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检索条件"机构=Jiangsu Key Lab of Computer Information Processing Technology"
1043 条 记 录,以下是231-240 订阅
排序:
SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation
arXiv
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arXiv 2023年
作者: An, Xiaoqi Zhao, Lin Gong, Chen Wang, Nannan Wang, Di Yang, Jian PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology China State Key Laboratory of Integrated Services Networks Xidian University China
High-resolution representation is essential for achieving good performance in human pose estimation models. To obtain such features, existing works utilize high-resolution input images or fine-grained image tokens. Ho... 详细信息
来源: 评论
Towards End-to-End Unsupervised Saliency Detection with Self-Supervised Top-Down Context
arXiv
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arXiv 2023年
作者: Song, Yicheng Gao, Shuyong Xing, Haozhe Cheng, Yiting Wang, Yan Zhang, Wenqiang Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University Shanghai China Keenon Robotics Co. Ltd. Shanghai China Academy for Engineering & Technology Fudan University Shanghai China
Unsupervised salient object detection aims to detect salient objects without using supervision signals eliminating the tedious task of manually labeling salient objects. To improve training efficiency, end-to-end meth... 详细信息
来源: 评论
Inspire the Large Language Model by External Knowledge on BioMedical Named Entity Recognition
arXiv
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arXiv 2023年
作者: Bian, Junyi Zheng, Jiaxuan Zhang, Yuyi Zhu, Shanfeng School of Computer Science Fudan University Shanghai200433 China Institute of Science and Technology for Brain-Inspired Intelligence Fudan University China Shanghai Key Lab of Intelligent Information Processing Fudan University Shanghai200433 China
Large language models (LLMs) have demonstrated dominating performance in many NLP tasks, especially on generative tasks. However, they often fall short in some information extraction tasks, particularly those requirin... 详细信息
来源: 评论
Clothed Human Performance Capture with a Double-layer Neural Radiance Fields
Clothed Human Performance Capture with a Double-layer Neural...
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Conference on computer Vision and Pattern Recognition (CVPR)
作者: Kangkan Wang Guofeng Zhang Suxu Cong Jian Yang Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology China State Key Laboratory of CAD&CG Zhejiang University China
This paper addresses the challenge of capturing performance for the clothed humans from sparse-view or monocular videos. Previous methods capture the performance of full humans with a personalized template or recover ...
来源: 评论
Characterizing and Understanding Development of Social Computing Through DBLP: A Data-Driven Analysis
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Journal of Social Computing 2022年 第4期3卷 287-302页
作者: Jiaqi Wu Bodian Ye Qingyuan Gong Atte Oksanen Cong Li Jingjing Qu Felicia F.Tian Xiang Li Yang Chen the Shanghai Key Lab of Intelligent Information Processing the School of Computer ScienceFudan UniversityShanghai 200438China the Faculty of Social Sciences Tampere UniversityTampere 33100Finland School of Information Science and Technology Fudan UniversityShanghai 200438China Shanghai Artificial Intelligence Laboratory Shanghai 200232China. School of Social Development and Public Policy Fudan UniversityShanghai 200433China. Institute of Complex Networks and Intelligent Systems Shanghai Research Institute for Intelligent Autonomous SystemsTongji UniversityShanghai 200092China.
During the past decades,the term“social computing”has become a promising interdisciplinary area in the intersection of computer science and social *** this work,we conduct a data-driven study to understand the devel... 详细信息
来源: 评论
VANER: Leveraging Large Language Model for Versatile and Adaptive Biomedical Named Entity Recognition  27
VANER: Leveraging Large Language Model for Versatile and Ada...
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27th European Conference on Artificial Intelligence, ECAI 2024
作者: Bian, Junyi Zhai, Weiqi Huang, Xiaodi Zheng, Jiaxuan Zhu, Shanfeng School of Computer Science Fudan University Shanghai200433 China Institute of Science and Technology for Brain-Inspired Intelligence Fudan University China Ministry of Education Shanghai200433 China MOE Frontiers Center for Brain Science Fudan University Shanghai200433 China Zhangjiang Fudan International Innovation Center Shanghai200433 China Shanghai Key Lab of Intelligent Information Processing Fudan University Shanghai200433 China School of Computing and Mathematics Charles Sturt University AlburyNSW2640 Australia
The prevalent solution for BioNER involves using representation learning techniques combined with sequence ***, such methods are inherently task-specific, demonstrate poor generalizability, and often require a dedicat... 详细信息
来源: 评论
Video Action Recognition Method Based on Personalized Federated Learning and Spatiotemporal Features
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computers, Materials and Continua 2025年 第3期83卷 4961-4978页
作者: Wu, Rongsen Xu, Jie Zhang, Yuhang Zhao, Changming Xie, Yiweng Wu, Zelei Li, Yunji Guo, Jinhong Tang, Shiyang School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China School of Computer Science Chengdu University of Information Technology Chengdu610225 China Shanghai Key Lab of Intelligent Information Processing School of CS Fudan University Shanghai200433 China School of Sensing Science and Engineering Shanghai Jiao Tong University Shanghai200240 China School of Mechanical and Manufacturing Engineering University of New South Wales Sydney2052 Australia School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom
With the rapid development of artificial intelligence and Internet of Things technologies, video action recognition technology is widely applied in various scenarios, such as personal life and industrial production. H... 详细信息
来源: 评论
VideoPure: Diffusion-based Adversarial Purification for Video Recognition
arXiv
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arXiv 2025年
作者: Jiang, Kaixun Chen, Zhaoyu Fu, Jiyuan Hong, Lingyi Li, Jinglun Zhang, Wenqiang Shanghai Engineering Research Center of AI Robotics Academy for Engineering & Technology Fudan University Shanghai China Engineering Research Center of AI & Robotics Ministry of Education Academy for Engineering & Technology Fudan University Shanghai China Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University Shanghai China
—Recent work indicates that video recognition models are vulnerable to adversarial examples, posing a serious security risk to downstream applications. However, current research has primarily focused on adversarial a... 详细信息
来源: 评论
Community-Centric Graph Unlearning
arXiv
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arXiv 2024年
作者: Li, Yi Zhang, Shichao Zhang, Guixian Cheng, Debo Key Lab of Education Blockchain and Intelligent Technology Ministry of Education Guangxi Normal University Guilin541004 China Guangxi Key Lab of Multi-Source Information Mining and Security Guangxi Normal University Guilin541004 China School of Computer Science and Technology China University of Mining and Technology Xuzhou Jiangsu221116 China UniSA STEM University of South Australia Mawson Lakes Adelaide Australia
Graph unlearning technology has become increasingly important since the advent of the ‘right to be forgotten’ and the growing concerns about the privacy and security of artificial intelligence. Graph unlearning aims... 详细信息
来源: 评论
Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems
arXiv
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arXiv 2024年
作者: Huang, Zhirong Zhang, Shichao Cheng, Debo Li, Jiuyong Liu, Lin Zhang, Guixian Key Lab of Education Blockchain and Intelligent Technology Ministry of Education Guangxi Normal University Guilin541004 China Guangxi Key Lab of Multi-Source Information Mining and Security Guangxi Normal University Guilin541004 China UniSA STEM University of South Australia Mawson Lakes Adelaide Australia School of Computer Science and Technology China University of Mining and Technology Jiangsu Xuzhou221116 China
In recommender systems, popularity and conformity biases undermine recommender effectiveness by disproportionately favouring popular items, leading to their over-representation in recommendation lists and causing an u... 详细信息
来源: 评论