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Web Objectionable Video Recognition Based on Deep Multi-Instance Learning With Representative Prototypes Selection 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 3, 页码: 1222-1233
Authors:  Ding, Xinmiao;  Li, Bing;  Li, Yangxi;  Guo, Wen;  Liu, Yao;  Xiong, Weihua;  Hu, Weiming
Favorite  |  View/Download:18/0  |  Submit date:2021/04/27
Feature extraction  Prototypes  Visualization  Support vector machines  Machine learning  Streaming media  Spectrogram  Representative prototype selection  objectionable video recognition  deep learning  
Anchor-Free One-Stage Online Multi-Object Tracking 会议论文
, 中国,南京, 2020-10
Authors:  Zhou, Zongwei;  Li, Yangxi;  Gao, Jin;  Xing, Junliang;  Li, Liang;  Hu, Weiming
Adobe PDF(634Kb)  |  Favorite  |  View/Download:2/0  |  Submit date:2021/06/23
Anchor-Free · One-Stage · Multi-Object Tracking  
Anisotropic Convolution for Image Classification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 99, 页码: 5584-5595
Authors:  Li, Wenjuan;  Li, Bing;  Yuan, Chunfeng;  Li, Yangxi;  Wu, Haohao;  Hu, Weiming;  Wang, Fangshi
Favorite  |  View/Download:20/0  |  Submit date:2020/10/16
Anisotropic convolution  image classification  object localization  
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 期号: 0, 页码: 0
Authors:  Ruan, Xiaofeng;  Liu, Yufan;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming;  Li, Yangxi;  Maybank, Stephen
Adobe PDF(3625Kb)  |  Favorite  |  View/Download:3/0  |  Submit date:2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning  
Anisotropic Convolution for Image Classification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 5584-5595
Authors:  Li, Wenjuan;  Li, Bing;  Yuan, Chunfeng;  Li, Yangxi;  Wu, Haohao;  Hu, Weiming;  Wang, Fangshi
Favorite  |  View/Download:56/0  |  Submit date:2020/06/22
Convolution  Shape  Kernel  Feature extraction  Task analysis  Training  Neural networks  Anisotropic convolution  image classification  object localization  
Context-Dependent Random Walk Graph Kernels and Tree Pattern Graph Matching Kernels With Applications to Action Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 10, 页码: 5060-5075
Authors:  Hu, Weiming;  Wu, Baoxin;  Wang, Pei;  Yuan, Chunfeng;  Li, Yangxi;  Maybank, Stephen
Favorite  |  View/Download:54/0  |  Submit date:2019/12/16
Visual action recognition  graph kernel  graph matching  contexts  tree patterns  
Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification 会议论文
Procedings of European Conference on Computer Vision (ECCV2018), Munich, Germany, 2018-09-08---2018-09-14
Authors:  Du Y(杜杨);  Chunfeng Yuan;  Bing Li;  Lili Zhao;  Yangxi Li;  Weiming Hu
View  |  Adobe PDF(6727Kb)  |  Favorite  |  View/Download:86/14  |  Submit date:2019/04/22
Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 10, 页码: 2335-2347
Authors:  Qiao, Hong;  Li, Yinlin;  Li, Fengfu;  Xi, Xuanyang;  Wu, Wei
View  |  Adobe PDF(2781Kb)  |  Favorite  |  View/Download:246/83  |  Submit date:2016/06/21
Biologically Inspired  Hierarchical Model  Key Components Learning  Semantic Description  
A biologically inspired model mimicking the memory and two distinct pathways of face perception 期刊论文
NEUROCOMPUTING, 2016, 期号: 205, 页码: 349-359
Authors:  Xi, Xuanyang;  Yin, Peijie;  Qiao, Hong;  Li, Yinlin;  Feng, Wensen
View  |  Adobe PDF(1899Kb)  |  Favorite  |  View/Download:200/39  |  Submit date:2016/10/20
Biologically Inspired Model (Bim)  Face Perception  Memory  Component-based  
Grasp type understanding - classification, localization and clustering 会议论文
PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), Guilin, PEOPLES R CHINA, JUN 12-15, 2016
Authors:  Li, Yinlin;  Zhang, Yuren;  Qiao, Hong;  Chen, Ken;  Xi, Xuanyang;  Li, YL
View  |  Adobe PDF(576Kb)  |  Favorite  |  View/Download:211/67  |  Submit date:2017/01/13
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