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CASIA OpenIR
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SASAN: Shape-Adaptive Set Abstraction Network for Point-Voxel 3D Object Detection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Zhang, Hui;  Luo, Guiyang;  Wang, Xiao;  Li, Yidong;  Ding, Weiping;  Wang, Fei-Yue
收藏  |  浏览/下载：15/0  |  提交时间：2024/07/03
Feature extraction  Three-dimensional displays  Detectors  Object detection  Proposals  Point cloud compression  Shape  3D object detection  autonomous driving  point-voxel detectors  
Social Vision for Intelligent Vehicles: From Computer Vision to Foundation Vision 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 11, 页码: 4474-4476
作者:  Yu, Hui;  Wang, Yutong;  Tian, Yonglin;  Zhang, Hui;  Zheng, Wenbo;  Wang, Fei-Yue
Adobe PDF(135Kb)  |  收藏  |  浏览/下载：82/13  |  提交时间：2024/03/27
Social Vision  Parallel Vision  Knowledge Vision  Foundation Vision  intelligent vehicles  social interaction  sustainability  
ClusterST: Clustering Spatial-Temporal Network for Traffic Forecasting 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Luo, Guiyang;  Zhang, Hui;  Yuan, Quan;  Li, Jinglin;  Wang, Fei-Yue
收藏  |  浏览/下载：194/0  |  提交时间：2023/01/09
Index Terms- Traffic forecasting  graph convolutional network  spatial-temporal networks  over-smoothing  
ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow Dynamics 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Luo, Guiyang;  Zhang, Hui;  Yuan, Quan;  Li, Jinglin;  Wang, Fei-Yue
收藏  |  浏览/下载：216/0  |  提交时间：2022/07/25
Roads  Correlation  Feature extraction  Sensors  Deep learning  Convolution  Sensor phenomena and characterization  Traffic forecasting  graph convolutional network  spatial-temporal networks  
C2FDA: Coarse-to-Fine Domain Adaptation for Traffic Object Detection 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 15
作者:  Zhang, Hui;  Luo, Guiyang;  Li, Jinglin;  Wang, Fei-Yue
收藏  |  浏览/下载：222/0  |  提交时间：2022/01/27
Object detection  domain adaptation  synthetic data  intelligent visual perception  
A Virtual-Real Interaction Approach to Object Instance Segmentation in Traffic Scenes 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 2, 页码: 863-875
作者:  Zhang, Hui;  Luo, Guiyang;  Tian, Yonglin;  Wang, Kunfeng;  He, Haibo;  Wang, Fei-Yue
收藏  |  浏览/下载：283/0  |  提交时间：2021/03/29
Image segmentation  Annotations  Computational modeling  Automation  Object detection  Visualization  Instance segmentation  virtual-real interaction  synthetic images  distribution discrepancy  autonomous vehicles  
FII-CenterNet: An Anchor-Free Detector With Foreground Attention for Traffic Object Detection 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 卷号: 70, 期号: 1, 页码: 121-132
作者:  Fan, Siqi;  Zhu, Fenghua;  Chen, Shichao;  Zhang, Hui;  Tian, Bin;  Lv, Yisheng;  Wang, Fei-Yue
Adobe PDF(7159Kb)  |  收藏  |  浏览/下载：275/41  |  提交时间：2021/03/29
Object detection  Anchor-free detector  Foreground region proposal  
Mask SSD: An Effective Single-Stage Approach to Object Instance Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 1, 页码: 2078-2093
作者:  Zhang, Hui;  Tian, Yonglin;  Wang, Kunfeng;  Zhang, Wensheng;  Wang, Fei-Yue
浏览  |  Adobe PDF(4983Kb)  |  收藏  |  浏览/下载：381/166  |  提交时间：2020/03/30
Object detection  instance segmentation  feedback features  single-shot detector  
APLNet: Attention-enhanced progressive learning network 期刊论文
NEUROCOMPUTING, 2020, 卷号: 371, 期号: 2020, 页码: 166-176
作者:  Zhang, Hui;  Kang, Danqing;  He, Haibo;  Wang, Fei-Yue
浏览  |  Adobe PDF(3114Kb)  |  收藏  |  浏览/下载：381/114  |  提交时间：2020/03/30
Object detection  Progressive learning  Attention enhancement  
MFR-CNN: Incorporating Multi-Scale Features and Global Information for Traffic Object Detection 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 卷号: 67, 期号: 9, 页码: 8019-8030
作者:  Zhang, Hui;  Wang, Kunfeng;  Tian, Yonglin;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(4636Kb)  |  收藏  |  浏览/下载：332/66  |  提交时间：2019/12/16
Traffic Object Detection  Convolutional Neural Network  Multi-scale Features  Global Information