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Learning Hierarchical Modular Networks for Video Captioning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 2, 页码: 1049-1064
作者:  Li, Guorong;  Ye, Hanhua;  Qi, Yuankai;  Wang, Shuhui;  Qing, Laiyun;  Huang, Qingming;  Yang, Ming-Hsuan
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Video captioning  hierarchical modular network  scene-graph reward  reinforcement learning  
Optimizing Two-Way Partial AUC With an End-to-End Framework 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 10228-10246
作者:  Yang, Zhiyong;  Xu, Qianqian;  Bao, Shilong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
AUC Optimization  machine learning  partial AUC  
MaxMatch: Semi-Supervised Learning With Worst-Case Consistency 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 5, 页码: 5970-5987
作者:  Jiang, Yangbangyan;  Li, Xiaodan;  Chen, Yuefeng;  He, Yuan;  Xu, Qianqian;  Yang, Zhiyong;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Predictive models  Training  Data models  Semantics  Perturbation methods  Computational modeling  Benchmark testing  Semi-supervised learning  consistency regularization  worst-case consistency  image classification  
PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 4472-4485
作者:  Cong, Runmin;  Yang, Wenyu;  Zhang, Wei;  Li, Chongyi;  Guo, Chun-Le;  Huang, Qingming;  Kwong, Sam
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Underwater image enhancement  generative adversarial network  physical model  degradation quantization  
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 1, 页码: 1017-1035
作者:  Bao, Shilong;  Xu, Qianqian;  Yang, Zhiyong;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
Recommendation system  collaborative metric learning  negative sampling  machine learning  
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)  
Harmonized Multimodal Learning with Gaussian Process Latent Variable Models 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 3, 页码: 858-872
作者:  Song, Guoli;  Wang, Shuhui;  Huang, Qingming;  Tian, Qi
收藏  |  浏览/下载：37/0  |  提交时间：2021/12/01
Multimodal learning  Gaussian process  latent variable modeling  cross-modal retrieval  
Decomposition and Completion Network for Salient Object Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 6226-6239
作者:  Wu, Zhe;  Su, Li;  Huang, Qingming
收藏  |  浏览/下载：36/0  |  提交时间：2021/12/01
Image edge detection  Skeleton  Task analysis  Object detection  Predictive models  Feature extraction  Decoding  Salient object detection  cross-task aggregation  cross-layer aggregation  saliency completion  
Two-stream deep sparse network for accurate and efficient image restoration 期刊论文
COMPUTER VISION AND IMAGE UNDERSTANDING, 2020, 卷号: 200, 页码: 11
作者:  Wang, Shuhui;  Hu, Ling;  Li, Liang;  Zhang, Weigang;  Huang, Qingming
收藏  |  浏览/下载：294/0  |  提交时间：2020/12/10
Two-stream sparse network  Image restoration  Image super-resolution  Image denoising  
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：51/0  |  提交时间：2020/12/10
UAV  Object detection  Single object tracking  Multiple object tracking