中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共12条，第1-10条 帮助

限定条件                            
已选(0)清除 条数/页：   排序方式：
Surveillance Face Anti-Spoofing 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 卷号: 19, 页码: 1535-1546
作者:  Fang, Hao;  Liu, Ajian;  Wan, Jun;  Escalera, Sergio;  Zhao, Chenxu;  Zhang, Xu;  Li, Stan Z.;  Lei, Zhen
Adobe PDF(3072Kb)  |  收藏  |  浏览/下载：104/10  |  提交时间：2024/02/22
Face anti-spoofing  dataset  surveillance scenes  
FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2023, 卷号: 18, 页码: 4775-4786
作者:  Liu, Ajian;  Tan, Zichang;  Yu, Zitong;  Zhao, Chenxu;  Wan, Jun;  Liang, Yanyan;  Lei, Zhen;  Zhang, Du;  Li, Stan Z.;  Guo, Guodong
Adobe PDF(10966Kb)  |  收藏  |  浏览/下载：196/5  |  提交时间：2023/11/17
Face anti-spoofing  flexible-modal testing  vision transformer  mutual-attention  fusion-attention  
Divergence-Driven Consistency Training for Semi-Supervised Facial Age Estimation 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2023, 卷号: 18, 页码: 221-232
作者:  Bao, Zenghao;  Tan, Zichang;  Wan, Jun;  Ma, Xibo;  Guo, Guodong;  Lei, Zhen
Adobe PDF(2674Kb)  |  收藏  |  浏览/下载：265/9  |  提交时间：2023/02/22
Facial age estimation  semi-supervised  efficient sample selection  identity consistency  
Weakly Aligned Feature Fusion for Multimodal Object Detection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Zhang, Lu;  Liu, Zhiyong;  Zhu, Xiangyu;  Song, Zhan;  Yang, Xu;  Lei, Zhen;  Qiao, Hong
Adobe PDF(19222Kb)  |  收藏  |  浏览/下载：264/14  |  提交时间：2022/01/27
Object detection  Feature extraction  Detectors  Robustness  Cameras  Automation  Training  Deep learning  feature fusion  multimodal object detection  pedestrian detection  
Decomposed Meta Batch Normalization for Fast Domain Adaptation in Face Recognition 期刊论文
IEEE Transactions on Information Forensics and Security, 2021, 卷号: 16, 期号: -, 页码: 3082-3095
作者:  Guo JZ(郭建珠);  Zhu XY(朱翔昱);  Lei Z(雷震);  Li ZQ(李子青)
Adobe PDF(4808Kb)  |  收藏  |  浏览/下载：246/61  |  提交时间：2021/05/31
Face recognition  unsupervised domain adaptation  meta-learning  batch normalization  
Faceboxes: A CPU real-time and accurate unconstrained face detector 期刊论文
NEUROCOMPUTING, 2019, 期号: 364, 页码: 297-309
作者:  Zhang, Shifeng;  Wang, Xiaobo;  Lei, Zhen;  Li, Stan Z.
浏览  |  Adobe PDF(5723Kb)  |  收藏  |  浏览/下载：344/56  |  提交时间：2019/12/16
Face detection  CPU real-time  Convolutional neural network  
Dominant and Complementary Emotion Recognition From Still Images of Faces 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 26391-26403
作者:  Guo, Jianzhu;  Lei, Zhen;  Wan, Jun;  Avots, Egils;  Hajarolasvadi, Noushin;  Knyazev, Boris;  Kuharenko, Artem;  Silveira Jacques Junior, Julio C.;  Baro, Xavier;  Demirel, Hasan;  Escalera, Sergio;  Allik, Jueri;  Anbarjafari, Gholamreza
浏览  |  Adobe PDF(14104Kb)  |  收藏  |  浏览/下载：362/82  |  提交时间：2018/10/04
Dominant and complementary emotion recognition  compound emotions  fine-grained face emotion dataset  
Dependence-Aware Feature Coding for Person Re-Identification 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2018, 卷号: 25, 期号: 4, 页码: 506-510
作者:  Wang, Xiaobo;  Lei, Zhen;  Liao, Shengcai;  Guo, Xiaojie;  Yang, Yang;  Li, Stan Z.
Adobe PDF(163Kb)  |  收藏  |  浏览/下载：459/158  |  提交时间：2018/06/06
Feature Coding  Person Re-identification  
Multi-label convolutional neural network based pedestrian attribute classification 期刊论文
IMAGE AND VISION COMPUTING, 2017, 卷号: 58, 页码: 224-229
作者:  Zhu, Jianqing;  Liao, Shengcai;  Lei, Zhen;  Li, Stan Z.
Adobe PDF(1036Kb)  |  收藏  |  浏览/下载：479/214  |  提交时间：2017/05/05
Pedestrian Attribute Classification  Multi-label Classification  Convolutional Neural Network  
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：432/137  |  提交时间：2017/02/14
Discontinuity  Image Gradient  Order Features  Sparse Representation  Subspace Learning