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Automatic Detection and Fitting of Ellipse Markers Using EllipseNet 会议论文
, Montréal, Québec, August 21-25, 2022
作者:  Zhengda Qian;  Fulin Tang;  Bingxi Liu;  Yujie Fu;  Shaohuan Wu;  Xiaohong Jia;  Yihong Wu
Adobe PDF(9937Kb)  |  收藏  |  浏览/下载：246/56  |  提交时间：2022/06/16
Rethinking the Competition Between Detection and ReID in Multiobject Tracking 期刊论文
IEEE Transactions on Image Processing, 2022, 卷号: 31, 页码: 3182-3196
作者:  Liang, Chao;  Zhang, Zhipeng;  Zhou, Xue;  Zhu, Shuyuan;  Li, Bing;  Hu, Weiming
Adobe PDF(13361Kb)  |  收藏  |  浏览/下载：188/33  |  提交时间：2022/06/14
InteractGAN: Learning to Generate Human-Object Interaction 会议论文
, 美国西雅图, 2020年10月12日 – 2020年10月16日
作者:  Gao, Chen;  Liu, Si;  Zhu, Defa;  Liu, Quan;  Cao, Jie;  He, Haoqian;  He, Ran;  Yan, Shuicheng
Adobe PDF(10185Kb)  |  收藏  |  浏览/下载：134/16  |  提交时间：2021/06/16
A novel hardware-oriented ultra-high-speed object detection algorithm based on convolutional neural network 期刊论文
JOURNAL OF REAL-TIME IMAGE PROCESSING, 2019, 期号: 17, 页码: 1703-1714
作者:  Li, Jianquan;  Long, Xianlei;  Hu, Shenhua;  Hu, Yiming;  Gu, Qingyi;  Xu, De
Adobe PDF(1879Kb)  |  收藏  |  浏览/下载：280/43  |  提交时间：2020/08/03
FPGA implementation  High-speed vision  Fast-object detection  Convolutional neural network  
Energy-Efficient IoT Service Composition for Concurrent Timed Applications 期刊论文
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 2019, 2019, 2019, 2019, 卷号: 100, 100, 100, 100, 100, 页码: 1017-1030, 1017-1030, 1017-1030, 1017-1030, 1017-1030
作者:  Sun, Mengyu;  Zhou, Zhangbing;  Wang, Junping;  Du, Chu;  Gaaloul, Walid
Adobe PDF(1192Kb)  |  收藏  |  浏览/下载：231/39  |  提交时间：2020/03/30
IoT service composition  Temporal constraints  Concurrent requests  Energy efficiency  IoT service composition  Temporal constraints  IoT service composition  IoT service composition  IoT service composition  Concurrent requests  Temporal constraints  Temporal constraints  Temporal constraints  Energy efficiency  Concurrent requests  Concurrent requests  Concurrent requests  Energy efficiency  Energy efficiency  Energy efficiency  
Re-KISSME: A robust resampling scheme for distance metric learning in the presence of label noise 期刊论文
NEUROCOMPUTING, 2019, 卷号: 330, 期号: 22, 页码: 138-150
作者:  Zeng, Fanxia;  Zhang, Wensheng;  Zhang, Siheng;  Zheng, Nan
浏览  |  Adobe PDF(917Kb)  |  收藏  |  浏览/下载：375/57  |  提交时间：2019/07/12
Resampling scheme  KISSME  Distance metric learning  Label noise  
Fast object detection based on binary deep convolution neural networks 期刊论文
CAAI Transactions on Intelligence Technology, 2018, 卷号: 3, 期号: 4, 页码: 191-197
作者:  Sun, Siyang;  Yin, Yingjie;  Wang, Xingang;  Xu, De;  Gu, Qingyi;  Wu, Wenqi
浏览  |  Adobe PDF(3236Kb)  |  收藏  |  浏览/下载：198/45  |  提交时间：2020/06/08
Object detection  
Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification 会议论文
Procedings of European Conference on Computer Vision (ECCV2018), Munich, Germany, 2018-09-08---2018-09-14
作者:  Du Y(杜杨);  Chunfeng Yuan;  Bing Li;  Lili Zhao;  Yangxi Li;  Weiming Hu
浏览  |  Adobe PDF(6727Kb)  |  收藏  |  浏览/下载：255/88  |  提交时间：2019/04/22
Single Shot Feature Aggregation Network for Underwater Object Detection 会议论文
, Beijing, China, 2018-8
作者:  Zhang, Lu;  Yang, Xu;  Liu, Zhiyong;  Qi, Lu;  Zhou, Hao;  Chiu, Charles
Adobe PDF(451Kb)  |  收藏  |  浏览/下载：108/41  |  提交时间：2021/06/22
A Novel Biologically Inspired Visual Cognition Model: Automatic Extraction of Semantics, Formation of Integrated Concepts, and Reselection Features for Ambiguity 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2018, 卷号: 10, 期号: 2, 页码: 420-431
作者:  Yin, Peijie;  Qiao, Hong;  Wu, Wei;  Qi, Lu;  Li, Yinlin;  Zhong, Shanlin;  Zhang, Bo
浏览  |  Adobe PDF(3887Kb)  |  收藏  |  浏览/下载：321/72  |  提交时间：2018/10/09
Biologically inspired model  object recognition  semantic learning  structural learning