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of 12
pro vyhledávání: '"Karren Yang"'
Adapting generic speech recognition models to specific individuals is a challenging problem due to the scarcity of personalized data. Recent works have proposed boosting the amount of training data using personalized text-to-speech synthesis. Here, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::185e8f1041831315b95727aee4f93b93
http://arxiv.org/abs/2303.14885
http://arxiv.org/abs/2303.14885
Publikováno v:
CVPR
Beyond achieving high performance across many vision tasks, multimodal models are expected to be robust to single-source faults due to the availability of redundant information between modalities. In this paper, we investigate the robustness of multi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a93a635a4efdb934d0db187f17be153
http://arxiv.org/abs/2206.12714
http://arxiv.org/abs/2206.12714
Since facial actions such as lip movements contain significant information about speech content, it is not surprising that audio-visual speech enhancement methods are more accurate than their audio-only counterparts. Yet, state-of-the-art approaches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baed4dd1973e5bd1b24af940faf4db8f
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198359
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7b9880eb489a7f064d980976bea527d
https://doi.org/10.1007/978-3-031-19836-6_16
https://doi.org/10.1007/978-3-031-19836-6_16
Autor:
Alex X. Lu, Wengong Jin, Regina Barzilay, Samuel Goldman, Caroline Uhler, Tommi S. Jaakkola, Karren Yang
Publikováno v:
CVPR
In this paper, we aim to synthesize cell microscopy images under different molecular interventions, motivated by practical applications to drug development. Building on the recent success of graph neural networks for learning molecular embeddings and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0055055b3cc967188a830109d6b56eb
https://doi.org/10.1109/cvpr46437.2021.00662
https://doi.org/10.1109/cvpr46437.2021.00662
Publikováno v:
CVPR
Self-supervised audio-visual learning aims to capture useful representations of video by leveraging correspondences between visual and audio inputs. Existing approaches have focused primarily on matching semantic information between the sensory strea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15e07a90ed35d87b138b85245a445371
https://doi.org/10.1109/cvpr42600.2020.00995
https://doi.org/10.1109/cvpr42600.2020.00995
Publikováno v:
Oncotarget
// Hem C. Jha 1 , Karren Yang 1 , Darine W. El-Naccache 1 , Zhiguo Sun 1 and Erle S. Robertson 1 1 Department of Microbiology and the Tumor Virology Program, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Phila
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a52dd42351f95efcba825be445c6604
http://europepmc.org/articles/PMC4467402
http://europepmc.org/articles/PMC4467402
Publikováno v:
Journal of Student Science and Technology. 8
The standard science curriculum is meant to familiarize students with basic concepts in biology, chemistry, and physics. We do not dispute the necessity of this – indeed, a strong grasp of the fundamentals will facilitate the understanding of inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fe26ce37ce438dde094428637596ffb
https://doi.org/10.13034/jsst.v8i1.51
https://doi.org/10.13034/jsst.v8i1.51
Autor:
Samantha J. Falk, Michael A. Lampson, Aiko Iwata-Otsubo, Takashi Akera, Karren Yang, Jennine M. Dawicki-McKenna, Beth A. Sullivan, Lukáš Chmátal, Ben E. Black, Richard M. Schultz
Publikováno v:
Current Biology. 27:2365-2373.e8
Female meiosis provides an opportunity for selfish genetic elements to violate Mendel's law of segregation by increasing the chance of segregating to the egg [1]. Centromeres and other repetitive sequences can drive in meiosis by cheating the segrega
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62ae575546f71b59f5dfda45a0f02693
https://doi.org/10.1016/j.cub.2017.06.069
https://doi.org/10.1016/j.cub.2017.06.069
Autor:
Akera, Takashi, Chmátal, Lukáš, Trimm, Emily, Karren Yang, Aonbangkhen, Chanat, Chenoweth, David M., Janke, Carsten, Schultz, Richard M., Lampson, Michael A.
Publikováno v:
Science; 11/3/2017, Vol. 358 Issue 6363, p668-672, 5p, 4 Diagrams