Zobrazeno 1 - 10
of 488
pro vyhledávání: '"Wall, Dennis P"'
Autor:
Huynh, Marie, Kline, Aaron, Surabhi, Saimourya, Dunlap, Kaitlyn, Mutlu, Onur Cezmi, Honarmand, Mohammadmahdi, Azizian, Parnian, Washington, Peter, Wall, Dennis P.
Early detection of autism, a neurodevelopmental disorder marked by social communication challenges, is crucial for timely intervention. Recent advancements have utilized naturalistic home videos captured via the mobile application GuessWhat. Through
Externí odkaz:
http://arxiv.org/abs/2408.13255
Autor:
Qian, Yang, Sun, Yinan, Kargarandehkordi, Ali, Azizian, Parnian, Mutlu, Onur Cezmi, Surabhi, Saimourya, Chen, Pingyi, Jabbar, Zain, Wall, Dennis Paul, Washington, Peter
The increasing variety and quantity of tagged multimedia content on a variety of online platforms offer a unique opportunity to advance the field of human action recognition. In this study, we utilize 283,582 unique, unlabeled TikTok video clips, cat
Externí odkaz:
http://arxiv.org/abs/2402.08875
Autor:
Washington, Peter, Kalantarian, Haik, Tariq, Qandeel, Schwartz, Jessey, Dunlap, Kaitlyn, Chrisman, Brianna, Varma, Maya, Ning, Michael, Kline, Aaron, Stockham, Nathaniel, Paskov, Kelley, Voss, Catalin, Haber, Nick, Wall, Dennis Paul
Publikováno v:
Journal of Medical Internet Research, Vol 21, Iss 6, p e14950 (2019)
Externí odkaz:
https://doaj.org/article/6660ad4591ec4b2b8ba1130e9dd27cb2
Autor:
Qian, Yang, Kargarandehkordi, Ali, Mutlu, Onur Cezmi, Surabhi, Saimourya, Honarmand, Mohammadmahdi, Wall, Dennis Paul, Washington, Peter
Emotions play an essential role in human communication. Developing computer vision models for automatic recognition of emotion expression can aid in a variety of domains, including robotics, digital behavioral healthcare, and media analytics. There a
Externí odkaz:
http://arxiv.org/abs/2303.10741
We introduce Temporal consistency for Test-time adaptation (TempT) a novel method for test-time adaptation on videos through the use of temporal coherence of predictions across sequential frames as a self-supervision signal. TempT is an approach with
Externí odkaz:
http://arxiv.org/abs/2303.10536
Autor:
Washington, Peter, Wall, Dennis P.
Autism Spectrum Disorder (autism) is a neurodevelopmental delay which affects at least 1 in 44 children. Like many neurological disorder phenotypes, the diagnostic features are observable, can be tracked over time, and can be managed or even eliminat
Externí odkaz:
http://arxiv.org/abs/2303.03577
Multi-Task Learning (MTL) is a growing subject of interest in deep learning, due to its ability to train models more efficiently on multiple tasks compared to using a group of conventional single-task models. However, MTL can be impractical as certai
Externí odkaz:
http://arxiv.org/abs/2211.12999
Autor:
Washington, Peter, Mutlu, Cezmi, Kline, Aaron, Hou, Cathy, Dunlap, Kaitlyn, Kent, Jack, Husic, Arman, Stockham, Nate, Chrisman, Brianna, Paskov, Kelley, Jung, Jae-Yoon, Wall, Dennis P.
Some of the most severe bottlenecks preventing widespread development of machine learning models for human behavior include a dearth of labeled training data and difficulty of acquiring high quality labels. Active learning is a paradigm for using alg
Externí odkaz:
http://arxiv.org/abs/2204.01915
Autor:
Washington, Peter, Mutlu, Cezmi Onur, Kline, Aaron, Paskov, Kelley, Stockham, Nate Tyler, Chrisman, Brianna, Deveau, Nick, Surhabi, Mourya, Haber, Nick, Wall, Dennis P.
Computer Vision (CV) classifiers which distinguish and detect nonverbal social human behavior and mental state can aid digital diagnostics and therapeutics for psychiatry and the behavioral sciences. While CV classifiers for traditional and structure
Externí odkaz:
http://arxiv.org/abs/2201.11197
Autor:
Chi, Nathan A., Washington, Peter, Kline, Aaron, Husic, Arman, Hou, Cathy, He, Chloe, Dunlap, Kaitlyn, Wall, Dennis
Autism spectrum disorder (ASD) is a neurodevelopmental disorder which results in altered behavior, social development, and communication patterns. In past years, autism prevalence has tripled, with 1 in 54 children now affected. Given that traditiona
Externí odkaz:
http://arxiv.org/abs/2201.00927