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Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation 会议论文
, New Orleans, 2022.6.19-2022.6.24
作者:  Li, Jing;  Fan, Junsong;  Zhang, Zhaoxiang
Adobe PDF(2241Kb)  |  收藏  |  浏览/下载：20/7  |  提交时间：2024/07/24
Segmentation, Weakly Supervised, Contour  
Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation 会议论文
, Vancouver, 2024.2.22-2024.2.25
作者:  Li, Jing;  Fan, Junsong;  Yang, Yuran;  Mei, Shuqi;  Xiao, Jun;  Zhang, Zhaoxiang
Adobe PDF(2720Kb)  |  收藏  |  浏览/下载：22/9  |  提交时间：2024/07/24
Panoptic Segmentation  Pointly-Supervised  Pseudo Label Estimation  Data-Driven  
Planning-Inspired Hierarchical Trajectory Prediction via Lateral-Longitudinal Decomposition for Autonomous Driving 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 692-703
作者:  Li, Ding;  Zhang, Qichao;  Xia, Zhongpu;  Zheng, Yupeng;  Zhang, Kuan;  Yi, Menglong;  Jin, Wenda;  Zhao, Dongbin
收藏  |  浏览/下载：12/0  |  提交时间：2024/07/22
Trajectory  Roads  Predictive models  Planning  Task analysis  Behavioral sciences  Vehicle dynamics  Autonomous driving  trajectory prediction  anchor-based prediction  
Foundation Intelligence for Smart Infrastructure Services in Transportation 5.0 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 39-47
作者:  Han, Xu;  Meng, Zonglin;  Xia, Xin;  Liao, Xishun;  He, Brian Yueshuai;  Zheng, Zhaoliang;  Wang, Yutong;  Xiang, Hao;  Zhou, Zewei;  Gao, Letian;  Fan, Lili;  Li, Yuke;  Ma, Jiaqi
收藏  |  浏览/下载：7/0  |  提交时间：2024/07/22
Foundation intelligence  foundation models  smart infrastructure  transportation 5.0  
CG-FAS: Cross-label Generative Augmentation for Face Anti-Spoofing 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2024, 页码: 16
作者:  Liu, Xing;  Su, Anyang;  Wu, Minghui;  Yu, Zitong;  Wu, Kangle;  An, Da;  Hao, Jie;  Xu, Mengzhen;  Zhao, Chenxu;  Lei, Zhen
收藏  |  浏览/下载：9/0  |  提交时间：2024/07/22
Face Anti-Spoofing  Data augmentation  Generative model  Face editing  
Adhesion molecule-targeted magnetic particle imaging nanoprobe for visualization of inflammation in acute lung injury 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2023, 页码: 13
作者:  Gao, Pengli;  Liu, Yu;  Wang, Xiaoli;  Feng, Xin;  Liu, Heng;  Liu, Songlu;  Huang, Xiazi;  Wu, Xiangjun;  Xiong, Fei;  Jia, Xiaohua;  Hui, Hui;  Jiang, Jingying;  Tian, Jie
收藏  |  浏览/下载：10/0  |  提交时间：2024/07/22
Acute lung injury  Inflammation  Vascular cell adhesion molecule-1  Magnetic particle imaging  
CGNN: A Compatibility-aware Graph Neural Network for Social Media Bot Detection 期刊论文
IEEE Transactions on Computational Social System, 2024, 页码: Early Access
作者:  Huang, Haitao;  Tian, Hu;  Zheng, Xiaolong;  Zhang, Xingwei;  Zeng, Dajun;  Wang, Feiyue
Adobe PDF(2267Kb)  |  收藏  |  浏览/下载：36/14  |  提交时间：2024/07/08
graph neural network  heterogeneous compatibility  social media bot detection  
Calibration & Reconstruction: Deep Integrated Language for Referring Image Segmentation 会议论文
Proceedings of the 2024 International Conference on Multimedia Retrieval, Phuket, Thailand, 2024/03/08
作者:  Yichen Yan;  Xingjian He;  Sihan Chen;  Jing Liu
Adobe PDF(2868Kb)  |  收藏  |  浏览/下载：28/11  |  提交时间：2024/07/08
Referring Image Segmentation, CLIP, Hierarchical Fusion, Computer Vision  
From Model to Reality: A Robust Framework for Automatic Generation of Welding Paths 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024, 页码: 12
作者:  Ma, Yunkai;  Fan, Junfeng;  Zhao, Sihan;  Jing, Fengshui;  Wang, Shuo;  Tan, Min
收藏  |  浏览/下载：28/0  |  提交时间：2024/07/04
Welding  Point cloud compression  Vision sensors  Solid modeling  Robot kinematics  Cameras  Intelligent sensors  CAD model  deep neural network  robotic welding  spatial curve weld  welding path generation  
EK-Chess: Chess Learning System Based on Top-Level Chess Expert Knowledge Graph 期刊论文
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2024, 页码: 15
作者:  Zhang, Mingyu;  Jin, Qiao;  Dong, Qian;  Wang, Danli;  Xie, Jun
收藏  |  浏览/下载：23/0  |  提交时间：2024/07/04
Learning system  chess beginner  chess education  expert knowledge  knowledge graph  user study