中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共23条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Hierarchical image-to-image translation with nested distributions modeling 期刊论文
PATTERN RECOGNITION, 2024, 卷号: 146, 页码: 12
作者:  Qiao, Shishi;  Wang, Ruiping;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Image-to-image translation  Distribution modeling  Information entropy  Generative adversarial network  
Importance First: Generating Scene Graph of Human Interest 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2023, 页码: 27
作者:  Wang, Wenbin;  Wang, Ruiping;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Key relationship  Hierarchical entity tree  Hierarchical contextual propagation  Relationship ranking  Spatial scale  Visual saliency  
BLPSeg: Balance the Label Preference in Scribble-Supervised Semantic Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 4921-4934
作者:  Wang, Yude;  Zhang, Jie;  Kan, Meina;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Annotations  Semantic segmentation  Training  Task analysis  Head  Semantics  Costs  Scribble-supervised  weakly supervised  semantic segmentation  
CMOS-GAN: Semi-Supervised Generative Adversarial Model for Cross-Modality Face Image Synthesis 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 144-158
作者:  Yu, Shikang;  Han, Hu;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
Cross-modality synthesis  semi-supervised synthesis  cross-modality face recognition  generative adversarial networks  
Learning pseudo labels for semi-and-weakly supervised semantic segmentation 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 132, 页码: 10
作者:  Wang, Yude;  Zhang, Jie;  Kan, Meina;  Shan, Shiguang
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
Semi -supervised  Weakly supervised  Semi -and -weakly supervised  Semantic segmentation  Pseudo label  Self-training  
Interactive Regression and Classification for Dense Object Detector 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3684-3696
作者:  Zhou, Linmao;  Chang, Hong;  Ma, Bingpeng;  Shan, Shiguang
收藏  |  浏览/下载：18/0  |  提交时间：2022/12/07
Location awareness  Detectors  Feature extraction  Object detection  Standards  Backpropagation  Pipelines  Dense object detector  localization information  interactive  
Graph Jigsaw Learning for Cartoon Face Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3961-3972
作者:  Li, Yong;  Lao, Lingjie;  Cui, Zhen;  Shan, Shiguang;  Yang, Jian
收藏  |  浏览/下载：22/0  |  提交时间：2022/12/07
Face recognition  Shape  Training  Image color analysis  Layout  Convolutional neural networks  Task analysis  Cartoon face recognition  jigsaw solving  graph convolutional network  self-supervised learning  
Motion Feature Aggregation for Video-Based Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3908-3919
作者:  Gu, Xinqian;  Chang, Hong;  Ma, Bingpeng;  Shan, Shiguang
收藏  |  浏览/下载：20/0  |  提交时间：2022/12/07
Feature extraction  Optical imaging  Computational modeling  Spatiotemporal phenomena  Data mining  Training  Tracking  Video-based person re-identification  temporal information modeling  motion feature extraction  
IAUnet: Global Context-Aware Feature Learning for Person Reidentification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4460-4474
作者:  Hou, Ruibing;  Ma, Bingpeng;  Chang, Hong;  Gu, Xinqian;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：35/0  |  提交时间：2021/12/01
Context modeling  Feature extraction  Computational modeling  Semantics  Aggregates  Visualization  Task analysis  Feature enhancing  interaction-aggregation  person reidentification (reID)  spatial-temporal context modeling  
Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 8, 页码: 3458-3470
作者:  Lai, Nan;  Kan, Meina;  Han, Chunrui;  Song, Xingguang;  Shan, Shiguang
收藏  |  浏览/下载：35/0  |  提交时间：2021/12/01
Task analysis  Adaptation models  Training  Predictive models  Feature extraction  Generators  Computational modeling  Few-shot learning  meta-learning  predict classifier weights  task-adaptive predictor