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CASIA OpenIR

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Boosting Multi-modal Ocular Recognition via Spatial Feature Reconstruction and Unsupervised Image Quality Estimation 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 197-214
作者:  Zihui Yan;  Yunlong Wang;  Kunbo Zhang;  Zhenan Sun;  Lingxiao He
Adobe PDF(3457Kb)  |  收藏  |  浏览/下载：2/1  |  提交时间：2024/04/23
Iris recognition, periocular recognition, spatial feature reconstruction, fully convolutional network, flexible matching, unsupervised iris quality assessment, adaptive weight fusion  
A Knowledge-enhanced Two-stage Generative Framework for Medical Dialogue Information Extraction 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 153-168
作者:  Zefa Hu;  Ziyi Ni;  Jing Shi;  Shuang Xu;  Bo Xu
Adobe PDF(1525Kb)  |  收藏  |  浏览/下载：3/2  |  提交时间：2024/04/23
Medical dialogue understanding, information extraction, text generation, knowledge-enhanced prompt, low-resource setting, data augmentation  
Deep Industrial Image Anomaly Detection: A Survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 104-135
作者:  Jiaqi Liu;  Guoyang Xie;  Jinbao Wang;  Shangnian Li;  Chengjie Wang;  Feng Zheng;  Yaochu Jin
Adobe PDF(3376Kb)  |  收藏  |  浏览/下载：4/1  |  提交时间：2024/04/23
Image anomaly detection, defect detection, industrial manufacturing, deep learning, computer vision  
Weakly Supervised Object Localization with Background Suppression Erasing for Art Authentication and Copyright Protection 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 89-103
作者:  Chaojie Wu;  Mingyang Li;  Ying Gao;  Xinyan Xie;  Wing W. Y. Ng;  Ahmad Musyafa
Adobe PDF(7319Kb)  |  收藏  |  浏览/下载：1/1  |  提交时间：2024/04/23
Weakly supervised object localization, erasing method, deep learning, computer vision, art authentication and copyright protection  
Machine Learning in Lung Cancer Radiomics 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 753-782
作者:  Jiaqi Li;  Zhuofeng Li;  Lei Wei;  Xuegong Zhang
Adobe PDF(7595Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23
Machine learning, lung cancer, radiomics, medical image, clinical application  
A Review and Outlook on Predictive Cruise Control of Vehicles and Typical Applications Under Cloud Control System 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 614-639
作者:  Bolin Gao;  Keke Wan;  Qien Chen;  Zhou Wang;  Rui Li;  Yu Jiang;  Run Mei;  Yinghui Luo;  Keqiang Li
Adobe PDF(12630Kb)  |  收藏  |  浏览/下载：3/1  |  提交时间：2024/04/23
Predictive cruise control (PCC), cloud control system (CCS), cooperative control, efficient operation, intelligent connected vehicle  
Region-adaptive Concept Aggregation for Few-shot Visual Recognition 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 554-568
作者:  Mengya Han;  Yibing Zhan;  Baosheng Yu;  Yong Luo;  Han Hu;  Bo Du;  Yonggang Wen;  Dacheng Tao
Adobe PDF(4324Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23
Few-shot learning, metric-based meta learning, concept learning, region-adaptive, concept-aggregation  
Symmetric-threshold ReLU for Fast and Nearly Lossless ANN-SNN Conversion 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 435-446
作者:  Jianing Han;  Ziming Wang;  Jiangrong Shen;  Huajin Tang
Adobe PDF(1513Kb)  |  收藏  |  浏览/下载：5/2  |  提交时间：2024/04/23
Symmetric-threshold rectified linear unit (stReLU), deep spiking neural networks, artificial neural network-spiking neural network (ANN-SNN) conversion, lossless conversion, double thresholds  
Robust Local Light Field Synthesis via Occlusion-aware Sampling and Deep Visual Feature Fusion 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 408-420
作者:  Wenpeng Xing;  Jie Chen;  Yike Guo
Adobe PDF(2263Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23
Novel view synthesis, light field (LF) imaging, multi-view stereo, occlusion sampling, deep visual feature (DVF) fusion  
Dynamic Movement Primitives Based Robot Skills Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 396-407
作者:  Ling-Huan Kong;  Wei He;  Wen-Shi Chen;  Hui Zhang;  Yao-Nan Wang
Adobe PDF(3181Kb)  |  收藏  |  浏览/下载：3/1  |  提交时间：2024/04/23
Dynamic movement primitives (DMPs), trajectory tracking control, robot learning from demonstrations, neural networks (NNs), adaptive control