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Diff-pcg: diffusion point cloud generation conditioned on continuous normalizing flow 期刊论文
The Visual Computer, 2024, 页码: 1-15
作者:  Yu T(余挺);  Meng WL(孟维亮);  Wu ZQ(吴仲琦);  Guo JW(郭建伟);  Zhang XP(张晓鹏)
Adobe PDF(2471Kb)  |  收藏  |  浏览/下载：29/7  |  提交时间：2024/06/11
3D shape generation  Diffusion model  Continuous normalizing flow  Point cloud  
SocialVis: Dynamic Social Visualization in Dense Scenes via Real-time Multi-Object Tracking and Proximity Graph Construction 期刊论文
Computer Animation and Virtual Worlds, 2024, 卷号: 35, 期号: 3, 页码: 1-15
作者:  Li BW(李博文);  Li W(李巍);  Wang JQ(王镜淇);  Meng WL(孟维亮);  Zhang JG(张吉光);  Zhang XP(张晓鹏)
Adobe PDF(2914Kb)  |  收藏  |  浏览/下载：34/5  |  提交时间：2024/06/04
dense pedestrian  detection  multi-object tracking  proximity graph  visualization  
Exploring Intrinsic Discrimination and Consistency for Weakly Supervised Object Localization 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 期号: 0, 页码: 1045 - 1058
作者:  Changwei Wang;  Rongtao Xu;  Shibiao Xu;  Weiliang Meng;  Ruisheng Wang;  Xiaopeng Zhang
Adobe PDF(3269Kb)  |  收藏  |  浏览/下载：55/17  |  提交时间：2024/05/29
Weakly supervised object localization  intrinsic discrimination and consistency  deep metric learning  geometric transformation consistency  
DERnet: a deep neural network for end-to-end reconstruction in magnetic particle imaging 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2024, 卷号: 69, 期号: 1, 页码: 15
作者:  Peng, Zhengyao;  Yin, Lin;  Sun, Zewen;  Liang, Qian;  Ma, Xiaopeng;  An, Yu;  Tian, Jie;  Du, Yang
Adobe PDF(1035Kb)  |  收藏  |  浏览/下载：109/6  |  提交时间：2024/02/22
magnetic particle imaging  end-to-end reconstruction  deep learning  image reconstruction  
Key-Part Attention Retrieval for Robotic Object Recognition 期刊论文
TSINGHUA SCIENCE AND TECHNOLOGY, 2024, 卷号: 29, 期号: 3, 页码: 644-655
作者:  Liu, Jierui;  Cao, Zhiqiang;  Tang, Yingbo
Adobe PDF(2164Kb)  |  收藏  |  浏览/下载：106/14  |  提交时间：2024/02/22
Training  Visualization  Image recognition  Cameras  Object recognition  Convolutional neural networks  Data mining  key-part attention  retrieval  robotic object recognition  
A Graded Assessment System for Parkinsons Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model 期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 23, 页码: 29283-29292
作者:  Tong, Lina;  Liu, Dai-Song;  Peng, Liang;  Hao, Hong-Lin;  Wang, Chen
Adobe PDF(9425Kb)  |  收藏  |  浏览/下载：69/8  |  提交时间：2024/02/21
Bradykinesia grade  inertial sensors  Parkinson's disease (PD)  temporal convolutional network (TCN)  wearable device  
Delivery of pollen to forsythia flower pistils autonomously and precisely using a robot arm 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 卷号: 214, 页码: 13
作者:  Yang, Minghao;  Lyu, Hongchang;  Zhao, Yongjia;  Sun, Yangchang;  Pan, Hang;  Sun, Qi;  Chen, Jinlong;  Qiang, Baohua;  Yang, Hongbo
Adobe PDF(10694Kb)  |  收藏  |  浏览/下载：157/3  |  提交时间：2023/12/21
Pollination robot  Flower detection  Pistil identification  Convolutional neural network (CNN)  
Multi-Correlation Siamese Transformer Network With Dense Connection for 3D Single Object Tracking 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 卷号: 8, 期号: 12, 页码: 8066-8073
作者:  Feng, Shihao;  Liang, Pengpeng;  Gao, Jin;  Cheng, Erkang
Adobe PDF(2745Kb)  |  收藏  |  浏览/下载：122/6  |  提交时间：2023/12/21
3D object tracking  Point cloud  Transformer  
Deep learning-based radiomics model can predict extranodal soft tissue metastasis in gastric cancer 期刊论文
MEDICAL PHYSICS, 2023, 页码: 11
作者:  Liu, Shengyuan;  Deng, Jingyu;  Dong, Di;  Fang, Mengjie;  Ye, Zhaoxiang;  Hu, Yanfeng;  Li, Hailin;  Zhong, Lianzhen;  Cao, Runnan;  Zhao, Xun;  Shang, Wenting;  Li, Guoxin;  Liang, Han;  Tian, Jie
Adobe PDF(2945Kb)  |  收藏  |  浏览/下载：175/5  |  提交时间：2023/11/17
deep learning  extranodal soft tissue metastasis  gastric cancer  radiomics  
Reducing Vision-Answer Biases for Multiple-Choice VQA 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 4621-4634
作者:  Zhang, Xi;  Zhang, Feifei;  Xu, Changsheng
Adobe PDF(2684Kb)  |  收藏  |  浏览/下载：85/2  |  提交时间：2023/11/17
Multiple-choice VQA  vision-answer bias  causal intervention  counterfactual interaction learning