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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：356/89  |  提交时间：2022/01/27
video question answering  attention mechanism  metric learning  
ECBC: Efficient Convolution via Blocked Columnizing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Zhao, Tianli;  Hu, Qinghao;  He, Xiangyu;  Xu, Weixiang;  Wang, Jiaxing;  Leng, Cong;  Cheng, Jian
Adobe PDF(3003Kb)  |  收藏  |  浏览/下载：316/37  |  提交时间：2022/01/27
Convolution  Tensors  Layout  Memory management  Indexes  Transforms  Performance evaluation  Convolutional neural networks (CNNs)  direct convolution  high performance computing for mobile devices  im2col convolution  memory-efficient convolution (MEC)  
Unsupervised Video Summarization via Relation-Aware Assignment Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 3203-3214
作者:  Gao, Junyu;  Yang, Xiaoshan;  Zhang, Yingying;  Xu, Changsheng
Adobe PDF(3649Kb)  |  收藏  |  浏览/下载：339/66  |  提交时间：2021/11/03
Feature extraction  Training  Optimization  Semantics  Recurrent neural networks  Task analysis  Graph neural network  unsupervised learning  video summarization  
Learning Coarse-to-Fine Graph Neural Networks for Video-Text Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 2386-2397
作者:  Wang, Wei;  Gao, Junyu;  Yang, Xiaoshan;  Xu, Changsheng
Adobe PDF(2165Kb)  |  收藏  |  浏览/下载：350/46  |  提交时间：2021/11/02
Feature extraction  Encoding  Task analysis  Semantics  Data models  Cognition  Focusing  Video-text retrieval  graph neural network  coarse-to-fine strategy  
Heterogeneous Relational Graph Neural Networks with Adaptive Objective for End-to-End Task-Oriented Dialogue 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 227, 期号: 2021, 页码: 107186
作者:  Liu, Qingbin;  Bai, Guirong;  He, Shizhu;  Liu, Cao;  Liu, Kang;  Zhao, Jun
Adobe PDF(1021Kb)  |  收藏  |  浏览/下载：333/69  |  提交时间：2021/11/02
End-to-end task-oriented dialogue  Heterogeneous relational graph neural networks  Shared-private parameterization  Hierarchical attention mechanism  Adaptive objective  
Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 卷号: 18, 期号: 3, 页码: 1097-1108
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  He, Haibo
Adobe PDF(2666Kb)  |  收藏  |  浏览/下载：224/12  |  提交时间：2021/08/15
Microscopy  Feedback control  Mathematical model  Data models  Dynamic programming  Psychology  Computational modeling  Adaptive dynamic programming (ADP)  heterogeneous corridors  macroscopic pedestrian dynamics  optimal feedback control  pedestrian flow  
Improving Domain-adaptive Person Re-identification by Dual-alignment Learning with Camera-aware Image Generation 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2021, 卷号: 31, 期号: 11, 页码: 4334 - 4346
作者:  Chenyang Zhang;  Yongqiang Tang;  Zhizhong Zhang;  Ding Li;  Xuebing Yang;  Wensheng Zhang
Adobe PDF(2538Kb)  |  收藏  |  浏览/下载：370/89  |  提交时间：2021/06/23
Person Re-identification  Convolutional Neural Networks  Generative Adversarial Networks  Mutual Information  
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4499-4513
作者:  Ruan, Xiaofeng;  Liu, Yufan;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming;  Li, Yangxi;  Maybank, Stephen
Adobe PDF(3625Kb)  |  收藏  |  浏览/下载：343/45  |  提交时间：2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning  
MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Chizhan Zhang;  Fenghua Zhu;  Yisheng Lv;  Peijun Ye;  Feiyue Wang
Adobe PDF(4431Kb)  |  收藏  |  浏览/下载：249/59  |  提交时间：2021/06/16
Taxi demand prediction  taxi zone clustering  heterogeneity analysis  deep learning  
Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence 期刊论文
CEREBRAL CORTEX, 2021, 卷号: 31, 期号: 5, 页码: 2686-2700
作者:  Wang, Haiyan;  Fan, Lingzhong;  Song, Ming;  Liu, Bing;  Wu, Dongya;  Jiang, Rongtao;  Li, Jin;  Li, Ang;  Banaschewski, Tobias;  Bokde, Arun L. W.;  Quinlan, Erin Burke;  Desrivieres, Sylvane;  Flor, Herta;  Grigis, Antoine;  Garavan, Hugh;  Chaarani, Bader;  Gowland, Penny;  Heinz, Andreas;  Ittermann, Bernd;  Martinot, Jean-Luc;  Martinot, Marie-Laure Paillere;  Artiges, Eric;  Nees, Frauke;  Orfanos, Dimitri Papadopoulos;  Poustka, Luise;  Millenet, Sabina;  Frohner, Juliane H.;  Smolka, Michael N.;  Walter, Henrik;  Whelan, Robert;  Schumann, Gunter;  Jiang, Tianzi
Adobe PDF(1018Kb)  |  收藏  |  浏览/下载：612/216  |  提交时间：2021/06/15
adolescence  functional connectivity  inhibitory control  longitudinal prediction  stop signal task