中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共38条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
ReChoreoNet: Repertoire-based Dance Re-choreography with Music-conditioned Temporal and Style Clues 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 771-781
作者:  Ho Yin Au;  Jie Chen;  Junkun Jiang;  Yike Guo
Adobe PDF(2161Kb)  |  收藏  |  浏览/下载：23/7  |  提交时间：2024/07/18
Generative model  cross-modality learning  normalizing flow  tempo synchronization  style transfer  
A Novel Divide and Conquer Solution for Long-term Video Salient Object Detection 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 684-703
作者:  Yun-Xiao Li;  Cheng-Li-Zhao Chen;   Shuai Li;   Ai-Min Hao;  Hong Qin
Adobe PDF(6454Kb)  |  收藏  |  浏览/下载：28/10  |  提交时间：2024/07/18
Video salient object detection  background consistency analysis  weakly supervised learning  long-term information  background shift  
Towards Domain-agnostic Depth Completion 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 652-669
作者:  Guangkai Xu;   Wei Yin;   Jianming Zhang;   Oliver Wang;  Simon Niklaus;   Simon Chen;   Jia-Wang Bian
Adobe PDF(17196Kb)  |  收藏  |  浏览/下载：19/5  |  提交时间：2024/07/18
Monocular depth estimation  depth completion  zero-shot generalization  scene reconstruction  neural network  
Segment Anything Is Not Always Perfect: An Investigationof SAM on Different Real-world Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 617-630
作者:  Wei Ji;   Jingjing Li;   Qi Bi;   Tingwei Liu;  Wenbo Li;   Li Cheng
Adobe PDF(11623Kb)  |  收藏  |  浏览/下载：15/4  |  提交时间：2024/07/18
Segment anything model (SAM)  visual perception  segmentation  foundational model  computer vision  
Enhance the Performance of Directional Feature-based Palmprint Recognition by Directional Response Stability Measurement 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 597-614
作者:  Haitao Wang;  Wei Jia
Adobe PDF(1236Kb)  |  收藏  |  浏览/下载：97/36  |  提交时间：2024/05/23
Biometrics, palmprint recognition, directional response stability, directional coding-based methods, directional feature  
An Empirical Study on Google Research Football Multi-agent Scenarios 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 549-570
作者:  Yan Song;  He Jiang;  Zheng Tian;  Haifeng Zhang;  Yingping Zhang;  Jiangcheng Zhu;  Zonghong Dai;  Weinan Zhang;  Jun Wang
Adobe PDF(24588Kb)  |  收藏  |  浏览/下载：65/19  |  提交时间：2024/05/23
Multi-agent reinforcement learning (RL), distributed RL system, population-based training, reward shaping, game theory  
Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 411-430
作者:  Qiyue Yin;  Tongtong Yu;  Shengqi Shen;  Jun Yang;  Meijing Zhao;  Wancheng Ni;  Kaiqi Huang;  Bin Liang;  Liang Wang
Adobe PDF(2923Kb)  |  收藏  |  浏览/下载：57/21  |  提交时间：2024/05/23
Deep reinforcement learning, distributed machine learning, self-play, population-play, toolbox  
A Comprehensive Overview of CFN From a Commonsense Perspective 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 239-256
作者:  Ru Li;  Yunxiao Zhao;  Zhiqiang Wang;  Xuefeng Su;  Shaoru Guo;  Yong Guan;  Xiaoqi Han;  Hongyan Zhao
Adobe PDF(2392Kb)  |  收藏  |  浏览/下载：64/18  |  提交时间：2024/04/23
Chinese FrameNet (CFN), commonsense, scenario commonsense, frame, knowledge  
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：77/27  |  提交时间：2024/04/23
Medical dialogue understanding, information extraction, text generation, knowledge-enhanced prompt, low-resource setting, data augmentation  
Multimodal Fusion of Brain Imaging Data: Methods and Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 136-152
作者:  Na Luo;  Weiyang Shi;  Zhengyi Yang;  Ming Song;  Tianzi Jiang
Adobe PDF(1726Kb)  |  收藏  |  浏览/下载：96/27  |  提交时间：2024/04/23
Multimodal fusion, supervised learning, unsupervised learning, brain atlas, cognition, brain disorders