10 citations · 35 across the 6 of their papers we have counts for
7 papers
From Two-Class Linear Discriminant Analysis to Interpretable Multilayer Perceptron Design
Ruiyuan Lin, Zhiruo Zhou, Suya You +2
A closed-form solution exists in two-class linear discriminant analysis (LDA), which discriminates two Gaussian-distributed classes in a multi-dimensional feature space. In this wo…
NITES: A Non-Parametric Interpretable Texture Synthesis Method
Xuejing Lei, Ganning Zhao, C. -C. Jay Kuo
A non-parametric interpretable texture synthesis method, called the NITES method, is proposed in this work. Although automatic synthesis of visually pleasant texture can be achieve…
Unsupervised Point Cloud Registration via Salient Points Analysis (SPA)
Pranav Kadam, Min Zhang, Shan Liu +1
An unsupervised point cloud registration method, called salient points analysis (SPA), is proposed in this work. The proposed SPA method can register two point clouds effectively u…
Unsupervised Feedforward Feature (UFF) Learning for Point Cloud Classification and Segmentation
Min Zhang, Pranav Kadam, Shan Liu +1
In contrast to supervised backpropagation-based feature learning in deep neural networks (DNNs), an unsupervised feedforward feature (UFF) learning scheme for joint classification…
Learning Color Compatibility in Fashion Outfits
Heming Zhang, Xuewen Yang, Jianchao Tan +3
Color compatibility is important for evaluating the compatibility of a fashion outfit, yet it was neglected in previous studies. We bring this important problem to researchers' att…
Novel Human-Object Interaction Detection via Adversarial Domain Generalization
Yuhang Song, Wenbo Li, Lei Zhang +6
We study in this paper the problem of novel human-object interaction (HOI) detection, aiming at improving the generalization ability of the model to unseen scenarios. The challenge…