中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共35条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Context feature fusion and enhanced non-maximum suppression for pedestrian detection in crowded scenes 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 页码: 21
作者:  Shao, Yu;  Hu, Jianhua;  Hu, Lihua;  Zhang, Jifu;  Wang, Xinbo
收藏  |  浏览/下载：6/0  |  提交时间：2024/05/30
Densely populated  Pedestrian detection  Occlusion  Contextual information  
VLP2MSA: Expanding vision-language pre-training to multimodal sentiment analysis 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 283, 页码: 9
作者:  Yi, Guofeng;  Fan, Cunhang;  Zhu, Kang;  Lv, Zhao;  Liang, Shan;  Wen, Zhengqi;  Pei, Guanxiong;  Li, Taihao;  Tao, Jianhua
收藏  |  浏览/下载：90/0  |  提交时间：2024/02/22
Multimodal sentiment analysis  Vision-language  Multimodal fusion  
Multi-task safe reinforcement learning for navigating intersections in dense traffic 期刊论文
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2023, 卷号: 360, 期号: 17, 页码: 13737-13760
作者:  Liu, Yuqi;  Gao, Yinfeng;  Zhang, Qichao;  Ding, Dawei;  Zhao, Dongbin
Adobe PDF(3095Kb)  |  收藏  |  浏览/下载：50/3  |  提交时间：2024/02/22
Adversarial Multi-Task Learning for Mandarin Prosodic Boundary Prediction With Multi-Modal Embeddings 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2023, 卷号: 31, 页码: 2963-2973
作者:  Yi, Jiangyan;  Tao, Jianhua;  Fu, Ruibo;  Wang, Tao;  Zhang, Chu Yuan;  Wang, Chenglong
收藏  |  浏览/下载：61/0  |  提交时间：2023/11/17
Adversarial training  multi-task learning  prosodic boundaries  speech synthesis  multi-modal embeddings  
Hierarchical graph attention network for temporal knowledge graph reasoning 期刊论文
NEUROCOMPUTING, 2023, 卷号: 550, 页码: 126390
作者:  Shao, Pengpeng;  He, Jiayi;  Li, Guanjun;  Zhang, Dawei;  Tao, Jianhua
Adobe PDF(589Kb)  |  收藏  |  浏览/下载：137/1  |  提交时间：2023/11/17
Temporal knowledge graphs  Graph attention network  Reasoning  
GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 7, 页码: 8419-8432
作者:  Lian, Zheng;  Chen, Lan;  Sun, Licai;  Liu, Bin;  Tao, Jianhua
Adobe PDF(3959Kb)  |  收藏  |  浏览/下载：150/2  |  提交时间：2023/11/17
Oral communication  Correlation  Data models  Task analysis  Feature extraction  Tensors  Benchmark testing  Conversational data  graph complete network (GCNet)  incomplete multimodal learning  speaker-sensitive modeling  temporal-sensitive modeling  
Lateral interaction by Laplacian-based graph smoothing for deep neural networks 期刊论文
CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY, 2023, 页码: 18
作者:  Chen, Jianhui;  Wang, Zuoren;  Liu, Cheng-Lin
收藏  |  浏览/下载：91/0  |  提交时间：2023/11/16
artificial neural networks  biologically plausible  Laplacian-based graph smoothing  lateral interaction  machine learning  
Two-stage deep spectrum fusion for noise-robust end-to-end speech recognition 期刊论文
APPLIED ACOUSTICS, 2023, 卷号: 212, 页码: 10
作者:  Fan, Cunhang;  Ding, Mingming;  Yi, Jiangyan;  Li, Jinpeng;  Lv, Zhao
收藏  |  浏览/下载：40/0  |  提交时间：2023/11/16
Robust end-to-end ASR  Speech enhancement  Masking and mapping  Speech distortion  Deep spectrum fusion  
SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition 期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 3, 页码: 2415-2429
作者:  Lian, Zheng;  Liu, Bin;  Tao, Jianhua
Adobe PDF(2103Kb)  |  收藏  |  浏览/下载：120/3  |  提交时间：2023/11/15
Emotion recognition  Feature extraction  Training  Acoustics  Semisupervised learning  Benchmark testing  Hidden Markov models  Semi-supervised multi-modal interaction network (SMIN)  conversational emotion recognition  semi-supervised learning  intra-modal interaction  cross-modal interaction  
Table Structure Recognition and Form Parsing by End-to-End Object Detection and Relation Parsing 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 132, 页码: 14
作者:  Li, Xiao-Hui;  Yin, Fei;  Dai, He-Sen;  Liu, Cheng-Lin
收藏  |  浏览/下载：257/0  |  提交时间：2022/11/14
Table detection  Table structure recognition  Template -free form parsing  Graph neural network  End -to -end training