no code implementations • 8 Apr 2024 • Xu Wu, Xianxu Hou, Zhihui Lai, Jie zhou, Ya-nan Zhang, Witold Pedrycz, Linlin Shen
Low-light image enhancement (LLIE) aims to improve low-illumination images.
1 code implementation • 8 Feb 2024 • Junhong Zhang, Zhihui Lai, Jie zhou, Guangfei Liang
This paper focuses on a specific family of classifiers called nonparallel support vector classifiers (NPSVCs).
no code implementations • 6 Jun 2023 • Yujuan Ding, Zhihui Lai, P. Y. Mok, Tat-Seng Chua
Fashion recommendation is a key research field in computational fashion research and has attracted considerable interest in the computer vision, multimedia, and information retrieval communities in recent years.
no code implementations • 14 Mar 2023 • Jun Wan, Jun Liu, Jie zhou, Zhihui Lai, Linlin Shen, Hang Sun, Ping Xiong, Wenwen Min
Most facial landmark detection methods predict landmarks by mapping the input facial appearance features to landmark heatmaps and have achieved promising results.
no code implementations • 23 Dec 2021 • Jun Wan, Hui Xi, Jie zhou, Zhihui Lai, Witold Pedrycz, Xu Wang, Hang Sun
We show that by integrating the BALI fields and SCPA model into a novel self-calibrated pose attention network, more facial prior knowledge can be learned and the detection accuracy and robustness of our method for faces with large poses and heavy occlusions have been improved.
no code implementations • 9 Sep 2021 • Chang Nie, Huan Wang, Zhihui Lai
In particular, each component can be represented as multilinear connections over several latent factors and naturally mapped to a specific tensor network (TN) topology.
2 code implementations • IEEE Transactions on Image Processing 2021 • Cairong Zhao, Yuanpeng Tu, Zhihui Lai, Fumin Shen, Heng Tao Shen, Duoqian Miao
Moreover, a novel iterative asymmetric mutual training strategy (IAMT) is proposed to alleviate drawbacks of common mutual learning, which can continuously refine the discriminative regions for SSB and extract regularized dark knowledge for two models as well.
2 code implementations • 28 Jul 2021 • Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai
We firstly propose general DWT and inverse DWT (IDWT) layers applicable to various orthogonal and biorthogonal discrete wavelets like Haar, Daubechies, and Cohen, etc., and then design wavelet integrated CNNs (WaveCNets) by integrating DWT into the commonly used CNNs (VGG, ResNets, and DenseNet).
no code implementations • 22 Dec 2020 • Xianxu Hou, Xiaokang Zhang, Linlin Shen, Zhihui Lai, Jun Wan
Although significant progress has been made in synthesizing high-quality and visually realistic face images by unconditional Generative Adversarial Networks (GANs), there still lacks of control over the generation process in order to achieve semantic face editing.
1 code implementation • 9 Dec 2020 • Jun Wan, Zhihui Lai, Jing Li, Jie zhou, Can Gao
Recently, heatmap regression has been widely explored in facial landmark detection and obtained remarkable performance.
no code implementations • 16 Nov 2020 • Jun Wan, Zhihui Lai, Linlin Shen, Jie zhou, Can Gao, Gang Xiao, Xianxu Hou
Moreover, a novel cross-order cross-semantic (COCS) regularizer is designed to drive the network to learn cross-order cross-semantic features from different activation for facial landmark detection.
no code implementations • 17 Oct 2020 • Jun Wan, Zhihui Lai, Jun Liu, Jie zhou, Can Gao
Heatmap regression (HR) has become one of the mainstream approaches for face alignment and has obtained promising results under constrained environments.
Ranked #7 on Face Alignment on AFLW-19
no code implementations • 25 Aug 2020 • Jinheng Xie, Jun Wan, Linlin Shen, Zhihui Lai
Although current face alignment algorithms have obtained pretty good performances at predicting the location of facial landmarks, huge challenges remain for faces with severe occlusion and large pose variations, etc.
1 code implementation • CVPR 2020 • Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai
The high-frequency components, containing most of the data noise, are dropped during inference to improve the noise-robustness of the WaveCNets.
no code implementations • 31 Mar 2019 • Hui Li, Meng Yang, Zhihui Lai, Wei-Shi Zheng, Zitong Yu
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-identification.
no code implementations • 5 Jan 2019 • Yujuan Ding, Wai Kueng Wong, Zhihui Lai, Zheng Zhang
Hashing has been recognized as an efficient representation learning method to effectively handle big data due to its low computational complexity and memory cost.
no code implementations • 3 Jan 2019 • Jie Wen, Zuofeng Zhong, Zheng Zhang, Lunke Fei, Zhihui Lai, Runze Chen
This paper proposes a novel discriminative regression method, called adaptive locality preserving regression (ALPR) for classification.