CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共16条,第1-10条 帮助

限定条件                
已选(0)清除 条数/页:   排序方式:
Focal and efficient IOU loss for accurate bounding box regression 期刊论文
NEUROCOMPUTING, 2022, 卷号: 506, 页码: 146-157
作者:  Zhang, Yi-Fan;  Ren, Weiqiang;  Zhang, Zhang;  Jia, Zhen;  Wang, Liang;  Tan, Tieniu
收藏  |  浏览/下载:100/0  |  提交时间:2023/03/20
Object detection  Loss function design  Hard sample mining  
Adaptive super -resolution for person re-identification with low-resolution images 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 114, 页码: 107682
作者:  Han, Ke;  Huang, Yan;  Song, Chunfeng;  Wang, Liang;  Tan, Tieniu
Adobe PDF(2944Kb)  |  收藏  |  浏览/下载:369/44  |  提交时间:2021/05/06
Person re-identification  Super-resolution  Body regions  Adaptive feature integration  
GraphAIR: Graph representation learning with neighborhood aggregation and interaction 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 112, 页码: 11
作者:  Hu, Fenyu;  Zhu, Yanqiao;  Wu, Shu;  Huang, Weiran;  Wang, Liang;  Tan, Tieniu
Adobe PDF(839Kb)  |  收藏  |  浏览/下载:556/239  |  提交时间:2021/03/29
Graph representation learning  Neighborhood aggregation  Graph neural networks  Neighborhood interaction  Node classification  Link prediction  
Learning Aligned Image-Text Representations Using Graph Attentive Relational Network 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 期号: 30, 页码: 1840-1852
作者:  Jing, Ya;  Wang, Wei;  Wang, Liang;  Tan, Tieniu
Adobe PDF(4532Kb)  |  收藏  |  浏览/下载:367/62  |  提交时间:2021/03/08
Graph neural networks  Visualization  Semantics  Task analysis  Feature extraction  Annotations  Recurrent neural networks  Image-text matching  cross-modal retrieval  person search  graph neural network  
Skeleton-based action recognition with hierarchical spatial reasoning and temporal stack learning network 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 107, 期号: 107511, 页码: 12
作者:  Si, Chenyang;  Jing, Ya;  Wang, Wei;  Wang, Liang;  Tan, Tieniu
Adobe PDF(2378Kb)  |  收藏  |  浏览/下载:390/74  |  提交时间:2020/08/31
Skeleton-based action recognition  Hierarchical spatial reasoning  Temporal stack learning  Clip-based incremental loss  
Deep Unbiased Embedding Transfer for Zero-Shot Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 29, 页码: 1958-1971
作者:  Jia, Zhen;  Zhang, Zhang;  Wang, Liang;  Shan, Caifeng;  Tan, Tieniu
浏览  |  Adobe PDF(3428Kb)  |  收藏  |  浏览/下载:428/72  |  提交时间:2020/03/30
Visualization  Feature extraction  Semantics  Training  Seals  Prototypes  Indexes  Zero-shot learning  image classification  projection domain shift  convolutional neural network  generative adversarial network  
Feedback Convolutional Neural Network for Visual Localization and Segmentation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 卷号: 41, 期号: 7, 页码: 1627-1640
作者:  Cao, Chunshui;  Huang, Yongzhen;  Yang, Yi;  Wang, Liang;  Wang, Zilei;  Tan, Tieniu
收藏  |  浏览/下载:339/0  |  提交时间:2019/09/30
feedback  convolutional neural networks (CNNs)  weakly supervised  object localization  object segmentation  
MAPNet: Multi-modal attentive pooling network for RGB-D indoor scene classification 期刊论文
PATTERN RECOGNITION, 2019, 期号: 90, 页码: 436-449
作者:  Li, Yabei;  Zhang, Zhang;  Cheng, Yanhua;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(5797Kb)  |  收藏  |  浏览/下载:428/46  |  提交时间:2019/04/23
Indoor scene classification  Multi-modal fusion  RGB-D  Attentive pooling  
Conditional High-Order Boltzmann Machines for Supervised Relation Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 9, 页码: 4297-4310
作者:  Huang, Yan;  Wang, Wei;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(4175Kb)  |  收藏  |  浏览/下载:465/166  |  提交时间:2017/06/19
Deep Learning  High-order Boltzmann Machine  Relation Learning  Face Verification  Action Similarity Labeling  
Exploring generalized shape analysis by topological representations 期刊论文
PATTERN RECOGNITION LETTERS, 2017, 卷号: 87, 期号: 87, 页码: 177-185
作者:  Zhou, Zhen;  Huang, Yongzhen;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(2603Kb)  |  收藏  |  浏览/下载:449/145  |  提交时间:2017/05/05
Topology  Persistent Homology  Shape Analysis  Gait Recognition  3d Facial Expression Recognition