90 citations · 190 across the 18 of their papers we have counts for
18 papers
Progressive Feature Mining and External Knowledge-Assisted Text-Pedestrian Image Retrieval
Huafeng Li, Shedan Yang, Yafei Zhang +2
Text-Pedestrian Image Retrieval aims to use the text describing pedestrian appearance to retrieve the corresponding pedestrian image. This task involves not only modality discrepan…
Adversarial Self-Attack Defense and Spatial-Temporal Relation Mining for Visible-Infrared Video Person Re-Identification
Huafeng Li, Le Xu, Yafei Zhang +2
In visible-infrared video person re-identification (re-ID), extracting features not affected by complex scenes (such as modality, camera views, pedestrian pose, background, etc.) c…
Prototype-Driven and Multi-Expert Integrated Multi-Modal MR Brain Tumor Image Segmentation
Yafei Zhang, Zhiyuan Li, Huafeng Li +1
For multi-modal magnetic resonance (MR) brain tumor image segmentation, current methods usually directly extract the discriminative features from input images for tumor sub-region…
Free-Form Composition Networks for Egocentric Action Recognition
Haoran Wang, Qinghua Cheng, Baosheng Yu +4
Egocentric action recognition is gaining significant attention in the field of human action recognition. In this paper, we address data scarcity issue in egocentric action recognit…
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks
Chuang Liu, Xueqi Ma, Yibing Zhan +5
Graph Neural Networks (GNNs) tend to suffer from high computation costs due to the exponentially increasing scale of graph data and the number of model parameters, which restricts…
Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples
Jinfeng Li, Weifeng Liu, Yicong Zhou +2
Domain adaptation aims to generalize a model from a source domain to tackle tasks in a related but different target domain. Traditional domain adaptation algorithms assume that eno…
Hetero-Center Loss for Cross-Modality Person Re-Identification
Yuanxin Zhu, Zhao Yang, Li Wang +3
Cross-modality person re-identification is a challenging problem which retrieves a given pedestrian image in RGB modality among all the gallery images in infrared modality. The tas…
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning
Sihui Luo, Xinchao Wang, Gongfan Fang +3
An increasing number of well-trained deep networks have been released online by researchers and developers, enabling the community to reuse them in a plug-and-play way without acce…
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
Jingwen Ye, Yixin Ji, Xinchao Wang +3
In this paper, we investigate a novel deep-model reusing task. Our goal is to train a lightweight and versatile student model, without human-labelled annotations, that amalgamates…
Semantic Adversarial Network with Multi-scale Pyramid Attention for Video Classification
De Xie, Cheng Deng, Hao Wang +2
Two-stream architecture have shown strong performance in video classification task. The key idea is to learn spatio-temporal features by fusing convolutional networks spatially and…
Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition
Xueqi Ma, Weifeng Liu, Dapeng Tao +1
Recently, manifold regularized semi-supervised learning (MRSSL) received considerable attention because it successfully exploits the geometry of the intrinsic data probability dist…
Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition
Xueqi Ma, Weifeng Liu, Shuying Li +1
It is of great importance to preserve locality and similarity information in semi-supervised learning (SSL) based applications. Graph based SSL and manifold regularization based SS…
Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks
Fusheng Hao, Jun Cheng, Lei Wang +4
Discriminative features are critical for machine learning applications. Most existing deep learning approaches, however, rely on convolutional neural networks (CNNs) for learning f…
Ensemble One-dimensional Convolution Neural Networks for Skeleton-based Action Recognition
Yangyang Xu, Lei Wang
In this paper, we proposed a effective but extensible residual one-dimensional convolution neural network as base network, based on the this network, we proposed four subnets to ex…
Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition
Yanan Guo, Lei Li, Weifeng Liu +2
The ever-growing popularity of Kinect and inertial sensors has prompted intensive research efforts on human action recognition. Since human actions can be characterized by multiple…
Multiview Hessian regularized logistic regression for action recognition
W. Liu, H. Liu, D. Tao +2
With the rapid development of social media sharing, people often need to manage the growing volume of multimedia data such as large scale video classification and annotation, espec…
Large-Scale Paralleled Sparse Principal Component Analysis
W. Liu, H. Zhang, D. Tao +2
Principal component analysis (PCA) is a statistical technique commonly used in multivariate data analysis. However, PCA can be difficult to interpret and explain since the principa…
Manifold regularized kernel logistic regression for web image annotation
W. Liu, H. Liu, D. Tao +2
With the rapid advance of Internet technology and smart devices, users often need to manage large amounts of multimedia information using smart devices, such as personal image and…