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ChaLearn Looking at People: IsoGD and ConGD Large-Scale RGB-D Gesture Recognition 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 5, 页码: 3422-3433
作者:  Wan, Jun;  Lin, Chi;  Wen, Longyin;  Li, Yunan;  Miao, Qiguang;  Escalera, Sergio;  Anbarjafari, Gholamreza;  Guyon, Isabelle;  Guo, Guodong;  Li, Stan Z.
收藏  |  浏览/下载：175/0  |  提交时间：2022/07/25
Gesture recognition  Measurement  Task analysis  Training  Conferences  Computer vision  Bidirectional long short-term memory (Bi-LSTM)  gesture recognition  RGB-D  
Task-Oriented Feature-Fused Network With Multivariate Dataset for Joint Face Analysis 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 3, 页码: 1292-1305
作者:  Lin, Xuxin;  Wan, Jun;  Xie, Yiliang;  Zhang, Shifeng;  Lin, Chi;  Liang, Yanyan;  Guo, Guodong;  Li, Stan Z.
浏览  |  Adobe PDF(3737Kb)  |  收藏  |  浏览/下载：326/79  |  提交时间：2020/03/30
Face  Task analysis  Training  Face recognition  Facial features  Pipelines  Attribute analysis  face analysis  face detection  landmark localization  multitask learning  
RefineFace: Refinement Neural Network for High Performance Face Detection 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 期号: 0, 页码: 0
作者:  Zhang, Shifeng;  Chi, Cheng;  Lei, Zhen;  Li, Stan Z.
浏览  |  Adobe PDF(5938Kb)  |  收藏  |  浏览/下载：161/42  |  提交时间：2020/06/08
Face detection, refinement network, high performance  
Label Distribution-Based Facial Attractiveness Computation by Deep Residual Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2018, 卷号: 20, 期号: 8, 页码: 2196-2208
作者:  Fan, Yang-Yu;  Liu, Shu;  Li, Bo;  Guo, Zhe;  Samal, Ashok;  Wan, Jun;  Li, Stan Z.
浏览  |  Adobe PDF(1377Kb)  |  收藏  |  浏览/下载：324/67  |  提交时间：2018/01/04
Facial attractiveness computation  deep residual network  label distribution  feature fusion  SCUT-FBP  
A Unified Framework for Multi-Modal Isolated Gesture Recognition 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2018, 卷号: 14, 期号: 1, 页码: 16
作者:  Duan, Jiali;  Wan, Jun;  Zhou, Shuai;  Guo, Xiaoyuan;  Li, Stan Z.
浏览  |  Adobe PDF(6349Kb)  |  收藏  |  浏览/下载：499/203  |  提交时间：2017/09/13
Multi-modal  consensus-voting  3D convolution  isolated gesture recognition  
Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 11, 页码: 2656-2669
作者:  Ren, Chuan-Xian;  Lei, Zhen;  Dai, Dao-Qing;  Li, Stan Z.
Adobe PDF(1998Kb)  |  收藏  |  浏览/下载：360/119  |  提交时间：2017/02/14
Discontinuity  Image Gradient  Order Features  Sparse Representation  Subspace Learning  
Learning Stacked Image Descriptor for Face Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2016, 卷号: 26, 期号: 9, 页码: 1685-1696
作者:  Lei, Zhen;  Yi, Dong;  Li, Stan Z.
Adobe PDF(5197Kb)  |  收藏  |  浏览/下载：362/143  |  提交时间：2016/12/26
Deep Discriminant Face Representation  Face Recognition  Learning-based Descriptor  Stacked Image Descriptor (Sid)  
Explore Efficient Local Features from RGB-D Data for One-Shot Learning Gesture Recognition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2016, 卷号: 38, 期号: 8, 页码: 1626-1639
作者:  Wan, Jun;  Guo, Guodong;  Li, Stan Z.;  Jun Wan
浏览  |  Adobe PDF(771Kb)  |  收藏  |  浏览/下载：474/222  |  提交时间：2016/10/20
One-shot Learning  Gesture Reco Gnition  Rgb-d Data  Bag Of Visual Words Model  
A Fast and Accurate Unconstrained Face Detector 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2016, 卷号: 38, 期号: 2, 页码: 211-223
作者:  Liao, Shengcai;  Jain, Anil K.;  Li, Stan Z.
Adobe PDF(19087Kb)  |  收藏  |  浏览/下载：296/53  |  提交时间：2016/06/14
Unconstrained Face Detection  Normalized Pixel Difference  Deep Quadratic Tree  Adaboost  Cascade Classifier  
Moving Object Detection Revisited: Speed and Robustness 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2015, 卷号: 25, 期号: 6, 页码: 910-921
作者:  Han, Hong;  Zhu, Jianfei;  Liao, Shengcai;  Lei, Zhen;  Li, Stan Z.
Adobe PDF(2388Kb)  |  收藏  |  浏览/下载：222/35  |  提交时间：2015/09/23
Block Based  Integrated Information  Moving Object  Object Detection  Single Histogram Model