CASIA OpenIR

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A Local Obstacle Avoidance and Global Planning Method for the Follow-the-Leader Motion of Coiled Hyper-Redundant Manipulators 期刊论文
IEEE Transactions on Industrial Informatics, 2024, 卷号: 20, 期号: 4, 页码: 6591 - 6602
作者:  Mingrui, Luo;  Yunong, Tian;  En, Li;  Minghao, Chen;  Min, Tan
Adobe PDF(16892Kb)  |  收藏  |  浏览/下载:43/16  |  提交时间:2024/05/31
Cable-driven redundant manipulators  intelligent robot system  obstacle avoidance  path planning  
PSAQ-ViT V2: Toward Accurate and General Data-Free Quantization for Vision Transformers 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 12
作者:  Li, Zhikai;  Chen, Mengjuan;  Xiao, Junrui;  Gu, Qingyi
收藏  |  浏览/下载:82/0  |  提交时间:2023/11/17
Data-free quantization  model compression  patch similarity  quantized vision transformers (ViTs)  
Contour Primitive of Interest Extraction Network Based on Dual-Metric One-Shot Learning for Vision Measurement 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 4, 页码: 5839-5848
作者:  Qin, Fangbo;  Lin, Shan;  Xu, De
收藏  |  浏览/下载:127/0  |  提交时间:2023/11/17
Feature extraction  Measurement  Task analysis  Imaging  Image segmentation  Prototypes  Training  Contour extraction  deep learning  metric learning  one-shot learning  vision measurement  
Online Progressive Instance-Balanced Sampling for Weakly Supervised Vibration Damper Detection 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 14
作者:  Chen, Minghao;  Tian, Yunong;  Li, Zhishuo;  Li, En;  Liang, Zize
Adobe PDF(4445Kb)  |  收藏  |  浏览/下载:129/19  |  提交时间:2023/11/17
Shock absorbers  Vibrations  Object detection  Proposals  Training  Sampling methods  Convolutional neural networks  Instance balance  multiple instance learning (MIL)  progressive sampling  vibration damper detection  weakly supervised object detection (WSOD)  
Active learning based 3d semantic labeling from images and videos 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2021, 卷号: 32, 期号: 12, 页码: 8101-8115
作者:  Mengqi Rong;  Hainan Cui;  Zhanyi Hu;  Hanqing Jiang;  Hongmin Liu;  Shuhan Shen
Adobe PDF(6704Kb)  |  收藏  |  浏览/下载:171/53  |  提交时间:2023/09/25
3D Semantic Segmentation of Aerial Photogrammetry Models Based on Orthographic Projection 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2023, 卷号: 33, 期号: 12, 页码: early-access
作者:  Mengqi Rong;  Shuhan Shen
Adobe PDF(5811Kb)  |  收藏  |  浏览/下载:150/44  |  提交时间:2023/09/25
3D scenes  semantic segmentation  orthographic projection  
A Model of Spray Tool and a Parameter Optimization Method for Spraying Path Planning 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 1017-1031
作者:  Ruxiang Hua;  Wei Zou;   Guodong Chen;  Hongxuan Ma;  Wei Zhang
Adobe PDF(3022Kb)  |  收藏  |  浏览/下载:184/54  |  提交时间:2023/07/04
Digital camouflage  spraying robot  path optimization  parameter setting  coating thickness uniformity  
Region Probability Map-Guided Fast Wide-Area Multiobject Detection 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2022, 页码: 1-12
作者:  Long XL(龙宪磊);  Chen, Mengjuan;  Li, Zhikai;  Gu, Qingyi
Adobe PDF(9818Kb)  |  收藏  |  浏览/下载:289/54  |  提交时间:2022/12/19
High-speed vision  object detection  particle filter  region probability map  wide-area surveillance  
Mechanical Particle Filter-Based Active Vision System for Fast Wide-Area Multiobject Detection 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2022, 卷号: 71, 页码: 1-13
作者:  Long XL(龙宪磊);  Ma, Liping;  Jiang, He;  Li, Zhikai;  Chen, Yunze;  Gu, Qingyi
Adobe PDF(4989Kb)  |  收藏  |  浏览/下载:345/59  |  提交时间:2022/12/19
High-speed vision , mechanical particle filter (MPF) , object detection , visual feedback , wide-area surveillance  
Recent Advances in Conventional and Deep Learning-Based Depth Completion: A Survey 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 页码: 1-21
作者:  Xie, Zexiao;  Yu, Xiaoxuan;  Gao, Xiang;  Li, Kunqian;  Shen, Shuhan
收藏  |  浏览/下载:233/0  |  提交时间:2022/11/14
Data fusion  Deep learning  Depth completion  Loss function  RGB-D and LiDAR data