Zobrazeno 1 - 10
of 852
pro vyhledávání: '"YIN, Lijun"'
Publikováno v:
ICCV 2023
Contrastive learning has shown promising potential for learning robust representations by utilizing unlabeled data. However, constructing effective positive-negative pairs for contrastive learning on facial behavior datasets remains challenging. This
Externí odkaz:
http://arxiv.org/abs/2304.00058
Autor:
Li, Zhihua, Nagrebetsky, Alexander, Ranjeva, Sylvia, Bi, Nan, Liu, Dianbo, Melo, Marcos F. Vidal, Houle, Timothy, Yin, Lijun, Deng, Hao
As a team studying the predictors of complications after lung surgery, we have encountered high missingness of data on one-lung ventilation (OLV) start and end times due to high clinical workload and cognitive overload during surgery. Such missing da
Externí odkaz:
http://arxiv.org/abs/2302.12713
Recent studies have focused on utilizing multi-modal data to develop robust models for facial Action Unit (AU) detection. However, the heterogeneity of multi-modal data poses challenges in learning effective representations. One such challenge is ext
Externí odkaz:
http://arxiv.org/abs/2209.12244
Publikováno v:
In The Journal of Pain November 2024 25(11)
Publikováno v:
In Food Hydrocolloids November 2024 156
Publikováno v:
In International Journal of Biological Macromolecules November 2024 279 Part 3
Publikováno v:
In Food Hydrocolloids October 2024 155
Publikováno v:
In Carbohydrate Polymers 1 March 2025 351
Publikováno v:
In Food Control February 2025 168
Recent studies on the automatic detection of facial action unit (AU) have extensively relied on large-sized annotations. However, manually AU labeling is difficult, time-consuming, and costly. Most existing semi-supervised works ignore the informativ
Externí odkaz:
http://arxiv.org/abs/2203.16678