Search Results for author: Zhihui Lai

Found 16 papers, 5 papers with code

NPSVC++: Nonparallel Classifiers Encounter Representation Learning

1 code implementation8 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).

Representation Learning

Computational Technologies for Fashion Recommendation: A Survey

no code implementations6 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.

Information Retrieval Product Recommendation

Precise Facial Landmark Detection by Reference Heatmap Transformer

no code implementations14 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.

Facial Landmark Detection

Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network

no code implementations23 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.

Facial Landmark Detection

Multi-Tensor Network Representation for High-Order Tensor Completion

no code implementations9 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.

Tensor Decomposition Vocal Bursts Intensity Prediction

Salience-Guided Iterative Asymmetric Mutual Hashing for Fast Person Re-identification

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.

Code Generation Person Re-Identification

WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification

2 code implementations28 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).

Adversarial Robustness Image Classification

GuidedStyle: Attribute Knowledge Guided Style Manipulation for Semantic Face Editing

no code implementations22 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.

Attribute Image Generation

Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks

1 code implementation9 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.

Facial Landmark Detection regression

Robust Facial Landmark Detection by Cross-order Cross-semantic Deep Network

no code implementations16 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.

Facial Landmark Detection

Robust Face Alignment by Multi-order High-precision Hourglass Network

no code implementations17 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.

Face Alignment regression +2

Think about boundary: Fusing multi-level boundary information for landmark heatmap regression

no code implementations25 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.

Face Alignment regression

Wavelet Integrated CNNs for Noise-Robust Image Classification

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.

Classification General Classification +1

Pedestrian re-identification based on Tree branch network with local and global learning

no code implementations31 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.

Person Re-Identification

Bilinear Supervised Hashing Based on 2D Image Features

no code implementations5 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.

Representation Learning Retrieval

Adaptive Locality Preserving Regression

no code implementations3 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.

feature selection regression

Cannot find the paper you are looking for? You can Submit a new open access paper.