351 citations · 779 across the 10 of their papers we have counts for
10 papers
Skin Disease Classification versus Skin Lesion Characterization: Achieving Robust Diagnosis using Multi-label Deep Neural Networks
Haofu Liao, Yuncheng Li, Jiebo Luo
In this study, we investigate what a practically useful approach is in order to achieve robust skin disease diagnosis. A direct approach is to target the ground truth diagnosis lab…
Action Recognition with Spatio-Temporal Visual Attention on Skeleton Image Sequences
Zhengyuan Yang, Yuncheng Li, Jianchao Yang +1
Action recognition with 3D skeleton sequences is becoming popular due to its speed and robustness. The recently proposed Convolutional Neural Networks (CNN) based methods have show…
Improving Pairwise Ranking for Multi-label Image Classification
Yuncheng Li, Yale Song, Jiebo Luo
Learning to rank has recently emerged as an attractive technique to train deep convolutional neural networks for various computer vision tasks. Pairwise ranking, in particular, has…
Mining Fashion Outfit Composition Using An End-to-End Deep Learning Approach on Set Data
Yuncheng Li, LiangLiang Cao, Jiang Zhu +1
Composing fashion outfits involves deep understanding of fashion standards while incorporating creativity for choosing multiple fashion items (e.g., Jewelry, Bag, Pants, Dress). In…
To Follow or Not to Follow: Analyzing the Growth Patterns of the Trumpists on Twitter
Yu Wang, Jiebo Luo, Richard Niemi +1
In this paper, we analyze the growth patterns of Donald Trump's followers (Trumpists, henceforth) on Twitter. We first construct a random walk model with a time trend to study the…
Catching Fire via "Likes": Inferring Topic Preferences of Trump Followers on Twitter
Yu Wang, Jiebo Luo, Richard Niemi +2
In this paper, we propose a framework to infer the topic preferences of Donald Trump's followers on Twitter. We first use latent Dirichlet allocation (LDA) to derive the weighted m…