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CASIA OpenIR
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An Efficient Sampling-Based Attention Network for Semantic Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2850-2863
作者:  He, Xingjian;  Liu, Jing;  Wang, Weining;  Lu, Hanqing
Adobe PDF(3252Kb)  |  收藏  |  浏览/下载：399/80  |  提交时间：2022/06/10
Stochastic processes  Sampling methods  Semantics  Image segmentation  Computational complexity  Pattern recognition  Convolution  Semantic segmentation  stochastic sampling-based attention  deterministic sampling-based attention  
Enhanced Bounding Box Estimation with Distribution Calibration for Visual Tracking 期刊论文
SENSORS, 2021, 卷号: 21, 期号: 23, 页码: 14
作者:  Yu, Bin;  Tang, Ming;  Zhu, Guibo;  Wang, Jinqiao;  Lu, Hanqing
Adobe PDF(10825Kb)  |  收藏  |  浏览/下载：434/74  |  提交时间：2022/02/16
visual tracking  bounding box estimation  overlap maximization  distribution calibration  
Question-Guided Erasing-Based Spatiotemporal Attention Learning for Video Question Answering 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 0
作者:  Liu, Fei;  Liu, Jing;  Hong, Richang;  Lu, Hanqing
Adobe PDF(3550Kb)  |  收藏  |  浏览/下载：371/93  |  提交时间：2022/01/27
video question answering  attention mechanism  metric learning  
Visual Question Answering With Dense Inter- and Intra-Modality Interactions 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 3518-3529
作者:  Liu, Fei;  Liu, Jing;  Fang, Zhiwei;  Hong, Richang;  Lu, Hanqing
Adobe PDF(2891Kb)  |  收藏  |  浏览/下载：341/77  |  提交时间：2021/12/28
Visualization  Knowledge discovery  Connectors  Encoding  Task analysis  Image coding  Stacking  Visual question answering  attention  dense interactions  
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：300/16  |  提交时间：2021/11/03
Skeleton-based action recognition  graph convolutional network  lightweight network  shift network  
Skeleton-Based Action Recognition with Directed Graph Neural Networks 会议论文
, Long Beach, CA, United states, June 16, 2019 - June 20, 2019
作者:  Shi L(史磊);  Zhang YF(张一帆);  Cheng J(程健);  Lu HQ(卢汉清)
Adobe PDF(554Kb)  |  收藏  |  浏览/下载：186/62  |  提交时间：2021/05/31
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition 会议论文
, Long Beach, CA, United states, June 16, 2019 - June 20, 2019
作者:  Shi, Lei;  Zhang, Yifan;  Cheng, Jian;  Lu, Hanqing
Adobe PDF(691Kb)  |  收藏  |  浏览/下载：267/69  |  提交时间：2021/01/26
Show, Tell, and Polish: Ruminant Decoding for Image Captioning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 8, 页码: 2149-2162
作者:  Guo, Longteng;  Liu, Jing;  Lu, Shichen;  Lu, Hanqing
Adobe PDF(4378Kb)  |  收藏  |  浏览/下载：242/38  |  提交时间：2020/08/31
Image captioning  Multi-pass decoding  Rumination  
Skeleton-Based Action Recognition With Gated Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 11, 页码: 3247-3257
作者:  Cao, Congqi;  Lan, Cuiling;  Zhang, Yifan;  Zeng, Wenjun;  Lu, Hanqing;  Zhang, Yanning
收藏  |  浏览/下载：309/0  |  提交时间：2020/03/30
Skeleton  Logic gates  Task analysis  Recurrent neural networks  Matrix converters  Three-dimensional displays  Convolutional neural networks  Skeleton  action recognition  gated connection  convolutional neural networks  
Pixelwise Deep Sequence Learning for Moving Object Detection 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 9, 页码: 2567-2579
作者:  Chen, Yingying;  Wang, Jinqiao;  Zhu, Bingke;  Tang, Ming;  Lu, Hanqing
收藏  |  浏览/下载：296/0  |  提交时间：2019/12/16
Moving object detection  background modeling  moving object proposal  convolutional neural networks