137 citations · 303 across the 12 of their papers we have counts for
12 papers · 1 filter
Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network
Jun Wan, Hui Xi, Jie Zhou +4
Current fully-supervised facial landmark detection methods have progressed rapidly and achieved remarkable performance. However, they still suffer when coping with faces under larg…
Multi-Tensor Network Representation for High-Order Tensor Completion
Chang Nie, Huan Wang, Zhihui Lai
This work studies the problem of high-dimensional data (referred to as tensors) completion from partially observed samplings. We consider that a tensor is a superposition of multip…
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification
Qiufu Li, Linlin Shen, Sheng Guo +1
Though widely used in image classification, convolutional neural networks (CNNs) are prone to noise interruptions, i.e. the CNN output can be drastically changed by small image noi…
GuidedStyle: Attribute Knowledge Guided Style Manipulation for Semantic Face Editing
Xianxu Hou, Xiaokang Zhang, Linlin Shen +2
Although significant progress has been made in synthesizing high-quality and visually realistic face images by unconditional Generative Adversarial Networks (GANs), there still lac…
Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks
Jun Wan, Zhihui Lai, Jing Li +2
Recently, heatmap regression has been widely explored in facial landmark detection and obtained remarkable performance. However, most of the existing heatmap regression-based facia…
Robust Facial Landmark Detection by Cross-order Cross-semantic Deep Network
Jun Wan, Zhihui Lai, Linlin Shen +4
Recently, convolutional neural networks (CNNs)-based facial landmark detection methods have achieved great success. However, most of existing CNN-based facial landmark detection me…
Robust Face Alignment by Multi-order High-precision Hourglass Network
Jun Wan, Zhihui Lai, Jun Liu +2
Heatmap regression (HR) has become one of the mainstream approaches for face alignment and has obtained promising results under constrained environments. However, when a face image…
Think about boundary: Fusing multi-level boundary information for landmark heatmap regression
Jinheng Xie, Jun Wan, Linlin Shen +1
Although current face alignment algorithms have obtained pretty good performances at predicting the location of facial landmarks, huge challenges remain for faces with severe occlu…
Wavelet Integrated CNNs for Noise-Robust Image Classification
Qiufu Li, Linlin Shen, Sheng Guo +1
Convolutional Neural Networks (CNNs) are generally prone to noise interruptions, i.e., small image noise can cause drastic changes in the output. To suppress the noise effect to th…
Pedestrian re-identification based on Tree branch network with local and global learning
Hui Li, Meng Yang, Zhihui Lai +2
Deep part-based methods in recent literature have revealed the great potential of learning local part-level representation for pedestrian image in the task of person re-identificat…
Bilinear Supervised Hashing Based on 2D Image Features
Yujuan Ding, Wai Kueng Wong, Zhihui Lai +1
Hashing has been recognized as an efficient representation learning method to effectively handle big data due to its low computational complexity and memory cost. Most of the exist…
Adaptive Locality Preserving Regression
Jie Wen, Zuofeng Zhong, Zheng Zhang +3
This paper proposes a novel discriminative regression method, called adaptive locality preserving regression (ALPR) for classification. In particular, ALPR aims to learn a more fle…