Results 271 to 280 of about 388,710 (337)

Reduced masticatory stimuli modulate myokine secretion in the masseter muscle in mice. [PDF]

PLoS One
Kawasaki M, Kato C, Tanigawa M, Misawa E, Nakamura K, Inaba H, Abe Y, Kokai S, Ono T.   +8 more
europepmc   +1 more source

Optimizing Collagen Biostimulator Choice in LATAM: Expert Consensus on Patient Selection, Ethnic Skin Phenotypes, and Accessibility. [PDF]

J Cosmet Dermatol
Cure E, Hernández LAP, Amado AM, Cabrales JSR, Garcés E, Dicker V, Castelanich D, Schneider C, Salas I, Argueta J, Tafur LV, Acevedo A, Bugallo A, Murúa E, Hernandez AMP.   +14 more
europepmc   +1 more source

KT-939: A Next-Generation Human Tyrosinase Inhibitor With Superior Efficacy for the Safe Management of Hyperpigmentation. [PDF]

J Cosmet Dermatol
Hou X, Li Y, Zhang Q, Yan H, Zhang X, Yang Y, Cai X, Wang J, Ding M, Chen D, Chen J, Tong Y, Mehta N, Goren A.   +13 more
europepmc   +1 more source

Adapting virtual agent interaction style with reinforcement learning to enhance affective engagement. [PDF]

Front Digit Health
Tamantini C, Umbrico A, Fracasso F, Beraldo G, Cortellessa G, Orlandini A.   +5 more
europepmc   +1 more source

Multiple contexts and frequencies aggregation network for deepfake detection. [PDF]

PLoS One
Li Z, Tang W, Gao S, Wang Y, Wang S.
europepmc   +1 more source

Facial Expressions for Sign Language Synthesis using FACSHuman and AZee

Paritosh Sharma, Camille Challant, Michael Filhol   +2 more
openalex   +1 more source

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Manifold-enhanced CycleGAN for facial expression synthesis

The Imaging Science Journal, 2022
Facial expressions contain a great deal of information in inter-personal communication and social interaction and have a great impact on face recognition. This paper investigates expression synthesis methods based on deep learning and their performance in expression classification and face recognition.
Yating Huang, Hujun Yin
openaire   +2 more sources

Joint Expression Synthesis and Representation Learning for Facial Expression Recognition

IEEE Transactions on Circuits and Systems for Video Technology, 2022
Facial expression recognition (FER) is a challenging task due to the large appearance variations and the lack of sufficient training data. Conventional deep approaches either learn a good representation through deep models or synthesize images automatically to enlarge the training set.
Xi Zhang, Feifei Zhang, Changsheng Xu
openaire   +2 more sources

Facial Expression Synthesis on Robots

Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts, 2015
We present a generalized technique for easily synthesizing facial expressions on robotic faces. In contrast to other work, our approach works in near real time with a high level of accuracy, does not require any manual labeling, is a fully open-source ROS module, and can enable the research community to perform objective and systematic comparisons ...
Maryam Moosaei, Cory J. Hayes, Laurel D. Riek   +2 more
openaire   +2 more sources