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From Individual to Whole: Reducing Intra-class Variance by Feature Aggregation 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2022, 卷号: 130, 期号: 3, 页码: 800-819
作者:  Zhang, Zhaoxiang;  Luo, Chuanchen;  Wu, Haiping;  Chen, Yuntao;  Wang, Naiyan;  Song, Chunfeng
Adobe PDF(1762Kb)  |  收藏  |  浏览/下载：314/43  |  提交时间：2022/06/06
Feature aggregation  Deep learning  Intra-class variance  Person re-identification  Video object detection  
Cascaded Split-and-Aggregate Learning with Feature Recombination for Pedestrian Attribute Recognition 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 14
作者:  Yang, Yang;  Tan, Zichang;  Tiwari, Prayag;  Pandey, Hari Mohan;  Wan, Jun;  Lei, Zhen;  Guo, Guodong;  Li, Stan Z.
Adobe PDF(1831Kb)  |  收藏  |  浏览/下载：306/4  |  提交时间：2021/11/02
Pedestrian attribute recognition  Attention  Split-and-aggregate learning  Feature recombination  
CR-Net: A Deep Classification-Regression Network for Multimodal Apparent Personality Analysis 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2020, 页码: 18
作者:  Li, Yunan;  Wan, Jun;  Miao, Qiguang;  Escalera, Sergio;  Fang, Huijuan;  Chen, Huizhou;  Qi, Xiangda;  Guo, Guodong
Adobe PDF(4573Kb)  |  收藏  |  浏览/下载：299/4  |  提交时间：2020/06/02
Personality traits  Multimodal data  Convolutional neural networks  Classification-regression network  Bell Loss function  
Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2017, 卷号: 122, 期号: 2, 页码: 313-333
作者:  Wen, Longyin;  Lei, Zhen;  Chang, Ming-Ching;  Qi, Honggang;  Lyu, Siwei
Adobe PDF(3996Kb)  |  收藏  |  浏览/下载：374/105  |  提交时间：2017/07/18
Multi-camera Multi-target Tracking  Single-camera Multi-target Tracking  Space-time-view Hyper-graph  Dense Sub-hypergraph Search  
Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2016, 卷号: 119, 期号: 3, 页码: 329-345
作者:  Zhao, Fang;  Huang, Yongzhen;  Wang, Liang;  Xiang, Tao;  Tan, Tieniu
Adobe PDF(6286Kb)  |  收藏  |  浏览/下载：445/142  |  提交时间：2016/10/20
Representation Learning  Video Analysis  Restricted Boltzmann Machine  Sparse Bayesian Learning  
Fusing Features and Local Features with Context-Aware Kernels for Action Recognition 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2016, 卷号: 118, 期号: 2, 页码: 151-171
作者:  Yuan, Chunfeng;  Wu, Baoxin;  Li, Xi;  Hu, Weiming;  Maybank, Stephen;  Wang, Fangshi
浏览  |  Adobe PDF(3979Kb)  |  收藏  |  浏览/下载：517/143  |  提交时间：2016/04/06
Action Recognition  Spatio-temporal Interest Points  3d r Transform  Hypergraph  Context-aware Kernel  
A Robust Tracking System for Low Frame Rate Video 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2015, 卷号: 115, 期号: 3, 页码: 279-304
作者:  Zhang, Xiaoqin;  Hu, Weiming;  Xie, Nianhua;  Bao, Hujun;  Maybank, Stephen
浏览  |  Adobe PDF(2788Kb)  |  收藏  |  浏览/下载：332/70  |  提交时间：2016/01/18
Low Frame Rate  Tracking  Dominant Color  Bin-ratio Matching Metric  Particle Swarm Optimization  
Image Deblurring with Coupled Dictionary Learning 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2015, 卷号: 114, 期号: 2-3, 页码: 248-271
作者:  Xiang, Shiming;  Meng, Gaofeng;  Wang, Ying;  Pan, Chunhong;  Zhang, Changshui
浏览  |  Adobe PDF(7526Kb)  |  收藏  |  浏览/下载：365/82  |  提交时间：2015/10/13
Image Deblurring  Coupled Dictionary Learning  Sparse Representation  Multiple Kernel Deblurring  
An Improved Hierarchical Dirichlet Process-Hidden Markov Model and Its Application to Trajectory Modeling and Retrieval 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2013, 卷号: 105, 期号: 3, 页码: 246-268
作者:  Hu, Weiming;  Tian, Guodong;  Li, Xi;  Maybank, Stephen
收藏  |  浏览/下载：178/0  |  提交时间：2015/08/12
Hierarchical Dirichlet Process  Hidden Markov Model  Trajectory Analysis  Video Retrieval  
Dense Trajectories and Motion Boundary Descriptors for Action Recognition 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2013, 卷号: 103, 期号: 1, 页码: 60-79
作者:  Wang, Heng;  Klaeser, Alexander;  Schmid, Cordelia;  Liu, Cheng-Lin
收藏  |  浏览/下载：1007/0  |  提交时间：2015/08/12
Action Recognition  Dense Trajectories  Motion Boundary Histograms