1 more source

An Efficient Gloss-Free Sign Language Translation Using Spatial Configurations and Motion Dynamics with LLMs

North American Chapter of the Association for Computational Linguistics
Gloss-free Sign Language Translation (SLT) converts sign videos into spoken language sentences without relying on glosses, which are the written representations of signs.
Eui Jun Hwang, Sukmin Cho, Junmyeong Lee, Jong C. Park   +3 more
semanticscholar   +1 more source

GLOSS: Group of LLMs for Open-ended Sensemaking of Passive Sensing Data for Health and Wellbeing

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
The ubiquitous presence of smartphones and wearables has enabled researchers to build prediction and detection models for various health and behavior outcomes using passive sensing data from these devices.
Akshat Choube, Ha Le, Jiachen Li, Kaixin Ji, Vedant Das Swain, Varun Mishra   +5 more
semanticscholar   +1 more source

Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation

International Conference on Learning Representations
Automatic Sign Language Translation requires the integration of both computer vision and natural language processing to effectively bridge the communication gap between sign and spoken languages.
Ryan Wong, Necati Cihan Camgöz, Richard Bowden   +2 more
semanticscholar   +1 more source

Effect of Staining Solutions on Color Stability, Gloss and Surface Roughness of Removable Partial Dental Prosthetic Polymers.

Journal of Prosthodontics, 2021
PURPOSE To assess the effect of commonly used solutions on color stability, gloss, and surface roughness of removable partial dental prostheses polymers.
I. Papathanasiou, G. Papavasiliou, P. Kamposiora, P. Zoidis   +3 more
semanticscholar   +1 more source

Improving Gloss-free Sign Language Translation by Reducing Representation Density

Neural Information Processing Systems
Gloss-free sign language translation (SLT) aims to develop well-performing SLT systems with no requirement for the costly gloss annotations, but currently still lags behind gloss-based approaches significantly. In this paper, we identify a representation
Jinhui Ye, Xing Wang, Wenxiang Jiao, Junwei Liang, Hui Xiong   +4 more
semanticscholar   +1 more source