9.2k citations · 16.2k across the 175 of their papers we have counts for
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A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition
Liang Lin, Keze Wang, Wangmeng Zuo +3
Understanding human activity is very challenging even with the recently developed 3D/depth sensors. To solve this problem, this work investigates a novel deep structured model, whi…
Weighted Schatten -Norm Minimization for Image Denoising and Background Subtraction
Yuan Xie, Shuhang Gu, Yan Liu +3
Low rank matrix approximation (LRMA), which aims to recover the underlying low rank matrix from its degraded observation, has a wide range of applications in computer vision. The l…
Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification
Ruimao Zhang, Liang Lin, Rui Zhang +2
Extracting informative image features and learning effective approximate hashing functions are two crucial steps in image retrieval . Conventional methods often study these two ste…
Towards Effective Codebookless Model for Image Classification
Qilong Wang, Peihua Li, Lei Zhang +1
The bag-of-features (BoF) model for image classification has been thoroughly studied over the last decade. Different from the widely used BoF methods which modeled images with a pr…
Detail-preserving and Content-aware Variational Multi-view Stereo Reconstruction
Zhaoxin Li, Kuanquan Wang, Wangmeng Zuo +2
Accurate recovery of 3D geometrical surfaces from calibrated 2D multi-view images is a fundamental yet active research area in computer vision. Despite the steady progress in multi…
F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation
Xiaohe Wu, Wangmeng Zuo, Yuanyuan Zhu +1
The generalization error bound of support vector machine (SVM) depends on the ratio of radius and margin, while standard SVM only considers the maximization of the margin but ignor…
Deep Joint Task Learning for Generic Object Extraction
Xiaolong Wang, Liliang Zhang, Liang Lin +2
This paper investigates how to extract objects-of-interest without relying on hand-craft features and sliding windows approaches, that aims to jointly solve two sub-tasks: (i) rapi…
Iterated Support Vector Machines for Distance Metric Learning
Wangmeng Zuo, Faqiang Wang, David Zhang +4
Distance metric learning aims to learn from the given training data a valid distance metric, with which the similarity between data samples can be more effectively evaluated for cl…
3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks
Keze Wang, Xiaolong Wang, Liang Lin +2
Human activity understanding with 3D/depth sensors has received increasing attention in multimedia processing and interactions. This work targets on developing a novel deep model f…