We present a new Cascaded Shape Regression (CSR) architecture, namely Dynamic
Attention-Controlled CSR (DAC-CSR), for robust facial landmark detection on unconstrained …

Recently, a series of collaborative representation (CR) methods have attracted much
attention for hyperspectral images classification. In this article, two CR-based dynamic …

Effective data augmentation is crucial for facial landmark localization with convolutional
neural networks (CNNs). In this letter, we investigate different data augmentation techniques …

In this letter, a novel inversion scheme based on the supervised descent method (SDM) for
the logging responses interpretation of anisotropic formations is proposed. The inversion …

In order to study the rapid and effective non-destructive detection method of pesticide
residues on apple surface, this paper uses hyperspectral imaging technology to verify the …

We present a novel approach for automatically detecting and tracking facial landmarks
across poses and expressions from in-the-wild monocular video data, eg, YouTube videos …

To address the issues of inadequate prior information utilization and low computational
efficiency for quasi-linear inversion with large amounts of data, this paper utilizes supervised …

Face alignment is an essential task for facial performance capture and expression analysis.
As a complex nonlinear problem in computer vision, face alignment across poses is still not …

The random subspace method (RSM) has proved its excellence in numbers of pattern
recognition tasks. However, the standard RSM is limited owing to the randomness in its …

为了解决拟线性反演中先验信息利用不充分及大批量数据计算效率低的问题,
本文将监督下降法(Supervised Descent Method, SDM) 应用到直流电阻率法二维反演中. SDM …