427 citations · 1.1k across the 82 of their papers we have counts for
5 papers · 1 filter
Latent Constrained Correlation Filter
Baochang Zhang, Shangzhen Luan, Chen Chen +4
Correlation filters are special classifiers designed for shift-invariant object recognition, which are robust to pattern distortions. The recent literature shows that combining a s…
Manifold Constrained Low-Rank Decomposition
Chen Chen, Baochang Zhang, Alessio Del Bue +1
Low-rank decomposition (LRD) is a state-of-the-art method for visual data reconstruction and modelling. However, it is a very challenging problem when the image data contains signi…
Deep Fisher Discriminant Learning for Mobile Hand Gesture Recognition
Chunyu Xie, Ce Li, Baochang Zhang +2
Gesture recognition is a challenging problem in the field of biometrics. In this paper, we integrate Fisher criterion into Bidirectional Long-Short Term Memory (BLSTM) network and…
Deep Spatio-temporal Manifold Network for Action Recognition
Ce Li, Chen Chen, Baochang Zhang +3
Visual data such as videos are often sampled from complex manifold. We propose leveraging the manifold structure to constrain the deep action feature learning, thereby minimizing t…
Gabor Convolutional Networks
Shangzhen Luan, Baochang Zhang, Chen Chen +3
Steerable properties dominate the design of traditional filters, e.g., Gabor filters, and endow features the capability of dealing with spatial transformations. However, such excel…