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Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN plus 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7333-7348
作者:  Cheng, Ke;  Zhang, Yifan;  He, Xiangyu;  Cheng, Jian;  Lu, Hanqing
Adobe PDF(3205Kb)  |  收藏  |  浏览/下载：238/13  |  提交时间：2021/11/03
Skeleton-based action recognition  graph convolutional network  lightweight network  shift network  
Siamese Regression Tracking With Reinforced Template Updating 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 628-640
作者:  Zhao, Fei;  Zhang, Ting;  Song, Yibing;  Tang, Ming;  Wang, Xiaobo;  Wang, Jinqiao
收藏  |  浏览/下载：193/0  |  提交时间：2021/03/02
Target tracking  Training  Reinforcement learning  Visualization  Task analysis  Benchmark testing  Head  Siamese regression tracking  actor-critic network  reinforcement learning  
Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 期号: 29, 页码: 9532-9545
作者:  Shi, Lei;  Zhang, Yifan;  Cheng, Jian;  Lu, Hanqing
浏览  |  Adobe PDF(2849Kb)  |  收藏  |  浏览/下载：355/142  |  提交时间：2020/11/05
Skeleton-based action recognition, graph convolutional network, adaptive graph, multi-stream network.  
Fast A3RL: Aesthetics-Aware Adversarial Reinforcement Learning for Image Cropping 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 10, 页码: 5105-5120
作者:  Li, Debang;  Wu, Huikai;  Zhang, Junge;  Huang, Kaiqi
Adobe PDF(6588Kb)  |  收藏  |  浏览/下载：353/39  |  提交时间：2019/12/16
Reinforcement learning  adversarial learning  image cropping  
Two-Level Attention Network With Multi-Grain Ranking Loss for Vehicle Re-Identification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 9, 页码: 4328-4338
作者:  Guo, Haiyun;  Zhu, Kuan;  Tang, Ming;  Wang, Jinqiao
浏览  |  Adobe PDF(2562Kb)  |  收藏  |  浏览/下载：320/66  |  提交时间：2019/12/16
Two-level attention network  multi-grain ranking loss  vehicle re-identification  feature embedding  
SMART: Joint Sampling and Regression for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 8, 页码: 3923-3935
作者:  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
浏览  |  Adobe PDF(9244Kb)  |  收藏  |  浏览/下载：312/40  |  提交时间：2019/09/30
Visual tracking  deep learning  sampling and regression  
Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 10, 页码: 4765-4776
作者:  Wang, Xinchao;  Fan, Bin;  Chang, Shiyu;  Wang, Zhangyang;  Liu, Xianming;  Tao, Dacheng;  Huang, Thomas S.;  Bin Fan
浏览  |  Adobe PDF(2637Kb)  |  收藏  |  浏览/下载：344/86  |  提交时间：2018/01/03
Multi-object Tracking  Minimum-cost Flows  Batch Processing  Graph Transformation