机构

• 自动化研究所 [9]
• 计算技术研究所 [3]

采集方式

• OAI收割 [12]

内容类型

• 期刊论文 [11]
• 学位论文 [1]

发表日期

• 2024 [2]
• 2023 [3]
• 2022 [1]
• 2021 [3]
• 2019 [1]
• 2018 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共12条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Self-supervised spatial-temporal feature enhancement for one-shot video object detection 期刊论文  OAI收割 NEUROCOMPUTING, 2024, 卷号: 601, 页码: 11 作者:  Yao, Xudong;  Yang, Xiaoshan   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/09/09 One-shot  Video object detection  Video understanding   Toward Egocentric Compositional Action Anticipation with Adaptive Semantic Debiasing 期刊论文  OAI收割 ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2024, 卷号: 20, 期号: 5, 页码: 21 作者:  Zhang, Tianyu;  Min, Weiqing;  Liu, Tao;  Jiang, Shuqiang;  Rui, Yong   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/05/20 Egocentric video understanding  compositional action anticipation  semantic bias  adaptive counterfactual analysis   MIFNet: Multiple instances focused temporal action proposal generation 期刊论文  OAI收割 NEUROCOMPUTING, 2023, 卷号: 538, 页码: 13 作者:  Wang, Lining;  Yao, Hongxun;  Yang, Haosen;  Wang, Sibo;  Jin, Sheng   |  收藏  |  浏览/下载：28/0  |  提交时间：2023/12/04 Video understanding  Temporal action proposal  Temporal action detection  Contrastive learning  Multiple instances   Compositional Prompting Video-language Models to Understand Procedure in Instructional Videos 期刊论文  OAI收割 Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 249-262 作者:  Guyue Hu;  Bin He;  Hanwang Zhang   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/04/23 Prompt learning  video-language pretrained models  instructional videos  procedure understanding  knowledge distilling   Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects 期刊论文  OAI收割 Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 335-369 作者:  Rui Jiang;  Ruixiang Zhu;  Hu Su;  Yinlin Li;  Yuan Xie   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/04/23 Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding   Anchor-free temporal action localization via Progressive Boundary-aware Boosting 期刊论文  OAI收割 Information Processing & Management, 2022, 卷号: 60, 期号: 1, 页码: 103141 作者:  Tang, Yepeng;  Wang, Weining;  Yang, Yanwu   |  收藏  |  浏览/下载：10/0  |  提交时间：2023/05/03 Temporal action localization  Anchor-free  Video understanding   SAPS: Self-Attentive Pathway Search for weakly-supervised action localization with-action 期刊论文  OAI收割 COMPUTER VISION AND IMAGE UNDERSTANDING, 2021, 卷号: 210, 页码: 9 作者:  Zhang, Xiao-Yu;  Zhang, Yaru;  Shi, Haichao;  Dong, Jing   |  收藏  |  浏览/下载：60/0  |  提交时间：2021/11/03 Video understanding  Action localization  Representation learning  Neural architecture search  Background modeling   A Comprehensive Review on Group Activity Recognition in Videos 期刊论文  OAI收割 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 334-350 作者:  Li-Fang Wu;  Qi Wang;  Meng Jian;  Yu Qiao;  Bo-Xuan Zhao   |  收藏  |  浏览/下载：15/0  |  提交时间：2021/05/24 Group activity recognition (GAR)  human activity recognition  scene understanding  video analysis  computer vision   Bridging Text and Video: A Universal Multimodal Transformer for Audio-Visual Scene-Aware Dialog 期刊论文  OAI收割 IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2021, 卷号: 29, 页码: 2476-2483 作者:  Li, Zekang;  Li, Zongjia;  Zhang, Jinchao;  Feng, Yang;  Zhou, Jie   |  收藏  |  浏览/下载：52/0  |  提交时间：2021/12/01 Task analysis  Feature extraction  Visualization  Speech processing  History  Social networking (online)  Pattern recognition  Dialogue System  Multimodal  Natural Language Processing  Video Understanding   Recurrent Prediction with Spatio-temporal Attention for Crowd Attribute Recognition 期刊论文  OAI收割 IEEE Transactions on Circuits and Systems for Video Technology, 2019, 期号: Early Access, 页码: 1 - 1 作者:  Li QZ(李乔哲);  Zhao X(赵鑫);  He R(赫然);  Huang KQ(黄凯奇);  He, Ran   |  收藏  |  浏览/下载：67/0  |  提交时间：2020/01/14 Crowd video understanding , Attribute recognition , Attention mechanism , Multi-label classification