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Semantic and Correlation Disentangled Graph Convolutions for Multilabel Image Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Cai, Shaofei;  Li, Liang;  Han, Xinzhe;  Huang, Shan;  Tian, Qi;  Huang, Qingming
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Attention mechanism  feature disentangling  graph convolutional network (GCN)  multilabel recognition  
Global-and-Local Collaborative Learning for Co-Salient Object Detection 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12
作者:  Cong, Runmin;  Yang, Ning;  Li, Chongyi;  Fu, Huazhu;  Zhao, Yao;  Huang, Qingming;  Kwong, Sam
收藏  |  浏览/下载：24/0  |  提交时间：2022/12/07
Semantics  Task analysis  Feature extraction  Convolution  Object detection  Computational modeling  Collaborative work  3-D convolution  co-salient object detection (CoSOD)  global correspondence modeling (GCM)  local correspondence modeling (LCM)  
Detecting Small Objects Using a Channel-Aware Deconvolutional Network 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 卷号: 30, 期号: 6, 页码: 1639-1652
作者:  Duan, Kaiwen;  Du, Dawei;  Qi, Honggang;  Huang, Qingming
收藏  |  浏览/下载：44/0  |  提交时间：2020/12/10
Object detection  Feature extraction  Training  Birds  Deconvolution  Proposals  Detectors  Small object detection  channel-aware deconvolution  multi-RPN  anchor matching  
The Unmanned Aerial Vehicle Benchmark: Object Detection, Tracking and Baseline 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2019, 页码: 19
作者:  Yu, Hongyang;  Li, Guorong;  Zhang, Weigang;  Huang, Qingming;  Du, Dawei;  Tian, Qi;  Sebe, Nicu
收藏  |  浏览/下载：50/0  |  提交时间：2020/12/10
UAV  Object detection  Single object tracking  Multiple object tracking  
A Hierarchical CNN-RNN Approach for Visual Emotion Classification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2019, 卷号: 15, 期号: 3, 页码: 17
作者:  Li, Liang;  Zhu, Xinge;  Hao, Yiming;  Wang, Shuhui;  Gao, Xingyu;  Huang, Qingming
收藏  |  浏览/下载：36/0  |  提交时间：2020/12/10
Visual emotion recognition  multi-task learning  feature fusing  hierarchical CNN-RNN  stacked bi-directional RNN