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Involving Distinguished Temporal Graph Convolutional Networks for Skeleton-Based Temporal Action Segmentation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 647-660
作者:  Li, Yun-Heng;  Liu, Kai-Yuan;  Liu, Sheng-Lan;  Feng, Lin;  Qiao, Hong
收藏  |  浏览/下载：7/0  |  提交时间：2024/03/26
Feature extraction  Motion segmentation  Correlation  Convolution  Topology  Convolutional neural networks  Solid modeling  Skeleton-based temporal action segmentation  enhanced spatial graph structure  segmented encoding  
Integration of Train Regulation and Speed Profile Optimization Based on Feature Learning and Hybrid Search Algorithm 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2023, 页码: 10
作者:  Zhou, Min;  Hou, Zhuopu;  Wu, Xingtang;  Dong, Hairong;  Wang, Fei-Yue
收藏  |  浏览/下载：31/0  |  提交时间：2024/02/22
Convolutional neural network (CNN)  hybrid search algorithm  integration  speed profile  train control  train regulation  
Parallel Surfaces: Service-Oriented V2X Communications for Autonomous Vehicles 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 11, 页码: 4536-4545
作者:  Han, Shuangshuang;  Wang, Fei-Yue;  Luo, Guiyang;  Li, Lefei;  Qu, Fengzhong
收藏  |  浏览/下载：14/0  |  提交时间：2024/03/27
Parallel intelligence  reconfigurable intelligent surfaces  V2X  autonomous vehicles  
So Many Heads, So Many Wits: Multimodal Graph Reasoning for Text-Based Visual Question Answering 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 12
作者:  Zheng, Wenbo;  Yan, Lan;  Wang, Fei-Yue
收藏  |  浏览/下载：58/0  |  提交时间：2023/12/21
Graph attention  graph reasoning  multimodal graph  self-attention  text-based visual question answering  
A Vectorized Representation Model for Trajectory Prediction of Intelligent Vehicles in Challenging Scenarios 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 10, 页码: 4301-4306
作者:  Guo, Lulu;  Shan, Ce;  Shi, Tengfei;  Li, Xuan;  Wang, Fei-Yue
收藏  |  浏览/下载：13/0  |  提交时间：2024/02/22
Index Terms-Autonomous vehicles  graph neural network  HD maps  OpenSCENARIO  scenarios engineering  trajectory prediction  
Knowledge-Embedded Mutual Guidance for Visual Reasoning 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2023, 页码: 13
作者:  Zheng, Wenbo;  Yan, Lan;  Chen, Long;  Li, Qiang;  Wang, Fei-Yue
收藏  |  浏览/下载：79/0  |  提交时间：2023/11/16
Attention model  joint learning  knowledge embedding  visual reasoning  
AIF-LFNet: All-in-Focus Light Field Super-Resolution Method Considering the Depth-Varying Defocus 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 8, 页码: 3976-3988
作者:  Zhou, Shubo;  Hu, Liang;  Wang, Yunlong;  Sun, Zhenan;  Zhang, Kunbo;  Jiang, Xue-Qin
收藏  |  浏览/下载：64/0  |  提交时间：2023/11/17
Light field imaging  super-resolution  depth-varying defocus  dataset  convolutional neural network  
Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 14
作者:  Guo, Yu;  Liu, Ryan Wen;  Qu, Jingxiang;  Lu, Yuxu;  Zhu, Fenghua;  Lv, Yisheng
收藏  |  浏览/下载：52/0  |  提交时间：2023/11/17
Inland waterways  vessel traffic surveillance  deep neural network  anti-occlusion tracking  data fusion  
Description-Enhanced Label Embedding Contrastive Learning for Text Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:  Zhang, Kun;  Wu, Le;  Lv, Guangyi;  Chen, Enhong;  Ruan, Shulan;  Liu, Jing;  Zhang, Zhiqiang;  Zhou, Jun;  Wang, Meng
收藏  |  浏览/下载：85/0  |  提交时间：2023/11/17
Contrastive learning (CL)  label embedding  representation learning  text classification  
Beyond Single Reference for Training: Underwater Image Enhancement via Comparative Learning 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 6, 页码: 2561-2576
作者:  Li, Kunqian;  Wu, Li;  Qi, Qi;  Liu, Wenjie;  Gao, Xiang;  Zhou, Liqin;  Song, Dalei
收藏  |  浏览/下载：58/0  |  提交时间：2023/11/17
Training  Image enhancement  Visualization  Task analysis  Generators  Deep learning  Oceans  Underwater image enhancement  deep learning  convolutional neural network  comparative learning  blind image quality assessment