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Toward Egocentric Compositional Action Anticipation with Adaptive Semantic Debiasing 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2024, 卷号: 20, 期号: 5, 页码: 21
作者:  Zhang, Tianyu;  Min, Weiqing;  Liu, Tao;  Jiang, Shuqiang;  Rui, Yong
收藏  |  浏览/下载：8/0  |  提交时间：2024/05/20
Egocentric video understanding  compositional action anticipation  semantic bias  adaptive counterfactual analysis  
Enhancing Face Recognition With Detachable Self-Supervised Bypass Networks 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 1588-1599
作者:  He, Mingjie;  Zhang, Jie;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：6/0  |  提交时间：2024/05/20
Face recognition  Task analysis  Three-dimensional displays  Training  Supervised learning  Self-supervised learning  Image reconstruction  bypass enhanced representation learning  3D reconstruction bypass  blind inpainting bypass  
Rényi Entropy Rate of Stationary Ergodic Processes 期刊论文
IEEE TRANSACTIONS ON INFORMATION THEORY, 2024, 卷号: 70, 期号: 1, 页码: 1-15
作者:  Wu, Chengyu;  Li, Yonglong;  Xu, Li;  Han, Guangyue
收藏  |  浏览/下载：7/0  |  提交时间：2024/05/20
R & eacute  ergodic processes  hidden Markov models  hidden Markov models  cutting and stacking method  nyi entropy rate  
Streamlining spatial omics data analysis with Pysodb 期刊论文
NATURE PROTOCOLS, 2023, 页码: 72
作者:  Lin, Senlin;  Zhao, Fangyuan;  Wu, Zihan;  Yao, Jianhua;  Zhao, Yi;  Yuan, Zhiyuan
收藏  |  浏览/下载：7/0  |  提交时间：2024/05/20
Maritime greenhouse gas emission estimation and forecasting through AIS data analytics: a case study of Tianjin port in the context of sustainable development 期刊论文
FRONTIERS IN MARINE SCIENCE, 2023, 卷号: 10, 页码: 17
作者:  Xie, Wenxin;  Li, Yong;  Yang, Yang;  Wang, Peng;  Wang, Zhishan;  Li, Zhaoxuan;  Mei, Qiang;  Sun, Yaqi
收藏  |  浏览/下载：6/0  |  提交时间：2024/05/20
greenhouse gas  emission inventory  AIS  transformer  emission prediction  
MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 11, 页码: 4112-4125
作者:  Zhu, Zhenhua;  Sun, Hanbo;  Xie, Tongxin;  Zhu, Yu;  Dai, Guohao;  Xia, Lixue;  Niu, Dimin;  Chen, Xiaoming;  Hu, Xiaobo Sharon;  Cao, Yu;  Xie, Yuan;  Yang, Huazhong;  Wang, Yu
收藏  |  浏览/下载：6/0  |  提交时间：2024/05/20
Computational modeling  Computer architecture  Integrated circuit modeling  Scheduling  Hardware  Memristors  Convolutional neural networks  Hardware modeling tool  processing-in-memory (PIM)  software-hardware co-optimization  
Functional Verification for Agile Processor Development: A Case for Workflow Integration 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 4, 页码: 737-753
作者:  Xu, Yi-Nan;  Yu, Zi-Hao;  Wang, Kai-Fan;  Wang, Hua-Qiang;  Lin, Jia-Wei;  Jin, Yue;  Zhang, Lin-Juan;  Zhang, Zi-Fei;  Tang, Dan;  Wang, Sa;  Shi, Kan;  Sun, Ning-Hui;  Bao, Yun-Gang
收藏  |  浏览/下载：6/0  |  提交时间：2024/05/20
functional verification  agile development  open-source hardware  workflow integration  
Research on the carbon emissions traceability inventory and multi-horizon prediction of ship carbon emissions: a case study of Tianjin Port 期刊论文
FRONTIERS IN MARINE SCIENCE, 2023, 卷号: 10, 页码: 19
作者:  Li, Yong;  Xie, Wenxin;  Yang, Yang;  Mei, Qiang;  Wang, Zhishan;  Li, Zhaoxuan;  Wang, Peng
收藏  |  浏览/下载：12/0  |  提交时间：2023/12/04
ship pollutant  carbon emissions inventory  Tianjin Port  AIS  transformer  forecast CO2 emissions  
MIFNet: Multiple instances focused temporal action proposal generation 期刊论文
NEUROCOMPUTING, 2023, 卷号: 538, 页码: 13
作者:  Wang, Lining;  Yao, Hongxun;  Yang, Haosen;  Wang, Sibo;  Jin, Sheng
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/04
Video understanding  Temporal action proposal  Temporal action detection  Contrastive learning  Multiple instances  
A combination predicting methodology based on T-LSTNet_Markov for short-term wind power prediction 期刊论文
NETWORK-COMPUTATION IN NEURAL SYSTEMS, 2023, 页码: 23
作者:  Wang, Yongsheng;  Wu, Yuhao;  Xu, Hao;  Chen, Zhen;  Gao, Jing;  Xu, ZhiWei;  Li, Leixiao
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/04
Wind power forecast  T-LSTNet_markov model  Deep learning  Time series analysis