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CASIA OpenIR

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Global Patch Cross-Attention for Point Cloud Analysis 会议论文
5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4–7, 2022, Proceedings, Part III, 深圳, 2022.11.4-2022.11.7
作者:  Tao ML(陶满礼);  Zhao CY(赵朝阳);  Wang JQ(王金桥);  Tang M(唐明)
Adobe PDF(6422Kb)  |  收藏  |  浏览/下载：13/4  |  提交时间：2024/05/30
Global patch · Cross-attention · Contextual description · Point cloud analysis  
Enhancing ENSO predictions with self-attention ConvLSTM and temporal embeddings 期刊论文
Frontiers in Marine Science, 2024, 卷号: 11, 页码: 1334210
作者:  Rui, Chuang;  Sun, Zhengya;  Zhang, Wensheng;  Liu, Anan;  Wei, Zhiqiang
Adobe PDF(14474Kb)  |  收藏  |  浏览/下载：7/2  |  提交时间：2024/05/28
El Niño-Southern Oscillation (ENSO)  deep learning for ENSO prediction  self-attention ConvLSTM  temporal embeddings  spring prediction barrier  
Learning to Reduce Scale Differences for Large-Scale Invariant Image Matching 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2023, 卷号: 33, 期号: 3, 页码: 1335 - 1348
作者:  Fu Yujie;  Zhang Pengju;  Liu Bingxi;  Rong Zheng;  Wu Yihong
Adobe PDF(4879Kb)  |  收藏  |  浏览/下载：14/4  |  提交时间：2024/05/28
Image Matching  Large Scale Changes  Scale Difference Reduction  Scale Ratio Estimation  Covisibility-attention-reinforced Matching Module  
Dual Frequency Transformer for Efficient SDR-to-HDR Translation 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 538-548
作者:  Gang Xu;  Qibin Hou;  Ming-Ming Cheng
Adobe PDF(2981Kb)  |  收藏  |  浏览/下载：23/10  |  提交时间：2024/05/23
Standard-dynamic-range to high-dynamic-range (SDR-to-HDR) translation, Transformer, dual frequency attention (DFA), frequency-aware feature decomposition, efficient model  
Structural Dependence Learning Based on Self-attention for Face Alignment 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 514-525
作者:  Biying Li;  Zhiwei Liu;  Wei Zhou;  Haiyun Guo;  Xin Wen;  Min Huang;  Jinqiao Wang
Adobe PDF(5139Kb)  |  收藏  |  浏览/下载：26/10  |  提交时间：2024/05/23
Computer vision, face alignment, self-attention, facial structure, contextual information  
Attention Markets of Blockchain-based Decentralized Autonomous Organizations 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1370-1380
作者:  Juanjuan Li;  Rui Qin;  Sangtian Guan;  Wenwen Ding;  Fei Lin;  Fei-Yue Wang
Adobe PDF(1878Kb)  |  收藏  |  浏览/下载：15/5  |  提交时间：2024/05/22
Attention  decentralized autonomous organizations  Harberger tax  Stackelberg game  
Adaptively Enhancing Facial Expression Crucial Regions via a Local Non-local Joint Network 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 331-348
作者:  Guanghui Shi;  Shasha Mao;  Shuiping Gou;  Dandan Yan;  Licheng Jiao;  Lin Xiong
Adobe PDF(3926Kb)  |  收藏  |  浏览/下载：22/6  |  提交时间：2024/04/23
Facial expression recognition, deep neural network, multiple network ensemble, attention network, facial crucial regions  
Mask Distillation Network for Conjunctival Hyperemia Severity Classification 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 909-922
作者:  Mingchao Li;  Kun Huang;  Xiao Ma;  Yuexuan Wang;  Wen Fan;  Qiang Chen
Adobe PDF(2827Kb)  |  收藏  |  浏览/下载：22/7  |  提交时间：2024/04/23
Mask distillation (MD), conjunctiva hyperemia, attention mechanism, severity classification, deep learning  
Multitask Learning with Multiscale Residual Attention for Brain Tumor Segmentation and Classification 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 897-908
作者:  Gaoxiang Li;  Xiao Hui;  Wenjing Li;  Yanlin Luo
Adobe PDF(2873Kb)  |  收藏  |  浏览/下载：17/3  |  提交时间：2024/04/23
Brain tumor segmentation and classification, multitask learning, multiscale residual attention module (MRAM), dynamic weight training, prior knowledge  
Dual-domain and Multiscale Fusion Deep Neural Network for PPG Biometric Recognition 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 707-715
作者:  Chun-Ying Liu;  Gong-Ping Yang;   Yu-Wen Huang;  Fu-Xian Huang
Adobe PDF(1126Kb)  |  收藏  |  浏览/下载：29/13  |  提交时间：2024/04/23
Photoplethysmography (PPG) signal , biometric recognition, multiple scale, deep neural network, dual-domain attention