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pro vyhledávání: '"Andrew Jong"'
Aerial vehicles are revolutionizing applications that require capturing the 3D structure of dynamic targets in the wild, such as sports, medicine, and entertainment. The core challenges in developing a motion-capture system that operates in outdoors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d6923d7958e3fd073b7df90c82c4b79
http://arxiv.org/abs/2108.03936
http://arxiv.org/abs/2108.03936
Autor:
Tristan Caro, Brooke Shepard, Aimee Johnson, Sonali Verma, Nhung Tran, Anna-Sophia Boguraev, Molly D. Heit, Jordan M. McKaig, Jon Rask, Emily Johnson, Andrew Jong, Alex J. Hyer, Elizabeth Delgadillo Talburt, Kaixin Cui, Jamie Stankiewiz
Publikováno v:
Gravitational and Space Research. 7:62-69
High-altitude balloons (HABs) present a valuable and cost-effective tool for educators and students to access the conditions that are analogous to space and extraterrestrial environments in the Earth’s upper atmosphere. Historically, HABs have been
Publikováno v:
WACV (Workshops)
Virtual try-on has garnered interest as a neural rendering benchmark task to evaluate complex object transfer and scene composition. Recent works in virtual clothing try-on feature a plethora of possible architectural and data representation choices.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6432f881b43445a702ab6c4859053740
http://arxiv.org/abs/2012.10495
http://arxiv.org/abs/2012.10495
This chapter elaborates on using generative adversarial networks (GAN) for virtual try-on applications. It presents the first comprehensive survey on this topic. Virtual try-on represents a practical application of GANs and pixel translation, which i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2eb87ce4a38db749745b4eebbc771dc
https://doi.org/10.4018/978-1-7998-4444-0.ch005
https://doi.org/10.4018/978-1-7998-4444-0.ch005
Autor:
Andrew Jong, Teng-Sheng Moh
Publikováno v:
HPCS
We investigate the usage of short video datasets in place of large image datasets for outfit transfer. We replicate the warp stage of prior work, SwapNet, while swapping out the 800K-image DeepFashion dataset for two 5-minute videos. By successfully
Publikováno v:
NAACL-HLT
Contextual influences on language often exhibit substantial cross-lingual regularities; for example, we are more verbose in situations that require finer distinctions. However, these regularities are sometimes obscured by semantic and syntactic diffe